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 skills add iradoweck/antigravity-awesome-skills --skill agents-mdgit clone --depth 1 https://github.com/iradoweck/antigravity-awesome-skillsWrote 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/skills/iradoweck/antigravity-awesome-skills/agents-md)<a href="https://agentmods.dev/skills/iradoweck/antigravity-awesome-skills/agents-md"><img src="https://agentmods.dev/badge/skills/iradoweck/antigravity-awesome-skills/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/skills/iradoweck/antigravity-awesome-skills/agents-md"><img src="https://agentmods.dev/badge/skills/iradoweck/antigravity-awesome-skills/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 | $0.00031 | $0.01881 |
| Opus 5.5 | $0.00012 | $0.00752 |
| Sonnet 5.5 | $0.00006 | $0.00376 |
| Haiku 4.5 | $0.00003 | $0.00188 |
Grade A, and why
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 11d 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.
This is a copy
94% identical to agents-md — 265 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.
How it starts
The opening of the file, as written. The whole thing — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Maintain AGENTS.md from repository evidence
Overview
Create or improve agent instructions that help a coding agent change the repository correctly without rediscovering its workflow. Base every repository-specific command, path, and rule on evidence in the current checkout.
Prefer a focused diff over a wholesale rewrite. There is no universal line limit, required section list, symlink layout, or commit-attribution policy; follow the repository's own needs and maintainer intent.
When to Use
- The user asks to create, update, shorten, or audit
AGENTS.md. - A monorepo needs root instructions plus narrower package-level overrides.
- Existing agent instructions contain stale commands, duplicated policy, or unsupported claims.
- The user wants to reconcile
AGENTS.mdwithCLAUDE.md,.github/copilot-instructions.md, or other repository instruction files.
Use @agents-generator instead when the task specifically calls for its
packaged generation modes, assets, or backup workflow. Use this skill when a
maintainer-readable, evidence-first edit is the primary goal.
How It Works
1. Preserve existing intent
Before writing, read every instruction file that applies to the target path,
including existing AGENTS.md files and relevant tool-specific files such as
CLAUDE.md, GEMINI.md, .github/copilot-instructions.md, and
.github/instructions/*.instructions.md.
- Improve an existing
AGENTS.mdin place when possible. - Preserve accurate maintainer-authored rules and repository-specific policy.
- Do not replace another tool's instruction file with a symlink unless the user requests it and repository evidence shows identical content is desired.
- Do not silently choose between conflicting instructions. Follow the higher-priority applicable rule, or ask when the intended policy cannot be established from the repository.
2. Build a bounded evidence map
Inspect only enough of the repository to establish how work is actually done:
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.
- 11d ago Changed · -2 lines 08e8b7c38e14
- 1mo ago Changed · +87 lines · -31 tokens per session bec0ca6a8a3d
- 1mo ago Changed cac321ece63b
- 1mo ago First seen · 131 lines · 62 tokens per session scan A e198718a68c1
agents-md is a skill published in the GitHub repository iradoweck/antigravity-awesome-skills (30 stars, last pushed 5d ago), licensed MIT. It adds 31 tokens to every session and 1,881 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 94% identical to agents-md, differing in 265 lines, and is treated as a copy.
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