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.
npx agentmods add instructions/johnpapa/ai-ready/agents-mdgit clone --depth 1 https://github.com/johnpapa/ai-readyWrote 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.
[](https://agentmods.dev/instructions/johnpapa/ai-ready/agents-md)<a href="https://agentmods.dev/instructions/johnpapa/ai-ready/agents-md"><img src="https://agentmods.dev/badge/instructions/johnpapa/ai-ready/agents-md.svg" alt="Measured on agentmods" height="20"></a>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 | $0.01143 | $0.01143 |
| Opus 5 | $0.00571 | $0.00571 |
| Sonnet 5 | $0.00229 | $0.00229 |
| Haiku 4.5 | $0.00114 | $0.00114 |
Grade A, and why
ai-ready AGENTS.md 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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI-Ready Repo — Agent Guide
This is a Copilot CLI skill — not a traditional application. It contains no source code to build or test. The deliverable is a skill definition (SKILL.md) that teaches Copilot CLI how to make any repository AI-ready.
Repository Structure
ai-ready/
├── .github/
│ ├── copilot-instructions.md # Conventions for contributing to THIS repo
│ ├── plugin/
│ │ └── plugin.json # Plugin manifest for copilot plugin install
│ ├── workflows/copilot-setup-steps.yml # Cloud agent setup (checkout only — no build)
│ ├── dependabot.yml # GitHub Actions dependency updates
│ ├── workflows/ci.yml # PR validation (skill integrity checks)
│ ├── ISSUE_TEMPLATE/ # Bug reports, feature requests, new skill ideas
│ ├── PULL_REQUEST_TEMPLATE.md # PR checklist (integrity checks, test evidence)
│ └── CODEOWNERS # @johnpapa owns all paths
├── skills/
│ └── ai-ready/
│ ├── SKILL.md # The 12-step skill procedure (<500 lines)
│ └── references/ # Detailed reference material (loaded on demand)
│ ├── github-discovery.md # GitHub API tables, PR mining, health gaps
│ ├── detection-tables.md # Manifest detection, course/monorepo heuristics
│ ├── report-template.md # Report format, HTML spec, badge, PR flow
│ └── training-repos.md # Repos used to validate skill heuristics
├── docs/
│ └── how-it-works.md # Detailed explanation of the 3 mechanisms + 12 assets
├── examples/
│ ├── sample-report-peacock.html # Sample HTML report (GitHub Pages)
│ └── sample-report-peacock.md # Sample markdown report
├── images/ # Screenshots and visual assets
├── .vscode/
│ └── settings.json # Editor settings
├── AGENTS.md # This file
├── CHANGELOG.md # Version history
├── README.md # Project overview, quick start, what gets generated
├── SECURITY.md # Vulnerability reporting policy
└── LICENSE # MIT
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.
- 4d ago First seen · 102 lines · 1,143 tokens per session scan A 9ce7960b9c63
ai-ready AGENTS.md is an instructions file published in the GitHub repository johnpapa/ai-ready (123 stars, last pushed 1mo ago), licensed MIT. It adds 1,143 tokens to every session, about $0.0057 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
skill-recorder copilot-instructions.md
Instructions for microsoft/skill-recorder, covering repository instructions for coding agents and pull requests target the active release branch, not main.
copilotd copilot-instructions.md
Instructions for DamianEdwards/copilotd, covering copilot instructions for copilotd, build & run, build, run from source (auto-builds and passes all args through) and architecture.
DPlex copilot-instructions.md
Copilot instructions for Ron537/DPlex, covering dplex — copilot instructions, build & run, architecture, process boundaries and provider system (ai tool abstraction).
spec-kit-copilot AGENTS.md
Instructions for github/spec-kit-copilot, covering what this repository is, core skills plugin, core decisions (do not silently undo) and when revving the core skills plugin.
claude-plugins CLAUDE.md
Instructions for peterblazejewicz/claude-plugins, covering claude.md, repository overview, plugin architecture, command files and plugin: avalonia-dev.
oh-my-copilot AGENTS.md
AGENTS.md instructions for RobinNorberg/oh-my-copilot, covering oh-my-copilot - intelligent multi-agent orchestration, working agreements, setup and review guidelines.