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/alexanderkorchyk/agent-ready-cli/agents-mdgit clone --depth 1 https://github.com/AlexanderKorchyk/agent-ready-cliWrote 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/alexanderkorchyk/agent-ready-cli/agents-md)<a href="https://agentmods.dev/instructions/alexanderkorchyk/agent-ready-cli/agents-md"><img src="https://agentmods.dev/badge/instructions/alexanderkorchyk/agent-ready-cli/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 | $0.00363 | $0.00363 |
| Opus 5 | $0.00181 | $0.00181 |
| Sonnet 5 | $0.00073 | $0.00073 |
| Haiku 4.5 | $0.00036 | $0.00036 |
Grade A, and why
agent-ready-cli 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 3d 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.
What it actually says
AGENTS.md
This file gives AI coding agents the project context and working rules for
agent-ready-cli.
Project Overview
agent-ready-cli is a Python CLI that scans a local repository and generates a
useful AGENTS.md file for AI development tools.
Development Commands
- Install locally:
python -m pip install -e ".[dev]" - Run tests:
python -m pytest - Run lint:
python -m ruff check . - Run formatter:
python -m ruff format . - Run CLI:
python -m agent_ready_cli --help
Code Style
- Target Python 3.10+.
- Use type annotations for public functions and dataclasses.
- Keep modules focused and small.
- Follow PEP 8 and Ruff defaults.
- Prefer simple standard-library parsing unless a project dependency already provides a safer abstraction.
Testing Rules
- Add or update tests for behavior changes.
- Use
tmp_pathfor filesystem tests. - Avoid tests that depend on network access or a developer's machine state.
- Keep generated Markdown stable so it is easy to snapshot with assertions.
Repository Map
src/agent_ready_cli/: package source code.tests/: unit tests and CLI tests..github/workflows/: CI and Codex review automation.
Agent Instructions
- Do not overwrite an existing
AGENTS.mdin a target repo unless the user passes an explicit force option. - Keep generated output deterministic.
- Do not introduce new runtime dependencies unless they materially improve CLI usability or parsing correctness.
- Before finishing code changes, run
python -m pytestandpython -m ruff check ..
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.
- 3d ago First seen · 50 lines · 363 tokens per session scan A 4179f30c4e51
agent-ready-cli AGENTS.md is an instructions file published in the GitHub repository AlexanderKorchyk/agent-ready-cli (2 stars, last pushed 3mo ago), licensed MIT. It adds 363 tokens to every session, about $0.0018 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 2026-08-31.
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