Add eyeball plugin: document analysis with inline source screenshots

Eyeball generates Word documents where every factual claim includes a
highlighted screenshot from the source material. Supports PDFs, Word
docs, and web URLs. Designed for verifying AI-generated document
analysis against the original source.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

docs/README.plugins.md

@@ -41,6 +41,7 @@ See [CONTRIBUTING.md](../CONTRIBUTING.md#adding-plugins) for guidelines on how t
 | [devops-oncall](../plugins/devops-oncall/README.md) | A focused set of prompts, instructions, and a chat mode to help triage incidents and respond quickly with DevOps tools and Azure resources. | 3 items | devops, incident-response, oncall, azure |
 | [doublecheck](../plugins/doublecheck/README.md) | Three-layer verification pipeline for AI output. Extracts claims, finds sources, and flags hallucination risks so humans can verify before acting. | 2 items | verification, hallucination, fact-check, source-citation, trust, safety |
 | [edge-ai-tasks](../plugins/edge-ai-tasks/README.md) | Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai | 2 items | architecture, planning, research, tasks, implementation |
+| [eyeball](../plugins/eyeball/README.md) | Document analysis with inline source screenshots. When you ask Copilot to analyze a document, Eyeball generates a Word doc where every factual claim includes a highlighted screenshot from the source material so you can verify it with your own eyes. | 1 items | document-analysis, citation-verification, screenshot, contracts, legal, trust, visual-verification |
 | [fastah-ip-geo-tools](../plugins/fastah-ip-geo-tools/README.md) | This plugin is for network operations engineers who wish to tune and publish IP geolocation feeds in RFC 8805 format. It consists of an AI Skill and an associated MCP server that geocodes geolocation place names to real cities for accuracy. | 1 items | geofeed, ip-geolocation, rfc-8805, rfc-9632, network-operations, isp, cloud, hosting, ixp |
 | [flowstudio-power-automate](../plugins/flowstudio-power-automate/README.md) | Complete toolkit for managing Power Automate cloud flows via the FlowStudio MCP server. Includes skills for connecting to the MCP server, debugging failed flow runs, and building/deploying flows from natural language. | 3 items | power-automate, power-platform, flowstudio, mcp, model-context-protocol, cloud-flows, workflow-automation |
 | [frontend-web-dev](../plugins/frontend-web-dev/README.md) | Essential prompts, instructions, and chat modes for modern frontend web development including React, Angular, Vue, TypeScript, and CSS frameworks. | 4 items | frontend, web, react, typescript, javascript, css, html, angular, vue |

docs/README.skills.md

@@ -131,6 +131,7 @@ See [CONTRIBUTING.md](../CONTRIBUTING.md#adding-skills) for guidelines on how to
 | [entra-agent-user](../skills/entra-agent-user/SKILL.md) | Create Agent Users in Microsoft Entra ID from Agent Identities, enabling AI agents to act as digital workers with user identity capabilities in Microsoft 365 and Azure environments. | None |
 | [eval-driven-dev](../skills/eval-driven-dev/SKILL.md) | Set up eval-based QA for Python LLM applications: instrument the app, build golden datasets, write and run eval tests, and iterate on failures. ALWAYS USE THIS SKILL when the user asks to set up QA, add tests, add evals, evaluate, benchmark, fix wrong behaviors, improve quality, or do quality assurance for any Python project that calls an LLM model. | `references/dataset-generation.md`<br />`references/eval-tests.md`<br />`references/instrumentation.md`<br />`references/investigation.md`<br />`references/pixie-api.md`<br />`references/run-harness-patterns.md`<br />`references/understanding-app.md` |
 | [excalidraw-diagram-generator](../skills/excalidraw-diagram-generator/SKILL.md) | Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw. | `references/element-types.md`<br />`references/excalidraw-schema.md`<br />`scripts/.gitignore`<br />`scripts/README.md`<br />`scripts/add-arrow.py`<br />`scripts/add-icon-to-diagram.py`<br />`scripts/split-excalidraw-library.py`<br />`templates` |
+| [eyeball](../skills/eyeball/SKILL.md) | Document analysis with inline source screenshots. When you ask Copilot to analyze a document, Eyeball generates a Word doc where every factual claim includes a highlighted screenshot from the source material so you can verify it with your own eyes. | `tools` |
 | [fabric-lakehouse](../skills/fabric-lakehouse/SKILL.md) | Use this skill to get context about Fabric Lakehouse and its features for software systems and AI-powered functions. It offers descriptions of Lakehouse data components, organization with schemas and shortcuts, access control, and code examples. This skill supports users in designing, building, and optimizing Lakehouse solutions using best practices. | `references/getdata.md`<br />`references/pyspark.md` |
 | [fedora-linux-triage](../skills/fedora-linux-triage/SKILL.md) | Triage and resolve Fedora issues with dnf, systemd, and SELinux-aware guidance. | None |
 | [finalize-agent-prompt](../skills/finalize-agent-prompt/SKILL.md) | Finalize prompt file using the role of an AI agent to polish the prompt for the end user. | None |