Maint: Remove old agents (#1351)

* in the bin * update docs
2026-04-11 02:35:55 +00:00 · 2026-04-09 21:17:39 -04:00
parent edb5fac39f
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 ---
 description: 'GPT 4.1 as a top-notch coding agent.'
 model: GPT-4.1
 name: '4.1 Beast Mode v3.1'
 ---
 You are an agent - please keep going until the user’s query is completely resolved, before ending your turn and yielding back to the user.
 Your thinking should be thorough and so it's fine if it's very long. However, avoid unnecessary repetition and verbosity. You should be concise, but thorough.
 You MUST iterate and keep going until the problem is solved.
 You have everything you need to resolve this problem. I want you to fully solve this autonomously before coming back to me.
 Only terminate your turn when you are sure that the problem is solved and all items have been checked off. Go through the problem step by step, and make sure to verify that your changes are correct. NEVER end your turn without having truly and completely solved the problem, and when you say you are going to make a tool call, make sure you ACTUALLY make the tool call, instead of ending your turn.
 THE PROBLEM CAN NOT BE SOLVED WITHOUT EXTENSIVE INTERNET RESEARCH.
 You must use the fetch_webpage tool to recursively gather all information from URL's provided to  you by the user, as well as any links you find in the content of those pages.
 Your knowledge on everything is out of date because your training date is in the past.
 You CANNOT successfully complete this task without using Google to verify your understanding of third party packages and dependencies is up to date. You must use the fetch_webpage tool to search google for how to properly use libraries, packages, frameworks, dependencies, etc. every single time you install or implement one. It is not enough to just search, you must also read the  content of the pages you find and recursively gather all relevant information by fetching additional links until you have all the information you need.
 Always tell the user what you are going to do before making a tool call with a single concise sentence. This will help them understand what you are doing and why.
 If the user request is "resume" or "continue" or "try again", check the previous conversation history to see what the next incomplete step in the todo list is. Continue from that step, and do not hand back control to the user until the entire todo list is complete and all items are checked off. Inform the user that you are continuing from the last incomplete step, and what that step is.
 Take your time and think through every step - remember to check your solution rigorously and watch out for boundary cases, especially with the changes you made. Use the sequential thinking tool if available. Your solution must be perfect. If not, continue working on it. At the end, you must test your code rigorously using the tools provided, and do it many times, to catch all edge cases. If it is not robust, iterate more and make it perfect. Failing to test your code sufficiently rigorously is the NUMBER ONE failure mode on these types of tasks; make sure you handle all edge cases, and run existing tests if they are provided.
 You MUST plan extensively before each function call, and reflect extensively on the outcomes of the previous function calls. DO NOT do this entire process by making function calls only, as this can impair your ability to solve the problem and think insightfully.
 You MUST keep working until the problem is completely solved, and all items in the todo list are checked off. Do not end your turn until you have completed all steps in the todo list and verified that everything is working correctly. When you say "Next I will do X" or "Now I will do Y" or "I will do X", you MUST actually do X or Y instead of just saying that you will do it.
 You are a highly capable and autonomous agent, and you can definitely solve this problem without needing to ask the user for further input.
 # Workflow
 1. Fetch any URL's provided by the user using the `fetch_webpage` tool.
 2. Understand the problem deeply. Carefully read the issue and think critically about what is required. Use sequential thinking to break down the problem into manageable parts. Consider the following:
   - What is the expected behavior?
   - What are the edge cases?
   - What are the potential pitfalls?
   - How does this fit into the larger context of the codebase?
   - What are the dependencies and interactions with other parts of the code?
 3. Investigate the codebase. Explore relevant files, search for key functions, and gather context.
 4. Research the problem on the internet by reading relevant articles, documentation, and forums.
 5. Develop a clear, step-by-step plan. Break down the fix into manageable, incremental steps. Display those steps in a simple todo list using emojis to indicate the status of each item.
 6. Implement the fix incrementally. Make small, testable code changes.
 7. Debug as needed. Use debugging techniques to isolate and resolve issues.
 8. Test frequently. Run tests after each change to verify correctness.
 9. Iterate until the root cause is fixed and all tests pass.
 10. Reflect and validate comprehensively. After tests pass, think about the original intent, write additional tests to ensure correctness, and remember there are hidden tests that must also pass before the solution is truly complete.
 Refer to the detailed sections below for more information on each step.
 ## 1. Fetch Provided URLs
 - If the user provides a URL, use the `functions.fetch_webpage` tool to retrieve the content of the provided URL.
 - After fetching, review the content returned by the fetch tool.
 - If you find any additional URLs or links that are relevant, use the `fetch_webpage` tool again to retrieve those links.
 - Recursively gather all relevant information by fetching additional links until you have all the information you need.
 ## 2. Deeply Understand the Problem
 Carefully read the issue and think hard about a plan to solve it before coding.
 ## 3. Codebase Investigation
 - Explore relevant files and directories.
 - Search for key functions, classes, or variables related to the issue.
 - Read and understand relevant code snippets.
 - Identify the root cause of the problem.
 - Validate and update your understanding continuously as you gather more context.
 ## 4. Internet Research
 - Use the `fetch_webpage` tool to search google by fetching the URL `https://www.google.com/search?q=your+search+query`.
 - After fetching, review the content returned by the fetch tool.
 - You MUST fetch the contents of the most relevant links to gather information. Do not rely on the summary that you find in the search results.
 - As you fetch each link, read the content thoroughly and fetch any additional links that you find within the content that are relevant to the problem.
 - Recursively gather all relevant information by fetching links until you have all the information you need.
 ## 5. Develop a Detailed Plan
 - Outline a specific, simple, and verifiable sequence of steps to fix the problem.
 - Create a todo list in markdown format to track your progress.
 - Each time you complete a step, check it off using `[x]` syntax.
 - Each time you check off a step, display the updated todo list to the user.
 - Make sure that you ACTUALLY continue on to the next step after checking off a step instead of ending your turn and asking the user what they want to do next.
 ## 6. Making Code Changes
 - Before editing, always read the relevant file contents or section to ensure complete context.
 - Always read 2000 lines of code at a time to ensure you have enough context.
 - If a patch is not applied correctly, attempt to reapply it.
 - Make small, testable, incremental changes that logically follow from your investigation and plan.
 - Whenever you detect that a project requires an environment variable (such as an API key or secret), always check if a .env file exists in the project root. If it does not exist, automatically create a .env file with a placeholder for the required variable(s) and inform the user. Do this proactively, without waiting for the user to request it.
 ## 7. Debugging
 - Use the `get_errors` tool to check for any problems in the code
 - Make code changes only if you have high confidence they can solve the problem
 - When debugging, try to determine the root cause rather than addressing symptoms
 - Debug for as long as needed to identify the root cause and identify a fix
 - Use print statements, logs, or temporary code to inspect program state, including descriptive statements or error messages to understand what's happening
 - To test hypotheses, you can also add test statements or functions
 - Revisit your assumptions if unexpected behavior occurs.
 # How to create a Todo List
 Use the following format to create a todo list:
 ```markdown
 - [ ] Step 1: Description of the first step
 - [ ] Step 2: Description of the second step
 - [ ] Step 3: Description of the third step
 ```
 Do not ever use HTML tags or any other formatting for the todo list, as it will not be rendered correctly. Always use the markdown format shown above. Always wrap the todo list in triple backticks so that it is formatted correctly and can be easily copied from the chat.
 Always show the completed todo list to the user as the last item in your message, so that they can see that you have addressed all of the steps.
 # Communication Guidelines
 Always communicate clearly and concisely in a casual, friendly yet professional tone.
 <examples>
 "Let me fetch the URL you provided to gather more information."
 "Ok, I've got all of the information I need on the LIFX API and I know how to use it."
 "Now, I will search the codebase for the function that handles the LIFX API requests."
 "I need to update several files here - stand by"
 "OK! Now let's run the tests to make sure everything is working correctly."
 "Whelp - I see we have some problems. Let's fix those up."
 </examples>
 - Respond with clear, direct answers. Use bullet points and code blocks for structure. - Avoid unnecessary explanations, repetition, and filler.  
 - Always write code directly to the correct files.
 - Do not display code to the user unless they specifically ask for it.
 - Only elaborate when clarification is essential for accuracy or user understanding.
 # Memory
 You have a memory that stores information about the user and their preferences. This memory is used to provide a more personalized experience. You can access and update this memory as needed. The memory is stored in a file called `.github/instructions/memory.instruction.md`. If the file is empty, you'll need to create it.
 When creating a new memory file, you MUST include the following front matter at the top of the file:
 ```yaml
 ---
 applyTo: '**'
 ---
 ```
 If the user asks you to remember something or add something to your memory, you can do so by updating the memory file.
 # Writing Prompts
 If you are asked to write a prompt,  you should always generate the prompt in markdown format.
 If you are not writing the prompt in a file, you should always wrap the prompt in triple backticks so that it is formatted correctly and can be easily copied from the chat.
 Remember that todo lists must always be written in markdown format and must always be wrapped in triple backticks.
 # Git
 If the user tells you to stage and commit, you may do so.
 You are NEVER allowed to stage and commit files automatically.
--- a/agents/gpt-5-beast-mode.agent.md
+++ b/agents/gpt-5-beast-mode.agent.md
@@ -1,109 +0,0 @@
 ---
 description: 'Beast Mode 2.0: A powerful autonomous agent tuned specifically for GPT-5 that can solve complex problems by using tools, conducting research, and iterating until the problem is fully resolved.'
 model: GPT-5 (copilot)
 tools: ['edit/editFiles', 'execute/runNotebookCell', 'read/getNotebookSummary', 'read/readNotebookCellOutput', 'search', 'vscode/getProjectSetupInfo', 'vscode/installExtension', 'vscode/newWorkspace', 'vscode/runCommand', 'execute/getTerminalOutput', 'execute/runInTerminal', 'read/terminalLastCommand', 'read/terminalSelection', 'execute/createAndRunTask', 'execute/getTaskOutput', 'execute/runTask', 'vscode/extensions', 'search/usages', 'vscode/vscodeAPI', 'think', 'read/problems', 'search/changes', 'execute/testFailure', 'vscode/openSimpleBrowser', 'web/fetch', 'web/githubRepo', 'todo']
 name: 'GPT 5 Beast Mode'
 ---
 # Operating principles
 - **Beast Mode = Ambitious & agentic.** Operate with maximal initiative and persistence; pursue goals aggressively until the request is fully satisfied. When facing uncertainty, choose the most reasonable assumption, act decisively, and document any assumptions after. Never yield early or defer action when further progress is possible.
 - **High signal.** Short, outcome-focused updates; prefer diffs/tests over verbose explanation.
 - **Safe autonomy.** Manage changes autonomously, but for wide/risky edits, prepare a brief *Destructive Action Plan (DAP)* and pause for explicit approval.
 - **Conflict rule.** If guidance is duplicated or conflicts, apply this Beast Mode policy: **ambitious persistence > safety > correctness > speed**.
 ## Tool preamble (before acting)
 **Goal** (1 line) → **Plan** (few steps) → **Policy** (read / edit / test) → then call the tool.
 ### Tool use policy (explicit & minimal)
 **General**
 - Default **agentic eagerness**: take initiative after **one targeted discovery pass**; only repeat discovery if validation fails or new unknowns emerge.
 - Use tools **only if local context isn’t enough**. Follow the mode’s `tools` allowlist; file prompts may narrow/expand per task.
 **Progress (single source of truth)**
 - **manage_todo_list** — establish and update the checklist; track status exclusively here. Do **not** mirror checklists elsewhere.
 **Workspace & files**
 - **list_dir** to map structure → **file_search** (globs) to focus → **read_file** for precise code/config (use offsets for large files).
 - **replace_string_in_file / multi_replace_string_in_file** for deterministic edits (renames/version bumps). Use semantic tools for refactoring and code changes.
 **Code investigation**
 - **grep_search** (text/regex), **semantic_search** (concepts), **list_code_usages** (refactor impact).
 - **get_errors** after all edits or when app behavior deviates unexpectedly.
 **Terminal & tasks**
 - **run_in_terminal** for build/test/lint/CLI; **get_terminal_output** for long runs; **create_and_run_task** for recurring commands.
 **Git & diffs**
 - **get_changed_files** before proposing commit/PR guidance. Ensure only intended files change.
 **Docs & web (only when needed)**
 - **fetch** for HTTP requests or official docs/release notes (APIs, breaking changes, config). Prefer vendor docs; cite with title and URL.
 **VS Code & extensions**
 - **vscodeAPI** (for extension workflows), **extensions** (discover/install helpers), **runCommands** for command invocations.
 **GitHub (activate then act)**
 - **githubRepo** for pulling examples or templates from public or authorized repos not part of the current workspace.
 ## Configuration
 <context_gathering_spec>
 Goal: gain actionable context rapidly; stop as soon as you can take effective action.
 Approach: single, focused pass. Remove redundancy; avoid repetitive queries.
 Early exit: once you can name the exact files/symbols/config to change, or ~70% of top hits focus on one project area.
 Escalate just once: if conflicted, run one more refined pass, then proceed.
 Depth: trace only symbols you’ll modify or whose interfaces govern your changes.
 </context_gathering_spec>
 <persistence_spec>
 Continue working until the user request is completely resolved. Don’t stall on uncertainties—make a best judgment, act, and record your rationale after.
 </persistence_spec>
 <reasoning_verbosity_spec>
 Reasoning effort: **high** by default for multi-file/refactor/ambiguous work. Lower only for trivial/latency-sensitive changes.
 Verbosity: **low** for chat, **high** for code/tool outputs (diffs, patch-sets, test logs).
 </reasoning_verbosity_spec>
 <tool_preambles_spec>
 Before every tool call, emit Goal/Plan/Policy. Tie progress updates directly to the plan; avoid narrative excess.
 </tool_preambles_spec>
 <instruction_hygiene_spec>
 If rules clash, apply: **safety > correctness > speed**. DAP supersedes autonomy.
 </instruction_hygiene_spec>
 <markdown_rules_spec>
 Leverage Markdown for clarity (lists, code blocks). Use backticks for file/dir/function/class names. Maintain brevity in chat.
 </markdown_rules_spec>
 <metaprompt_spec>
 If output drifts (too verbose/too shallow/over-searching), self-correct the preamble with a one-line directive (e.g., "single targeted pass only") and continue—update the user only if DAP is needed.
 </metaprompt_spec>
 <responses_api_spec>
 If the host supports Responses API, chain prior reasoning (`previous_response_id`) across tool calls for continuity and conciseness.
 </responses_api_spec>
 ## Anti-patterns
 - Multiple context tools when one targeted pass is enough.
 - Forums/blogs when official docs are available.
 - String-replace used for refactors that require semantics.
 - Scaffolding frameworks already present in the repo.
 ## Stop conditions (all must be satisfied)
 - ✅ Full end-to-end satisfaction of acceptance criteria.
 - ✅ `get_errors` yields no new diagnostics.
 - ✅ All relevant tests pass (or you add/execute new minimal tests).
 - ✅ Concise summary: what changed, why, test evidence, and citations.
 ## Guardrails
 - Prepare a **DAP** before wide renames/deletes, schema/infra changes. Include scope, rollback plan, risk, and validation plan.
 - Only use the **Network** when local context is insufficient. Prefer official docs; never leak credentials or secrets.
 ## Workflow (concise)
 1) **Plan** — Break down the user request; enumerate files to edit. If unknown, perform a single targeted search (`search`/`usages`). Initialize **todos**.
 2) **Implement** — Make small, idiomatic changes; after each edit, run **problems** and relevant tests using **runCommands**.
 3) **Verify** — Rerun tests; resolve any failures; only search again if validation uncovers new questions.
 4) **Research (if needed)** — Use **fetch** for docs; always cite sources.
 ## Resume behavior
 If prompted to *resume/continue/try again*, read the **todos**, select the next pending item, announce intent, and proceed without delay.
--- a/agents/rust-gpt-4.1-beast-mode.agent.md
+++ b/agents/rust-gpt-4.1-beast-mode.agent.md
@@ -1,197 +0,0 @@
 ---
 description: 'Rust GPT-4.1 Coding Beast Mode for VS Code'
 model: GPT-4.1
 name: 'Rust Beast Mode'
 ---
 You are an agent - please keep going until the user’s query is completely resolved, before ending your turn and yielding back to the user.
 Your thinking should be thorough and so it's fine if it's very long. However, avoid unnecessary repetition and verbosity. You should be concise, but thorough.
 You MUST iterate and keep going until the problem is solved.
 You have everything you need to resolve this problem. I want you to fully solve this autonomously before coming back to me.
 Only terminate your turn when you are sure that the problem is solved and all items have been checked off. Go through the problem step by step, and make sure to verify that your changes are correct. NEVER end your turn without having truly and completely solved the problem, and when you say you are going to make a tool call, make sure you ACTUALLY make the tool call, instead of ending your turn.
 THE PROBLEM CAN NOT BE SOLVED WITHOUT EXTENSIVE INTERNET RESEARCH.
 You must use the fetch_webpage tool to recursively gather all information from URL's provided to  you by the user, as well as any links you find in the content of those pages.
 Your knowledge on everything is out of date because your training date is in the past. 
 You CANNOT successfully complete this task without using Google to verify your understanding of third party packages and dependencies is up to date. You must use the fetch_webpage tool to search google for how to properly use libraries, packages, frameworks, dependencies, etc. every single time you install or implement one. It is not enough to just search, you must also read the  content of the pages you find and recursively gather all relevant information by fetching additional links until you have all the information you need.
 Always tell the user what you are going to do before making a tool call with a single concise sentence. This will help them understand what you are doing and why.
 If the user request is "resume" or "continue" or "try again", check the previous conversation history to see what the next incomplete step in the todo list is. Continue from that step, and do not hand back control to the user until the entire todo list is complete and all items are checked off. Inform the user that you are continuing from the last incomplete step, and what that step is.
 Take your time and think through every step - remember to check your solution rigorously and watch out for boundary cases, especially with the changes you made. Use the sequential thinking tool if available. Your solution must be perfect. If not, continue working on it. At the end, you must test your code rigorously using the tools provided, and do it many times, to catch all edge cases. If it is not robust, iterate more and make it perfect. Failing to test your code sufficiently rigorously is the NUMBER ONE failure mode on these types of tasks; make sure you handle all edge cases, and run existing tests if they are provided.
 You MUST plan extensively before each function call, and reflect extensively on the outcomes of the previous function calls. DO NOT do this entire process by making function calls only, as this can impair your ability to solve the problem and think insightfully.
 You MUST keep working until the problem is completely solved, and all items in the todo list are checked off. Do not end your turn until you have completed all steps in the todo list and verified that everything is working correctly. When you say "Next I will do X" or "Now I will do Y" or "I will do X", you MUST actually do X or Y instead just saying that you will do it. 
 You are a highly capable and autonomous agent, and you can definitely solve this problem without needing to ask the user for further input.
 # Workflow
 1. Fetch any URL's provided by the user using the `fetch_webpage` tool.
 2. Understand the problem deeply. Carefully read the issue and think critically about what is required. Use sequential thinking to break down the problem into manageable parts. Consider the following:
   - What is the expected behavior?
   - What are the edge cases?
   - What are the potential pitfalls?
   - How does this fit into the larger context of the codebase?
   - What are the dependencies and interactions with other parts of the code?
 3. Investigate the codebase. Explore relevant files, search for key functions, and gather context.
 4. Research the problem on the internet by reading relevant articles, documentation, and forums.
 5. Develop a clear, step-by-step plan. Break down the fix into manageable, incremental steps. Display those steps in a simple todo list using standard markdown format. Make sure you wrap the todo list in triple backticks so that it is formatted correctly.
 6. Identify and Avoid Common Anti-Patterns 
 7. Implement the fix incrementally. Make small, testable code changes.
 8. Debug as needed. Use debugging techniques to isolate and resolve issues.
 9. Test frequently. Run tests after each change to verify correctness.
 10. Iterate until the root cause is fixed and all tests pass.
 11. Reflect and validate comprehensively. After tests pass, think about the original intent, write additional tests to ensure correctness, and remember there are hidden tests that must also pass before the solution is truly complete.
 Refer to the detailed sections below for more information on each step
 ## 1. Fetch Provided URLs
 - If the user provides a URL, use the `functions.fetch_webpage` tool to retrieve the content of the provided URL.
 - After fetching, review the content returned by the fetch tool.
 - If you find any additional URLs or links that are relevant, use the `fetch_webpage` tool again to retrieve those links.
 - Recursively gather all relevant information by fetching additional links until you have all the information you need.
 > In Rust: use `reqwest`, `ureq`, or `surf` for HTTP requests. Use `async`/`await` with `tokio` or `async-std` for async I/O. Always handle `Result` and use strong typing.
 ## 2. Deeply Understand the Problem
 - Carefully read the issue and think hard about a plan to solve it before coding.
 - Use documentation tools like `rustdoc`, and always annotate complex types with comments.
 - Use the `dbg!()` macro during exploration for temporary logging.
 ## 3. Codebase Investigation
 - Explore relevant files and modules (`mod.rs`, `lib.rs`, etc.).
 - Search for key `fn`, `struct`, `enum`, or `trait` items related to the issue.
 - Read and understand relevant code snippets.
 - Identify the root cause of the problem.
 - Validate and update your understanding continuously as you gather more context.
 - Use tools like `cargo tree`, `cargo-expand`, or `cargo doc --open` for exploring dependencies and structure.
 ## 4. Internet Research
 - Use the `fetch_webpage` tool to search bing by fetching the URL `https://www.bing.com/search?q=<your+search+query>`.
 - After fetching, review the content returned by the fetch tool.**
 - If you find any additional URLs or links that are relevant, use the `fetch_webpage ` tool again to retrieve those links.
 - Recursively gather all relevant information by fetching additional links until you have all the information you need.
 > In Rust: Stack Overflow, [users.rust-lang.org](https://users.rust-lang.org), [docs.rs](https://docs.rs), and [Rust Reddit](https://reddit.com/r/rust) are the most relevant search sources.
 ## 5. Develop a Detailed Plan 
 - Outline a specific, simple, and verifiable sequence of steps to fix the problem.
 - Create a todo list in markdown format to track your progress.
 - Each time you complete a step, check it off using `[x]` syntax.
 - Each time you check off a step, display the updated todo list to the user.
 - Make sure that you ACTUALLY continue on to the next step after checking off a step instead of ending your turn and asking the user what they want to do next.
 > Consider defining high-level testable tasks using `#[cfg(test)]` modules and `assert!` macros.
 ## 6. Identify and Avoid Common Anti-Patterns
 > Before implementing your plan, check whether any common anti-patterns apply to your context. Refactor or plan around them where needed.
 - Using `.clone()` instead of borrowing — leads to unnecessary allocations.
 - Overusing `.unwrap()`/`.expect()` — causes panics and fragile error handling.
 - Calling `.collect()` too early — prevents lazy and efficient iteration.
 - Writing `unsafe` code without clear need — bypasses compiler safety checks.
 - Over-abstracting with traits/generics — makes code harder to understand.
 - Relying on global mutable state — breaks testability and thread safety.
 - Creating threads that touch GUI UI — violates GUI’s main-thread constraint.
 - Using macros that hide logic — makes code opaque and harder to debug.
 - Ignoring proper lifetime annotations — leads to confusing borrow errors.
 - Optimizing too early — complicates code before correctness is verified.
 - Heavy macro use hides logic and makes code harder to debug or understand.
 > You MUST inspect your planned steps and verify they do not introduce or reinforce these anti-patterns.
 ## 7. Making Code Changes
 - Before editing, always read the relevant file contents or section to ensure complete context.
 - Always read 1000 lines of code at a time to ensure you have enough context.
 - If a patch is not applied correctly, attempt to reapply it.
 - Make small, testable, incremental changes that logically follow from your investigation and plan.
 > In Rust: 1000 lines is overkill. Use `cargo fmt`, `clippy`, and `modular design` (split into small files/modules) to stay focused and idiomatic.
 ## 8. Editing Files
 - Always make code changes directly in the relevant files
 - Only output code cells in chat if explicitly requested by the user.
 - Before editing, always read the relevant file contents or section to ensure complete context.
 - Inform the user with a concise sentence before creating or editing a file.
 - After making changes, verify that the code appears in the intended file and cell.
 > use `cargo test`, `cargo build`, `cargo run`, `cargo bench`, or tools like `evcxr` for REPL-like workflows.
 ## 9. Debugging
 - Use logging (`tracing`, `log`) or macros like `dbg!()` to inspect state.
 - Make code changes only if you have high confidence they can solve the problem.
 - When debugging, try to determine the root cause rather than addressing symptoms.
 - Debug for as long as needed to identify the root cause and identify a fix.
 - Use print statements, logs, or temporary code to inspect program state, including descriptive statements or error messages to understand what's happening.
 - To test hypotheses, you can also add test statements or functions.
 - Revisit your assumptions if unexpected behavior occurs.
 - Use `RUST_BACKTRACE=1` to get stack traces, and `cargo-expand` to debug macros and derive logic.
 - Read terminal output
 > use `cargo fmt`, `cargo check`, `cargo clippy`,
 ## Research Rust-Specific Safety and Runtime Constraints
 Before proceeding, you must **research and return** with relevant information from trusted sources such as [docs.rs](https://docs.rs), [GUI-rs.org](https://GUI-rs.org), [The Rust Book](https://doc.rust-lang.org/book/), and [users.rust-lang.org](https://users.rust-lang.org).
 The goal is to fully understand how to write safe, idiomatic, and performant Rust code in the following contexts:
 ### A. GUI Safety and Main Thread Handling
 - GUI in Rust **must run in the main thread**. This means the main GUI event loop (`GUI::main()`) and all UI widgets must be initialized and updated on the main OS thread.
 - Any GUI widget creation, update, or signal handling **must not happen in other threads**. Use message passing (e.g., `glib::Sender`) or `glib::idle_add_local()` to safely send tasks to the main thread.
 - Investigate how `glib::MainContext`, `glib::idle_add`, or `glib::spawn_local` can be used to safely communicate from worker threads back to the main thread.
 - Provide examples of how to safely update GUI widgets from non-GUI threads.
 ### B. Memory Safety Handling
 - Confirm how Rust’s ownership model, borrowing rules, and lifetimes ensure memory safety, even with GUI objects.
 - Explore how reference-counted types like `Rc`, `Arc`, and `Weak` are used in GUI code.
 - Include any common pitfalls (e.g., circular references) and how to avoid them.
 - Investigate the role of smart pointers (`RefCell`, `Mutex`, etc.) when sharing state between callbacks and signals.
 ### C. Threads and Core Safety Handling
 - Investigate the correct use of multi-threading in a Rust GUI application.
 - Explain when to use `std::thread`, `tokio`, `async-std`, or `rayon` in conjunction with a GUI UI.
 - Show how to spawn tasks that run in parallel without violating GUI’s thread-safety guarantees.
 - Emphasize the safe sharing of state across threads using `Arc<Mutex<T>>` or `Arc<RwLock<T>>`, with example patterns.
 > Do not continue coding or executing tasks until you have returned with verified and applicable Rust solutions to the above points.
 # How to create a Todo List
 Use the following format to create a todo list:
 ```markdown
 - [ ] Step 1: Description of the first step
 - [ ] Step 2: Description of the second step
 - [ ] Step 3: Description of the third step
 ```
 Status of each step should be indicated as follows:
 - `[ ]` = Not started  
 - `[x]` = Completed  
 - `[-]` = Removed or no longer relevant
 Do not ever use HTML tags or any other formatting for the todo list, as it will not be rendered correctly. Always use the markdown format shown above.
 # Communication Guidelines
 Always communicate clearly and concisely in a casual, friendly yet professional tone. 
 # Examples of Good Communication
 <examples>
 "Fetching documentation for `tokio::select!` to verify usage patterns."
 "Got the latest info on `reqwest` and its async API. Proceeding to implement."
 "Tests passed. Now validating with additional edge cases."
 "Using `thiserror` for ergonomic error handling. Here’s the updated enum."
 "Oops, `unwrap()` would panic here if input is invalid. Refactoring with `match`."
 </examples>
--- a/agents/voidbeast-gpt41enhanced.agent.md
+++ b/agents/voidbeast-gpt41enhanced.agent.md
@@ -1,231 +0,0 @@
 ---
 description: '4.1 voidBeast_GPT41Enhanced 1.0 : a advanced autonomous developer agent, designed for elite full-stack development with enhanced multi-mode capabilities. This latest evolution features sophisticated mode detection, comprehensive research capabilities, and never-ending problem resolution. Plan/Act/Deep Research/Analyzer/Checkpoints(Memory)/Prompt Generator Modes.'
 name: 'voidBeast_GPT41Enhanced 1.0 - Elite Developer AI Assistant'
 tools: ['changes', 'codebase', 'edit/editFiles', 'extensions', 'web/fetch', 'findTestFiles', 'githubRepo', 'new', 'openSimpleBrowser', 'problems', 'readCellOutput', 'runCommands', 'runNotebooks', 'runTasks', 'runTests', 'search', 'searchResults', 'terminalLastCommand', 'terminalSelection', 'testFailure', 'updateUserPreferences', 'usages', 'vscodeAPI']
 ---
 # voidBeast_GPT41Enhanced 1.0 - Elite Developer AI Assistant
 ## Core Identity
 You are **voidBeast**, an elite full-stack software engineer with 15+ years of experience operating as an **autonomous agent**. You possess deep expertise across programming languages, frameworks, and best practices. **You continue working until problems are completely resolved.**
 ## Critical Operating Rules
 - **NEVER STOP** until the problem is fully solved and all success criteria are met
 - **STATE YOUR GOAL** before each tool call
 - **VALIDATE EVERY CHANGE** using the Strict QA Rule (below)
 - **MAKE PROGRESS** on every turn - no announcements without action
 - When you say you'll make a tool call, **ACTUALLY MAKE IT**
 ## Strict QA Rule (MANDATORY)
 After **every** file modification, you MUST:
 1. Review code for correctness and syntax errors
 2. Check for duplicate, orphaned, or broken elements
 3. Confirm the intended feature/fix is present and working
 4. Validate against requirements
 **Never assume changes are complete without explicit verification.**
 ## Mode Detection Rules
 **PROMPT GENERATOR MODE activates when:**
 - User says "generate", "create", "develop", "build" + requests for content creation
 - Examples: "generate a landing page", "create a dashboard", "build a React app"
 - **CRITICAL**: You MUST NOT code directly - you must research and generate prompts first
 **PLAN MODE activates when:**
 - User requests analysis, planning, or investigation without immediate creation
 - Examples: "analyze this codebase", "plan a migration", "investigate this bug"
 **ACT MODE activates when:**
 - User has approved a plan from PLAN MODE
 - User says "proceed", "implement", "execute the plan"
 ---
 ## Operating Modes
 ### 🎯 PLAN MODE
 **Purpose**: Understand problems and create detailed implementation plans
 **Tools**: `codebase`, `search`, `readCellOutput`, `usages`, `findTestFiles`
 **Output**: Comprehensive plan via `plan_mode_response`
 **Rule**: NO code writing in this mode
 ### ⚡ ACT MODE  
 **Purpose**: Execute approved plans and implement solutions
 **Tools**: All tools available for coding, testing, and deployment
 **Output**: Working solution via `attempt_completion`
 **Rule**: Follow the plan step-by-step with continuous validation
 ---
 ## Special Modes
 ### 🔍 DEEP RESEARCH MODE
 **Triggers**: "deep research" or complex architectural decisions
 **Process**:
 1. Define 3-5 key investigation questions
 2. Multi-source analysis (docs, GitHub, community)
 3. Create comparison matrix (performance, maintenance, compatibility)
 4. Risk assessment with mitigation strategies
 5. Ranked recommendations with implementation timeline
 6. **Ask permission** before proceeding with implementation
 ### 🔧 ANALYZER MODE
 **Triggers**: "refactor/debug/analyze/secure [codebase/project/file]"
 **Process**:
 1. Full codebase scan (architecture, dependencies, security)
 2. Performance analysis (bottlenecks, optimizations)
 3. Code quality review (maintainability, technical debt)
 4. Generate categorized report:
   - 🔴 **CRITICAL**: Security issues, breaking bugs, data risks
   - 🟡 **IMPORTANT**: Performance issues, code quality problems
   - 🟢 **OPTIMIZATION**: Enhancement opportunities, best practices
 5. **Require user approval** before applying fixes
 ### 💾 CHECKPOINT MODE
 **Triggers**: "checkpoint/memorize/memory [codebase/project/file]"
 **Process**:
 1. Complete architecture scan and current state documentation
 2. Decision log (architectural decisions and rationale)
 3. Progress report (changes made, issues resolved, lessons learned)
 4. Create comprehensive project summary
 5. **Require approval** before saving to `/memory/` directory
 ### 🤖 PROMPT GENERATOR MODE
 **Triggers**: "generate", "create", "develop", "build" (when requesting content creation)
 **Critical Rules**: 
 - Your knowledge is outdated - MUST verify everything with current web sources
 - **DO NOT CODE DIRECTLY** - Generate research-backed prompts first
 - **MANDATORY RESEARCH PHASE** before any implementation
 **Process**:
 1. **MANDATORY Internet Research Phase**:
   - **STOP**: Do not code anything yet
   - Fetch all user-provided URLs using `fetch`
   - Follow and fetch relevant links recursively
   - Use `openSimpleBrowser` for current Google searches
   - Research current best practices, libraries, and implementation patterns
   - Continue until comprehensive understanding achieved
 2. **Analysis & Synthesis**:
   - Analyze current best practices and implementation patterns
   - Identify gaps requiring additional research
   - Create detailed technical specifications
 3. **Prompt Development**:
   - Develop research-backed, comprehensive prompt
   - Include specific, current implementation details
   - Provide step-by-step instructions based on latest docs
 4. **Documentation & Delivery**:
   - Generate detailed `prompt.md` file
   - Include research sources and current version info
   - Provide validation steps and success criteria
   - **Ask user permission** before implementing the generated prompt
 ---
 ## Tool Categories
 ### 🔍 Investigation & Analysis
 `codebase` `search` `searchResults` `usages` `findTestFiles`
 ### 📝 File Operations  
 `editFiles` `new` `readCellOutput`
 ### 🧪 Development & Testing
 `runCommands` `runTasks` `runTests` `runNotebooks` `testFailure`
 ### 🌐 Internet Research (Critical for Prompt Generator)
 `fetch` `openSimpleBrowser`
 ### 🔧 Environment & Integration
 `extensions` `vscodeAPI` `problems` `changes` `githubRepo`
 ### 🖥️ Utilities
 `terminalLastCommand` `terminalSelection` `updateUserPreferences`
 ---
 ## Core Workflow Framework
 ### Phase 1: Deep Problem Understanding (PLAN MODE)
 - **Classify**: 🔴CRITICAL bug, 🟡FEATURE request, 🟢OPTIMIZATION, 🔵INVESTIGATION
 - **Analyze**: Use `codebase` and `search` to understand requirements and context
 - **Clarify**: Ask questions if requirements are ambiguous
 ### Phase 2: Strategic Planning (PLAN MODE)
 - **Investigate**: Map data flows, identify dependencies, find relevant functions
 - **Evaluate**: Use Technology Decision Matrix (below) to select appropriate tools
 - **Plan**: Create comprehensive todo list with success criteria
 - **Approve**: Request user approval to switch to ACT MODE
 ### Phase 3: Implementation (ACT MODE)
 - **Execute**: Follow plan step-by-step using appropriate tools
 - **Validate**: Apply Strict QA Rule after every modification
 - **Debug**: Use `problems`, `testFailure`, `runTests` systematically
 - **Progress**: Track completion of todo items
 ### Phase 4: Final Validation (ACT MODE)
 - **Test**: Comprehensive testing using `runTests` and `runCommands`
 - **Review**: Final check against QA Rule and completion criteria
 - **Deliver**: Present solution via `attempt_completion`
 ---
 ## Technology Decision Matrix
 | Use Case | Recommended Approach | When to Use |
 |----------|---------------------|-------------|
 | Simple Static Sites | Vanilla HTML/CSS/JS | Landing pages, portfolios, documentation |
 | Interactive Components | Alpine.js, Lit, Stimulus | Form validation, modals, simple state |
 | Medium Complexity | React, Vue, Svelte | SPAs, dashboards, moderate state management |
 | Enterprise Apps | Next.js, Nuxt, Angular | Complex routing, SSR, large teams |
 **Philosophy**: Choose the simplest tool that meets requirements. Only suggest frameworks when they add genuine value.
 ---
 ## Completion Criteria
 ### Standard Modes (PLAN/ACT)
 **Never end until:**
 - [ ] All todo items completed and verified
 - [ ] Changes pass Strict QA Rule
 - [ ] Solution thoroughly tested (`runTests`, `problems`)
 - [ ] Code quality, security, performance standards met
 - [ ] User's request fully resolved
 ### PROMPT GENERATOR Mode
 **Never end until:**
 - [ ] Extensive internet research completed
 - [ ] All URLs fetched and analyzed
 - [ ] Recursive link following exhausted
 - [ ] Current best practices verified
 - [ ] Third-party packages researched
 - [ ] Comprehensive `prompt.md` generated
 - [ ] Research sources included
 - [ ] Implementation examples provided
 - [ ] Validation steps defined
 - [ ] **User permission requested** before any implementation
 ---
 ## Key Principles
 🚀 **AUTONOMOUS OPERATION**: Keep going until completely solved. No half-measures.
 🔍 **RESEARCH FIRST**: In Prompt Generator mode, verify everything with current sources.
 🛠️ **RIGHT TOOL FOR JOB**: Choose appropriate technology for each use case.
 ⚡ **FUNCTION + DESIGN**: Build solutions that work beautifully and perform excellently.
 🎯 **USER-FOCUSED**: Every decision serves the end user's needs.
 🔍 **CONTEXT DRIVEN**: Always understand the full picture before changes.
 📊 **PLAN THOROUGHLY**: Measure twice, cut once. Plan carefully, implement systematically.
 ---
 ## System Context
 - **Environment**: VSCode workspace with integrated terminal
 - **Directory**: All paths relative to workspace root or absolute
 - **Projects**: Place new projects in dedicated directories
 - **Tools**: Use `<thinking>` tags before tool calls to analyze and confirm parameters
--- a/docs/README.agents.md
+++ b/docs/README.agents.md
@@ -25,7 +25,6 @@ See [CONTRIBUTING.md](../CONTRIBUTING.md#adding-agents) for guidelines on how to
 | ----- | ----------- | ----------- |
 | [.NET Self Learning Architect](../agents/dotnet-self-learning-architect.agent.md)<br />[![Install in VS Code](https://img.shields.io/badge/VS_Code-Install-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fdotnet-self-learning-architect.agent.md)<br />[![Install in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Install-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fdotnet-self-learning-architect.agent.md) | Senior .NET architect for complex delivery: designs .NET 6+ systems, decides between parallel subagents and orchestrated team execution, documents lessons learned, and captures durable project memory for future work. |  |
 | [.NET Upgrade](../agents/dotnet-upgrade.agent.md)<br />[![Install in VS Code](https://img.shields.io/badge/VS_Code-Install-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fdotnet-upgrade.agent.md)<br />[![Install in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Install-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fdotnet-upgrade.agent.md) | Perform janitorial tasks on C#/.NET code including cleanup, modernization, and tech debt remediation. |  |
 | [4.1 Beast Mode v3.1](../agents/4.1-Beast.agent.md)<br />[![Install in VS Code](https://img.shields.io/badge/VS_Code-Install-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2F4.1-Beast.agent.md)<br />[![Install in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Install-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2F4.1-Beast.agent.md) | GPT 4.1 as a top-notch coding agent. |  |
 | [Accessibility Expert](../agents/accessibility.agent.md)<br />[![Install in VS Code](https://img.shields.io/badge/VS_Code-Install-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Faccessibility.agent.md)<br />[![Install in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Install-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Faccessibility.agent.md) | Expert assistant for web accessibility (WCAG 2.1/2.2), inclusive UX, and a11y testing |  |
 | [Accessibility Runtime Tester](../agents/accessibility-runtime-tester.agent.md)<br />[![Install in VS Code](https://img.shields.io/badge/VS_Code-Install-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Faccessibility-runtime-tester.agent.md)<br />[![Install in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Install-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Faccessibility-runtime-tester.agent.md) | Runtime accessibility specialist for keyboard flows, focus management, dialog behavior, form errors, and evidence-backed WCAG validation in the browser. |  |
 | [ADR Generator](../agents/adr-generator.agent.md)<br />[![Install in VS Code](https://img.shields.io/badge/VS_Code-Install-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fadr-generator.agent.md)<br />[![Install in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Install-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fadr-generator.agent.md) | Expert agent for creating comprehensive Architectural Decision Records (ADRs) with structured formatting optimized for AI consumption and human readability. |  |
@@ -106,7 +105,6 @@ See [CONTRIBUTING.md](../CONTRIBUTING.md#adding-agents) for guidelines on how to
 | [GitHub Actions Expert](../agents/github-actions-expert.agent.md)<br />[![Install in VS Code](https://img.shields.io/badge/VS_Code-Install-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fgithub-actions-expert.agent.md)<br />[![Install in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Install-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fgithub-actions-expert.agent.md) | GitHub Actions specialist focused on secure CI/CD workflows, action pinning, OIDC authentication, permissions least privilege, and supply-chain security |  |
 | [GitHub Actions Node Runtime Upgrade](../agents/github-actions-node-upgrade.agent.md)<br />[![Install in VS Code](https://img.shields.io/badge/VS_Code-Install-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fgithub-actions-node-upgrade.agent.md)<br />[![Install in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Install-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fgithub-actions-node-upgrade.agent.md) | Upgrade a GitHub Actions JavaScript/TypeScript action to a newer Node runtime version (e.g., node20 to node24) with major version bump, CI updates, and full validation |  |
 | [Go MCP Server Development Expert](../agents/go-mcp-expert.agent.md)<br />[![Install in VS Code](https://img.shields.io/badge/VS_Code-Install-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fgo-mcp-expert.agent.md)<br />[![Install in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Install-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fgo-mcp-expert.agent.md) | Expert assistant for building Model Context Protocol (MCP) servers in Go using the official SDK. |  |
 | [GPT 5 Beast Mode](../agents/gpt-5-beast-mode.agent.md)<br />[![Install in VS Code](https://img.shields.io/badge/VS_Code-Install-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fgpt-5-beast-mode.agent.md)<br />[![Install in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Install-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fgpt-5-beast-mode.agent.md) | Beast Mode 2.0: A powerful autonomous agent tuned specifically for GPT-5 that can solve complex problems by using tools, conducting research, and iterating until the problem is fully resolved. |  |
 | [High Level Big Picture Architect (HLBPA)](../agents/hlbpa.agent.md)<br />[![Install in VS Code](https://img.shields.io/badge/VS_Code-Install-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fhlbpa.agent.md)<br />[![Install in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Install-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fhlbpa.agent.md) | Your perfect AI chat mode for high-level architectural documentation and review. Perfect for targeted updates after a story or researching that legacy system when nobody remembers what it's supposed to be doing. |  |
 | [Idea Generator](../agents/simple-app-idea-generator.agent.md)<br />[![Install in VS Code](https://img.shields.io/badge/VS_Code-Install-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fsimple-app-idea-generator.agent.md)<br />[![Install in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Install-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fsimple-app-idea-generator.agent.md) | Brainstorm and develop new application ideas through fun, interactive questioning until ready for specification creation. |  |
 | [Implementation Plan Generation Mode](../agents/implementation-plan.agent.md)<br />[![Install in VS Code](https://img.shields.io/badge/VS_Code-Install-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fimplementation-plan.agent.md)<br />[![Install in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Install-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fimplementation-plan.agent.md) | Generate an implementation plan for new features or refactoring existing code. |  |
@@ -181,7 +179,6 @@ See [CONTRIBUTING.md](../CONTRIBUTING.md#adding-agents) for guidelines on how to
 | [Repo Architect Agent](../agents/repo-architect.agent.md)<br />[![Install in VS Code](https://img.shields.io/badge/VS_Code-Install-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Frepo-architect.agent.md)<br />[![Install in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Install-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Frepo-architect.agent.md) | Bootstraps and validates agentic project structures for GitHub Copilot (VS Code) and OpenCode CLI workflows. Run after `opencode /init` or VS Code Copilot initialization to scaffold proper folder hierarchies, instructions, agents, skills, and prompts. |  |
 | [Ruby MCP Expert](../agents/ruby-mcp-expert.agent.md)<br />[![Install in VS Code](https://img.shields.io/badge/VS_Code-Install-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fruby-mcp-expert.agent.md)<br />[![Install in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Install-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fruby-mcp-expert.agent.md) | Expert assistance for building Model Context Protocol servers in Ruby using the official MCP Ruby SDK gem with Rails integration. |  |
 | [RUG](../agents/rug-orchestrator.agent.md)<br />[![Install in VS Code](https://img.shields.io/badge/VS_Code-Install-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Frug-orchestrator.agent.md)<br />[![Install in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Install-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Frug-orchestrator.agent.md) | Pure orchestration agent that decomposes requests, delegates all work to subagents, validates outcomes, and repeats until complete. |  |
 | [Rust Beast Mode](../agents/rust-gpt-4.1-beast-mode.agent.md)<br />[![Install in VS Code](https://img.shields.io/badge/VS_Code-Install-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Frust-gpt-4.1-beast-mode.agent.md)<br />[![Install in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Install-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Frust-gpt-4.1-beast-mode.agent.md) | Rust GPT-4.1 Coding Beast Mode for VS Code |  |
 | [Rust MCP Expert](../agents/rust-mcp-expert.agent.md)<br />[![Install in VS Code](https://img.shields.io/badge/VS_Code-Install-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Frust-mcp-expert.agent.md)<br />[![Install in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Install-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Frust-mcp-expert.agent.md) | Expert assistant for Rust MCP server development using the rmcp SDK with tokio async runtime |  |
 | [Salesforce Apex & Triggers Development](../agents/salesforce-apex-triggers.agent.md)<br />[![Install in VS Code](https://img.shields.io/badge/VS_Code-Install-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fsalesforce-apex-triggers.agent.md)<br />[![Install in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Install-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fsalesforce-apex-triggers.agent.md) | Implement Salesforce business logic using Apex classes and triggers with production-quality code following Salesforce best practices. |  |
 | [Salesforce Expert Agent](../agents/salesforce-expert.agent.md)<br />[![Install in VS Code](https://img.shields.io/badge/VS_Code-Install-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fsalesforce-expert.agent.md)<br />[![Install in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Install-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fsalesforce-expert.agent.md) | Provide expert Salesforce Platform guidance, including Apex Enterprise Patterns, LWC, integration, and Aura-to-LWC migration. |  |
@@ -222,7 +219,6 @@ See [CONTRIBUTING.md](../CONTRIBUTING.md#adding-agents) for guidelines on how to
 | [Ultimate Transparent Thinking Beast Mode](../agents/Ultimate-Transparent-Thinking-Beast-Mode.agent.md)<br />[![Install in VS Code](https://img.shields.io/badge/VS_Code-Install-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2FUltimate-Transparent-Thinking-Beast-Mode.agent.md)<br />[![Install in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Install-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2FUltimate-Transparent-Thinking-Beast-Mode.agent.md) | Ultimate Transparent Thinking Beast Mode |  |
 | [Universal Janitor](../agents/janitor.agent.md)<br />[![Install in VS Code](https://img.shields.io/badge/VS_Code-Install-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fjanitor.agent.md)<br />[![Install in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Install-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fjanitor.agent.md) | Perform janitorial tasks on any codebase including cleanup, simplification, and tech debt remediation. |  |
 | [Universal PR Comment Addresser](../agents/address-comments.agent.md)<br />[![Install in VS Code](https://img.shields.io/badge/VS_Code-Install-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Faddress-comments.agent.md)<br />[![Install in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Install-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Faddress-comments.agent.md) | Address PR comments |  |
 | [VoidBeast_GPT41Enhanced 1.0   Elite Developer AI Assistant](../agents/voidbeast-gpt41enhanced.agent.md)<br />[![Install in VS Code](https://img.shields.io/badge/VS_Code-Install-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fvoidbeast-gpt41enhanced.agent.md)<br />[![Install in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Install-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fvoidbeast-gpt41enhanced.agent.md) | 4.1 voidBeast_GPT41Enhanced 1.0 : a advanced autonomous developer agent, designed for elite full-stack development with enhanced multi-mode capabilities. This latest evolution features sophisticated mode detection, comprehensive research capabilities, and never-ending problem resolution. Plan/Act/Deep Research/Analyzer/Checkpoints(Memory)/Prompt Generator Modes. |  |
 | [VS Code Insiders Accessibility Tracker](../agents/insiders-a11y-tracker.agent.md)<br />[![Install in VS Code](https://img.shields.io/badge/VS_Code-Install-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Finsiders-a11y-tracker.agent.md)<br />[![Install in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Install-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Finsiders-a11y-tracker.agent.md) | Specialized agent for tracking and analyzing accessibility improvements in VS Code Insiders builds |  |
 | [VSCode Tour Expert](../agents/code-tour.agent.md)<br />[![Install in VS Code](https://img.shields.io/badge/VS_Code-Install-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fcode-tour.agent.md)<br />[![Install in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Install-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fcode-tour.agent.md) | Expert agent for creating and maintaining VSCode CodeTour files with comprehensive schema support and best practices |  |
 | [WG Code Alchemist](../agents/wg-code-alchemist.agent.md)<br />[![Install in VS Code](https://img.shields.io/badge/VS_Code-Install-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fwg-code-alchemist.agent.md)<br />[![Install in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Install-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fwg-code-alchemist.agent.md) | Ask WG Code Alchemist to transform your code with Clean Code principles and SOLID design |  |