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.
git clone --depth 1 https://github.com/vahidkaargar/it-department-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/rules/vahidkaargar/it-department-skills/skills-discovery)<a href="https://agentmods.dev/rules/vahidkaargar/it-department-skills/skills-discovery"><img src="https://agentmods.dev/badge/rules/vahidkaargar/it-department-skills/skills-discovery/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/rules/vahidkaargar/it-department-skills/skills-discovery"><img src="https://agentmods.dev/badge/rules/vahidkaargar/it-department-skills/skills-discovery.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 | $0.00166 | $0.00166 |
| Opus 5 | $0.00083 | $0.00083 |
| Sonnet 5 | $0.00033 | $0.00033 |
| Haiku 4.5 | $0.00017 | $0.00017 |
Grade A, and why
skills-discovery 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 11d 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
Skill discovery
- NEVER enumerate or load full skill lists into context — they are indexed; search instead.
- Need a capability? Run
skillfind "<intent>"in terminal → read the ONE top SKILL.md path it returns. - Rules lookup:
rulesfind "<topic>"; audit always-on token cost withrulesfind --always. - Hot set (ops + skill authoring) is pre-listed in
~/.agents/skills-catalog/CATALOG.md— read that file, not source dirs. - Archived skills (
~/.skills-archive/) are searchable and readable by path; restore withmv ~/.skills-archive/<name> ~/.claude/skills/<name>.
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.
- 11d ago First seen · 13 lines · 166 tokens per session scan A ca7a9b4127ed
skills-discovery is a cursor rule published in the GitHub repository vahidkaargar/it-department-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 166 tokens to every session, about $0.0008 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.
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