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 giggsoinc/raven --skill raven-searchgit clone --depth 1 https://github.com/giggsoinc/ravenWrote 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/giggsoinc/raven/raven-search)<a href="https://agentmods.dev/skills/giggsoinc/raven/raven-search"><img src="https://agentmods.dev/badge/skills/giggsoinc/raven/raven-search/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/giggsoinc/raven/raven-search"><img src="https://agentmods.dev/badge/skills/giggsoinc/raven/raven-search.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 | $0.00042 | $0.00302 |
| Opus 5.5 | $0.00017 | $0.00121 |
| Sonnet 5.5 | $0.00008 | $0.00060 |
| Haiku 4.5 | $0.00004 | $0.00030 |
Grade A, and why
raven-search 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 1mo 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
/raven-search
Search for skills, audit them, and install with approval.
Usage
/raven-search {query} ← search
/raven-search --install {name} ← install with audit + approval
/raven-search --list ← show approved skills
Steps
Search
Run: python3 .claude/scripts/skill-search.py --query "{query}"
Show results table. Prompt: "Which would you like to install? (number or full_name)"
Install + Audit
Run: python3 .claude/scripts/skill-search.py --install "{full_name}"
Script will:
- Fetch SKILL.md from source
- Run automated security audit
- Show first 15 lines for manual review
- Block if critical issues found
- Ask for approval (yes/no)
- Install to .claude/skills/ if approved
- Add to manifest.approved_skills
- Remind to restart Claude Code
After install
Remind developer:
- Review full SKILL.md before using
- Pin to commit hash for production use
- Re-audit on every update
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.
- 1mo ago First seen · 44 lines · 42 tokens per session scan A afd02744a72e
raven-search is a skill published in the GitHub repository giggsoinc/raven (5 stars, last pushed 13d ago), licensed MIT. It adds 42 tokens to every session and 302 once invoked, about $0.0002 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 2026-09-03.
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