AAS Core is a local control plane for coding agents that lets them search a large catalogue of skills, choose a stack, validate it, and create a reproducible plan. It is used to assemble and review agent workflows through its CLI, local MCP server, catalogue, plugins, and Workbench. The catalogue add-ons provide the skills, plugins, bundles, and workflows that AAS Core helps agents select and validate.
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 sickn33/agentic-awesome-skills --skill ai-mdgit clone --depth 1 https://github.com/sickn33/agentic-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/sickn33/agentic-awesome-skills/ai-md)<a href="https://agentmods.dev/skills/sickn33/agentic-awesome-skills/ai-md"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/ai-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/sickn33/agentic-awesome-skills/ai-md"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/ai-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00033 | $0.00267 |
| Opus 5 | $0.00016 | $0.00133 |
| Sonnet 5 | $0.00007 | $0.00053 |
| Haiku 4.5 | $0.00003 | $0.00027 |
Grade A, and why
ai-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 4d 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
8 near-identical copies found in the catalogue:
- ai-md — 100% identical, 506 lines differ
- ai-md — 100% identical, 506 lines differ
- ai-md — 100% identical, 506 lines differ
- ai-md — 100% identical, 506 lines differ
- ai-md — 100% identical, 506 lines differ
- ai-md — 100% identical, 506 lines differ
- ai-md — 100% identical, 506 lines differ
- ai-md — 100% identical, 506 lines differ
What it actually says
AI.MD v4 — The Complete AI-Native Conversion System
Detailed Guide
Read the detailed guide before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.
When to Use This Skill
- Use when your CLAUDE.md is long but AI still ignores your rules
- Use when token usage is too high from verbose system instructions
- Use when you want to optimize any LLM system prompt for compliance
- Use when migrating rules between AI tools (Claude, Codex, Gemini, Grok)
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 4d ago Changed · -498 lines scan B → A 93aadddf2ab2
- 6d ago First seen · 524 lines · 33 tokens per session scan B b322fcd60bf7
ai-md is a skill published in the GitHub repository sickn33/agentic-awesome-skills (46,230 stars, last pushed 2d ago), licensed MIT. It adds 33 tokens to every session and 267 once invoked, about $0.0002 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 2026-09-05.
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