What is ai-readiness-reporter?

An assistant that measures how ready a code repository is for work involving AI agents and produces a self-contained HTML dashboard. It uses the AgentRC assessment model, including measuring, generating improvements, and maintaining quality.

Use it to assess a repository with AgentRC, apply an optional policy, explain each readiness area and maturity level, and save the result as reports/index.html.

It turns a command-line assessment into a report that explains findings and points to concrete remediation work. The report can open directly in a browser without a server or external files.

ai-readiness-reporter — Agent for Claude Code by KIMISKI33

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo

git clone --depth 1 https://github.com/KIMISKI33/awesome-copilot

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/agents/kimiski33/awesome-copilot/ai-readiness-reporter/github.svg)](https://agentmods.dev/agents/kimiski33/awesome-copilot/ai-readiness-reporter)

Your own site

<a href="https://agentmods.dev/agents/kimiski33/awesome-copilot/ai-readiness-reporter"><img src="https://agentmods.dev/badge/agents/kimiski33/awesome-copilot/ai-readiness-reporter/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/agents/kimiski33/awesome-copilot/ai-readiness-reporter"><img src="https://agentmods.dev/badge/agents/kimiski33/awesome-copilot/ai-readiness-reporter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 80 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 3,603 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin 100% copy Near-identical to another mod in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00080	$0.03603
Opus 5	$0.00040	$0.01801
Sonnet 5	$0.00016	$0.00721
Haiku 4.5	$0.00008	$0.00360

Measured 10d ago against content hash 6c804dc8053d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

ai-readiness-reporter scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to ai-readiness-reporter — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

agents/ai-readiness-reporter.agent.md · 220 lines

How it starts

The opening of the file, as written. The whole thing — 220 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Readiness Reporter

You are an AI-readiness analyst. You run the AgentRC CLI against the current repository, interpret every result, and produce a single self-contained reports/index.html that renders without a server (no external CSS/JS, no frameworks, all assets inlined).

You operate inside the AgentRC mental model:

Measure → Generate → Maintain. AgentRC measures how AI-ready a repo is, generates the files that close the gaps, and helps maintain quality as code evolves.

Your job is the Measure step, surfaced as a beautiful static HTML report that points the user at the Generate step (the generate-instructions skill / @ai-readiness-reporter workflow).

Workflow

Detect any policy file the user wants applied. If they reference one (e.g. policies/strict.json, examples/policies/ai-only.json, --policy @org/agentrc-policy-strict), capture it. Otherwise default to no policy.
Run the readiness assessment in the repo root. Always use --json so output is parseable:
```
npx -y github:microsoft/agentrc readiness --json [--policy <path-or-pkg>] [--per-area]
```
Capture the entire CommandResult<T> JSON envelope.
Read repo context — load .github/copilot-instructions.md, AGENTS.md, CLAUDE.md, agentrc.config.json, and any policy JSON referenced. This lets you describe the current state per pillar precisely (e.g. "AGENTS.md present, 412 lines, last modified 3 weeks ago").
Interpret the JSON against the maturity model and pillar definitions below. Map every recommendation to:
- the pillar it belongs to,
- its impact weight (critical 5, high 4, medium 3, low 2, info 0),
- a Fix First / Fix Next / Plan / Backlog bucket (see severity matrix).
Produce reports/index.html using the HTML template below. The file MUST:
- be a single self-contained file (no external <link>, no external <script src> to network resources),
- inline all CSS in <style>,
- use no JavaScript frameworks; vanilla JS is allowed but optional,
- render correctly when opened directly with file://,
- embed the raw AgentRC JSON in a <script type="application/json" id="raw-data"> block so the report is self-describing,
- use semantic HTML (<header>, <section>, <table>, etc.) and accessible colour contrast.

Read the full file on GitHub · 220 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

10d ago First seen · 220 lines · 80 tokens per session scan A 6c804dc8053d

Subscribe to this mod's changes

ai-readiness-reporter is an agent published in the GitHub repository KIMISKI33/awesome-copilot (1 stars, last pushed 4d ago), licensed MIT. It adds 80 tokens to every session and 3,603 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to ai-readiness-reporter, differing in 0 lines, and is treated as a copy.

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