Borrowing it
Nothing to install: this file belongs to iamBrzDev/enterprise-agent-skills. 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/iamBrzDev/enterprise-agent-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/iamBrzDev/enterprise-agent-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/instructions/iambrzdev/enterprise-agent-skills/agents-md)<a href="https://agentmods.dev/instructions/iambrzdev/enterprise-agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/iambrzdev/enterprise-agent-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/instructions/iambrzdev/enterprise-agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/iambrzdev/enterprise-agent-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 | $0.00614 | $0.00614 |
| Opus 5.5 | $0.00246 | $0.00246 |
| Sonnet 5.5 | $0.00123 | $0.00123 |
| Haiku 4.5 | $0.00061 | $0.00061 |
Grade A, and why
enterprise-agent-skills 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 1mo 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 — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Instructions for AI agents contributing to enterprise-agent-skills — a repository of production-grade Agent Skills for the enterprise backend stack (.NET, Laravel/PHP, Java Spring Boot, SQL Server, Azure DevOps).
This file is the cross-agent entry point. CLAUDE.md in the repository root
holds the full detail — architecture rationale, the SKILL.md template, and the
planned-skill backlog. Read it before making a non-trivial change.
Layout
skills/<skill-name>/
├── SKILL.md ← required; the skill itself
└── references/ ← optional; loaded on demand, only when SKILL.md would
otherwise exceed 500 lines
.github/scripts/ ← validators, runnable locally
.github/workflows/ ← CI that runs them on every push and pull request
Hard rules
- Directory name must equal the frontmatter
name. Exactly, kebab-case. - SKILL.md stays under 500 lines. Move depth into
references/. descriptionstays under 1024 characters. It is the activation trigger, so every keyword earns its place.- Every
references/*.mdyou declare must exist, and every file inreferences/must be declared. Dead pointers are worse than no pointer. - Every skill needs a "When to activate" section and a "Definition of Done".
- English only — SKILL.md, references, code comments, and repository docs.
- Real code, never pseudocode. Show the actual structure a developer copies.
- No secrets, tokens, or credentials anywhere, including in examples.
- Never verify a version from memory. Check the source — the vendor's release feed, the registry, the API — and pin what you confirmed.
- Never instruct an agent to skip tests, disable a linter, or bypass a gate.
Verify before you commit
bash .github/scripts/validate-skills.sh
python .github/scripts/validate-frontmatter.py
These enforce rules 1–6 and 8 mechanically. CI runs the same two checks, and a red check blocks the merge. Run them locally first — it is faster than a round trip through GitHub.
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.
- 1mo ago First seen · 68 lines · 614 tokens per session scan A c46521ba8b8d
enterprise-agent-skills AGENTS.md is an instructions file published in the GitHub repository iamBrzDev/enterprise-agent-skills (5 stars, last pushed 1mo ago), licensed MIT. It adds 614 tokens to every session, about $0.0025 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 2026-09-09.
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