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Add acreadiness-cockpit plugin (AgentRC measure -> generate -> maintain) 🤖🤖🤖 (#1593)
* Add acreadiness-cockpit plugin
Adds a new plugin that drives Microsoft AgentRC from Copilot chat,
framing every interaction inside AgentRC's Measure -> Generate ->
Maintain loop.
Custom agent (agents/ai-readiness-reporter.agent.md):
Runs `agentrc readiness --json`, interprets every result against
the 9-pillar / 5-level maturity model, then renders a self-contained
reports/index.html from a fixed HTML/CSS template (bundled with the
acreadiness-assess skill) so every user gets an identically styled
dashboard. Honours policies (disabled criteria, overrides, pass-rate
thresholds) and surfaces extras separately.
Skills:
- acreadiness-assess: Measure step. Wraps `agentrc readiness --json`
and hands off to the @ai-readiness-reporter agent. Bundles the
canonical report-template.html.
- acreadiness-generate-instructions: Generate step. Wraps
`agentrc instructions`. Defaults to .github/copilot-instructions.md
(Copilot-native). Asks flat vs nested. For monorepos, emits per-area
.github/instructions/<area>.instructions.md files with applyTo
globs taken from agentrc.config.json.
- acreadiness-policy: Maintain step. Helps pick, scaffold, or apply an
AgentRC policy (criteria.disable, criteria.override, extras,
thresholds) and wire it into CI via --fail-level.
Plugin (plugins/acreadiness-cockpit/):
Declarative plugin.json referencing the agent and three skills.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
* Address PR review feedback
- Align documented slash-command names with plugin manifest:
/acreadiness-assess, /acreadiness-generate-instructions,
/acreadiness-policy (was /assess, /generate-instructions, /policy
inside SKILL bodies and argument-hints).
- Move the literal % from the report template into the substituted
values for {{passRate}} and {{threshold}} so an N/A value of '—'
no longer renders as '—%'. Updated the agent placeholder contract
accordingly.
- Point the report footer at the canonical plugin folder under
github/awesome-copilot instead of the personal source fork.
- Add explicit HTML-escaping rules to the agent: HTML-escape every
{{placeholder}} substitution, and replace </script with <\/script
inside the embedded JSON block so untrusted repo content cannot
break the markup or inject scripts.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
---------
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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@@ -25,6 +25,7 @@ See [CONTRIBUTING.md](../CONTRIBUTING.md#adding-plugins) for guidelines on how t
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| Name | Description | Items | Tags |
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| ---- | ----------- | ----- | ---- |
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| [acreadiness-cockpit](../plugins/acreadiness-cockpit/README.md) | Drive Microsoft AgentRC from Copilot chat: assess AI readiness, generate Copilot instructions (flat or nested with applyTo globs for monorepos), and manage policies. Produces a self-contained static HTML dashboard at reports/index.html. | 4 items | agentrc, ai-readiness, copilot-instructions, readiness-report, monorepo, policy, dashboard |
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| [ai-team-orchestration](../plugins/ai-team-orchestration/README.md) | Bootstrap and run a multi-agent AI development team with named roles (Producer, Dev Team, QA). Sprint planning, brainstorm prompts with distinct agent voices, cross-chat context survival, and parallel team workflows. Based on a proven template that shipped a 30-game app in 5 days with zero human-written code. | 4 items | ai-team, multi-agent, sprint-planning, brainstorm, project-management, orchestration, developer-workflow |
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| [arize-ax](../plugins/arize-ax/README.md) | Arize AX platform skills for LLM observability, evaluation, and optimization. Includes trace export, instrumentation, datasets, experiments, evaluators, AI provider integrations, annotations, prompt optimization, and deep linking to the Arize UI. | 9 items | arize, llm, observability, tracing, evaluation, instrumentation, datasets, experiments, prompt-optimization |
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| [automate-this](../plugins/automate-this/README.md) | Record your screen doing a manual process, drop the video on your Desktop, and let Copilot CLI analyze it frame-by-frame to build working automation scripts. Supports narrated recordings with audio transcription. | 1 items | automation, screen-recording, workflow, video-analysis, process-automation, scripting, productivity, copilot-cli |
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