Borrowing it
Nothing to install: this file belongs to mir-am/skills-agents-ai-coding. 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/mir-am/skills-agents-ai-coding/main/AGENTS.mdgit clone --depth 1 https://github.com/mir-am/skills-agents-ai-codingWrote 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/mir-am/skills-agents-ai-coding/agents-md)<a href="https://agentmods.dev/instructions/mir-am/skills-agents-ai-coding/agents-md"><img src="https://agentmods.dev/badge/instructions/mir-am/skills-agents-ai-coding/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/mir-am/skills-agents-ai-coding/agents-md"><img src="https://agentmods.dev/badge/instructions/mir-am/skills-agents-ai-coding/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 | $0.01693 | $0.01693 |
| Opus 5.5 | $0.00677 | $0.00677 |
| Sonnet 5.5 | $0.00339 | $0.00339 |
| Haiku 4.5 | $0.00169 | $0.00169 |
Grade A, and why
skills-agents-ai-coding 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 28d 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 — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Project Overview
This is Mir's Agents & Skills for AI Coding Assistants, a collection of reusable Agent Skills and agents for CLI coding assistants, hosted in the opencode-skills repository. Skills are markdown-based instruction sets that teach AI agents specific workflows using the open Agent Skills format. Agents are markdown-based definitions that create specialized AI assistants with custom prompts, tools, and permissions.
Repository Structure
opencode-skills/
skills/ # Skills: one directory per skill, each containing a SKILL.md
changelog-bump-ver/
SKILL.md
gh-copilot-review-read/
SKILL.md
gh-copilot-review/
SKILL.md
gh-copilot-review-resolve/
SKILL.md
gh-cr-submit/
gh-issue/
gh-issue-fix/
gh-pr/
gh-pr-merge/
gh-pr-review/
gh-release/
git-branch/
git-commit/
git-push/
make-changelog/
mir-skills-install/
mir-skills-update/
python-venv/
save-plan/
work-report/
session-note/
agents/ # Agents: flat .md files, one per agent
code-review.md
README.md
AGENTS.md # This file
Skill Anatomy
Each skill is a directory under skills/ containing a SKILL.md file.
-
YAML frontmatter with metadata in the repository source format:
--- name: <skill-name> description: <one-line description> license: MIT metadata: audience: developers workflow: <category> category: <category> --- -
Markdown body with structured sections:
## What I do- Bullet list of capabilities## When to use me- Trigger conditions- Workflow sections with step-by-step instructions
- Code blocks with exact commands to run
- Edge cases and error handling
Agent Anatomy
Each agent is a single .md file in the agents/ directory. The filename (minus .md) becomes the agent name.
- YAML frontmatter with configuration:
--- description: <one-line description> mode: subagent # or "primary" model: <provider/model-id> temperature: <0.0-1.0> tools: write: true/false edit: true/false bash: true/false read: true/false glob: true/false grep: true/false ---
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.
- 28d ago Changed · +4 lines 37165b41ca68
- 2mo ago First seen · 161 lines · 1,693 tokens per session scan A 05899e9a65bc
skills-agents-ai-coding AGENTS.md is an instructions file published in the GitHub repository mir-am/skills-agents-ai-coding (2 stars, last pushed 29d ago), licensed MIT. It adds 1,693 tokens to every session, about $0.0068 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.