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awesome-copilot/plugins/acreadiness-cockpit/README.md
mvanderbend-msoft ebd22496dd 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>
2026-05-04 14:11:14 +10:00

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acreadiness-cockpit

Drive Microsoft AgentRC from Copilot chat. Frames every interaction inside AgentRC's Measure → Generate → Maintain loop.

What's in the plugin

Custom agent

Agent What it does
@ai-readiness-reporter Runs agentrc readiness --json, interprets every result against the 9-pillar / 5-level model, then renders a self-contained reports/index.html from a fixed HTML/CSS template so every user gets an identically styled dashboard. Honours policies (disabled criteria, overrides, pass-rate thresholds) and surfaces extras separately.

Skills

Skill Step What it does
/acreadiness-assess Measure Runs the readiness scan and hands off to @ai-readiness-reporter to produce the static HTML dashboard. Accepts --policy <path-or-pkg> and --per-area.
/acreadiness-generate-instructions Generate Wraps agentrc instructions. Default output is .github/copilot-instructions.md (Copilot-native). Asks flat vs nested. For monorepos, also emits per-area .github/instructions/<area>.instructions.md files with applyTo globs.
/acreadiness-policy Maintain Pick, scaffold, or apply an AgentRC policy. Knows the schema (criteria.disable, criteria.override, extras, thresholds), the impact-weight table, and CI gating with --fail-level.

What gets produced

reports/index.html — a single self-contained HTML file rendered from a fixed template (skills/acreadiness-assess/report-template.html) so every user gets an identical look & feel. It contains:

  • Maturity badge (L1L5) and overall score / grade (AF)
  • Pass-rate vs threshold (when a policy sets one)
  • Maturity progression table
  • Active policy summary (disabled/overridden criteria, threshold)
  • Repo Health breakdown (8 pillars), each with an AI relevance badge (High/Medium/Low), what it measures, why it matters for AI, current state, recommendation
  • AI Setup breakdown (AI Tooling pillar)
  • Extras (informational only — agents-doc, pr-template, pre-commit, architecture-doc)
  • Prioritised Remediation Plan (🔴 Fix First / 🟡 Fix Next / 🔵 Plan)
  • Embedded raw AgentRC JSON for reuse

Prerequisites

  • Node.js 20+ on PATH (required by AgentRC)
  • VS Code with Copilot agent plugins enabled

Usage

In Copilot chat:

/acreadiness-assess                                 # measure → reports/index.html
/acreadiness-assess --policy ./policies/strict.json
/acreadiness-generate-instructions                  # asks flat or nested
/acreadiness-generate-instructions --strategy flat
/acreadiness-generate-instructions --strategy nested
/acreadiness-generate-instructions --areas          # per-area applyTo files
/acreadiness-policy new my-policy
@ai-readiness-reporter

Flat vs nested instructions

Flat (default) Nested
Hub file .github/copilot-instructions.md .github/copilot-instructions.md
Detail files .github/instructions/<topic>.instructions.md (each with applyTo glob)
Best for Small / medium repos, single stack Large or multi-stack repos, monorepos
Token cost Whole file always loads VS Code only loads topics whose applyTo matches

When the main output is .github/copilot-instructions.md, the skill rewrites AgentRC's nested output to VS Code's native .instructions.md layout (which Copilot auto-discovers). With --output AGENTS.md, nested keeps AgentRC's default .agents/ layout for agent-agnostic tooling.

Concepts (cheat sheet)

  • Maturity: L1 Functional → L2 Documented → L3 Standardized → L4 Optimized → L5 Autonomous
  • Pillars (Repo Health): Style · Build · Testing · Docs · Dev Environment · Code Quality · Observability · Security
  • Pillars (AI Setup): AI Tooling
  • Impact weights: critical 5 · high 4 · medium 3 · low 2 · info 0
  • Grades: A ≥ 0.9 · B ≥ 0.8 · C ≥ 0.7 · D ≥ 0.6 · F < 0.6

License

MIT