Borrowing it
Nothing to install: this file belongs to KunanonJ/ai-skills-hub. 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/KunanonJ/ai-skills-hub/main/AGENTS.mdgit clone --depth 1 https://github.com/KunanonJ/ai-skills-hubWrote 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/kunanonj/ai-skills-hub/agents-md)<a href="https://agentmods.dev/instructions/kunanonj/ai-skills-hub/agents-md"><img src="https://agentmods.dev/badge/instructions/kunanonj/ai-skills-hub/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/kunanonj/ai-skills-hub/agents-md"><img src="https://agentmods.dev/badge/instructions/kunanonj/ai-skills-hub/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 | $0.00262 | $0.00262 |
| Opus 5 | $0.00131 | $0.00131 |
| Sonnet 5 | $0.00052 | $0.00052 |
| Haiku 4.5 | $0.00026 | $0.00026 |
Grade A, and why
ai-skills-hub 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 6d 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.
What it actually says
Learned User Preferences
- Only create git commits when explicitly requested.
- Uses Söhne font in Cursor (editor, integrated terminal, debug console), not Test Söhne.
- Prefix shell commands with
rtkfor Headroom token savings when safe; use raw commands only for debugging. - Configure MCP servers globally in
~/.cursor/mcp.json; disable brokenplugin-*duplicates in Settings → Tools & MCP and keep working user-defined entries. - Reload Cursor (Developer: Reload Window) to pick up MCP and skills changes; full quit is rarely needed.
Learned Workspace Facts
- Canonical GitHub repo is
https://github.com/KunanonJ/ai-skills-hub; local workspace folder isclaude-skills-hub-lean. - Lean corpus ships exactly 100 skills; validate with
python -m app.skill_quality validate-lean. - Run tests from
.venvwithpython -m pytest. - Cursor global skills install:
npx skills add KunanonJ/ai-skills-hub -g -a cursor -s '*' --copy -y. - Full historical corpus is preserved on branch/tag
archive/full-corpus-fa85915. - Project-level skill mirror lives at
.agents/skills/.
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.
- 6d ago First seen · 17 lines · 262 tokens per session scan A 0e6da182c992
ai-skills-hub AGENTS.md is an instructions file published in the GitHub repository KunanonJ/ai-skills-hub (5 stars, last pushed 1mo ago), licensed MIT. It adds 262 tokens to every session, about $0.0013 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 2026-09-03.
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