Borrowing it
Nothing to install: this file belongs to Uky0Yang/agent-rules-lint. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Uky0Yang/agent-rules-lint/main/AGENTS.mdgit clone --depth 1 https://github.com/Uky0Yang/agent-rules-lintWrote 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/uky0yang/agent-rules-lint/agents-md)<a href="https://agentmods.dev/instructions/uky0yang/agent-rules-lint/agents-md"><img src="https://agentmods.dev/badge/instructions/uky0yang/agent-rules-lint/agents-md/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.
<a href="https://agentmods.dev/instructions/uky0yang/agent-rules-lint/agents-md"><img src="https://agentmods.dev/badge/instructions/uky0yang/agent-rules-lint/agents-md.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00165 | $0.00165 |
| Opus 5.5 | $0.00066 | $0.00066 |
| Sonnet 5.5 | $0.00033 | $0.00033 |
| Haiku 4.5 | $0.00016 | $0.00016 |
Grade A, and why
agent-rules-lint 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 2mo 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
Agent Instructions
Purpose
Maintain agent-rules-lint, a dependency-free Python CLI for linting AI agent instruction files.
Scope
These instructions apply to code, tests, documentation, and GitHub workflow files in this repository.
Commands
Run the standard checks before publishing:
python -m unittest discover -s tests
python -m agent_rules_lint .
Safety
- Do not add network calls to the default lint path.
- Do not add model calls to the default lint path.
- Do not commit API keys, access tokens, cookies, private credentials, or generated build output.
- Keep checks deterministic so they are safe for CI.
Style
- Prefer standard-library Python.
- Keep rule messages short and actionable.
- Add tests when changing lint behavior.
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.
- 2mo ago First seen · 32 lines · 165 tokens per session scan A 50cd3beacc65
agent-rules-lint AGENTS.md is an instructions file published in the GitHub repository Uky0Yang/agent-rules-lint (1 stars, last pushed yesterday), licensed MIT. It adds 165 tokens to every session, about $0.0007 per session on Opus 5.5. 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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