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acreadiness-assess

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by github · part of github/awesome-copilot

Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc…

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🧩 One of 7 skills in the github/awesome-copilot package — works on its own, and pairs well with its siblings.

Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc…

Inspect the full instructions your agent will receiveExpand

This is the exact playbook injected into your agent when the skill activates — shown here so you can audit it before installing. You don't need to read it to use the skill.

by github

Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps npx github:microsoft/agentrc… npx skills add https://github.com/github/awesome-copilot --skill acreadiness-assess` Download ZIPGitHub36.2k

/acreadiness-assess — AI-readiness assessment

Use this skill whenever the user asks for an AI-readiness assessment, a readiness check, an audit, or wants to see how AI-ready their repository is.

This skill is the Measure step in AgentRC's Measure → Generate → Maintain loop. The result is a self-contained HTML dashboard the user can open with file:// or commit to the repo.

Steps

Confirm prerequisites. Node 20+ must be on PATH. If unsure, run node --version.

Decide on a policy (optional but encouraged):

  • If the user provided --policy <source>, capture it.

  • Otherwise check agentrc.config.json for a policies array.

  • If neither, run with no policy (built-in defaults).

  • For a primer on policies, suggest the acreadiness-policy skill.

Run the readiness scan in the repo root with structured output:

Copy & paste — that's it
npx -y github:microsoft/agentrc readiness --json [--policy ] [--per-area]

The CommandResult<T> JSON envelope is your input for the next step.

Hand off to the ai-readiness-reporter custom agent to interpret the JSON and produce reports/index.html. The agent renders via the bundled template report-template.html (shipped alongside this skill) so every report has an identical look & feel. The agent:

  • Reads the bundled report-template.html and substitutes placeholders with real data.

  • Inlines all CSS, ships a single static file (works under file://).

  • Renders maturity level, overall score, grade, pass-rate vs threshold.

  • Breaks down all 9 pillars across Repo Health (8) and AI Setup (1) with what it measures , why it matters for AI , current state , and a specific recommendation .

  • Tags every pillar with an AI relevance badge (High / Medium / Low).

  • Surfaces Extras separately (they never affect the score).

  • Shows the Active Policy including any disabled/overridden criteria and thresholds.

  • Produces a Prioritised Remediation Plan (🔴 Fix First / 🟡 Fix Next / 🔵 Plan).

  • Embeds the raw AgentRC JSON for reuse.

Tell the user where the report lives (reports/index.html) and how to open it. Summarise in chat: maturity level, overall score, top three lowest pillars, and the single highest-leverage next action (almost always: run the acreadiness-generate-instructions skill).

Notes

  • AgentRC also has a built-in HTML renderer (--visual / --output report.html) but its output is intentionally generic. This skill produces a tailored, opinionated dashboard via the custom agent — closer to a code review than a metrics dump.

  • For CI gating, recommend agentrc readiness --fail-level <n> (1–5).

  • The skill never modifies repository files other than creating reports/index.html.