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

# acreadiness-assess

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

# acreadiness-assessby 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 ZIPGitHub

## /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:

```
`npx -y github:microsoft/agentrc readiness --json [--policy <source>] [--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`.

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**Source**: https://github.com/github/awesome-copilot/tree/HEAD/skills/acreadiness-assess
**Author**: github
**Discovered via**: mcpservers.org