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/rolandbrecht/agent-skills/agents-mdgit clone --depth 1 https://github.com/rolandbrecht/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/rolandbrecht/agent-skills/agents-md)<a href="https://agentmods.dev/instructions/rolandbrecht/agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/rolandbrecht/agent-skills/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 5.1 | $0.00542 | $0.00542 |
| Opus 5 | $0.00271 | $0.00271 |
| Sonnet 5 | $0.00108 | $0.00108 |
| Haiku 4.5 | $0.00054 | $0.00054 |
Grade A, and why
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 5d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- agent-skills CLAUDE.md — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 30 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Instructions
This project uses the agent-skills repository to enforce strict coding constraints and avoid common LLM pitfalls.
As an AI coding agent, you MUST follow these directives when working in this repository:
1. Architectural Changes & Refactoring
Trigger: ANY time you need to search for code structure, refactor symbols, analyze impact, find dead code, or trace dependencies. (e.g., "find all calls to fetch", "rename oldApi to newApi safely").
Skill to use: ast-code-graph
Directive: You MUST NOT use basic text search (grep) or guess at references for structural modifications. You must use this skill's ast-grep CLI instructions to parse the AST semantically, generate JSON outputs, and safely perform refactoring or impact analysis.
2. Debugging & Test Failures
Trigger: AUTOMATICALLY anytime you encounter a stack trace, test failure, production bug, or unexpected behavior.
Skill to use: systematic-debugging
Directive: You MUST NOT guess the solution or propose random fixes. You are constrained to the "No fixes without root cause" protocol. You must trace the error boundary, heavily utilize grep_search to understand context, and prove the failure with a reproduction script before any code modification. If 3 fixes fail, you MUST escalate and stop modifying code.
3. Structural Code Refactoring
Trigger: ANY time you need to do bulk structural replacements across files — renaming function arguments at call sites, migrating deprecated API call shapes, rewriting patterns that regex/sed would botch (nested parens, multiline, string boundary issues), extracting code locations with file+line output. Also trigger for Python 2 → 3 migrations.
Skill to use: structural-refactor
Directive: Do NOT use sed or raw regex for structural code changes. Use comby for cross-language pattern replacement, 2to3 for Python 2 → 3 migrations, and pyupgrade to modernize Python 3 idioms. Always run a preview step (-diff or dry-run) before applying changes in-place.
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.
- 5d ago First seen · 30 lines · 542 tokens per session scan A d47649c369a2
agent-skills AGENTS.md is an instructions file published in the GitHub repository rolandbrecht/agent-skills (4 stars, last pushed 23d ago), licensed MIT. It adds 542 tokens to every session, about $0.0027 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.
Other instructions, from other repositories
gangsta AGENTS.md
Instructions for kucherenko/gangsta, covering contributing to gangsta, what this is, what will not be accepted, skill changes and the laws apply to contributors too.
gangsta GEMINI.md
Instructions for kucherenko/gangsta, a project described as: AI agentic skills framework for spec-driven development, built on the organizational model of mafia.
bundl-cli CLAUDE.md
Instructions for Bundl-AI/bundl-cli, covering agent operating instructions, role, hard constraints and corpus info.
teamclaw AGENTS.md
Instructions for teamclawai/teamclaw, covering teamclaw - agent development guidelines, project overview, quick start for contributors, prerequisites and setup.
symbi-gemini-cli GEMINI.md
Instructions for ThirdKeyAI/symbi-gemini-cli, covering symbiont governance context, key concepts, available mcp tools (via symbi server), file conventions and dual-mode operation.
ai-coding-rules CLAUDE.md
Claude Code instructions for Luxvil/ai-coding-rules, covering claude.md – project memory, 🎯 repository purpose, 🛠️ tech stack, 📦 commands and 📁 project structure.