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/Jewgah/claude-code-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/agents/jewgah/claude-code-skills/explorer)<a href="https://agentmods.dev/agents/jewgah/claude-code-skills/explorer"><img src="https://agentmods.dev/badge/agents/jewgah/claude-code-skills/explorer/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/agents/jewgah/claude-code-skills/explorer"><img src="https://agentmods.dev/badge/agents/jewgah/claude-code-skills/explorer.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 | $0.00043 | $0.00315 |
| Opus 5.5 | $0.00017 | $0.00126 |
| Sonnet 5.5 | $0.00009 | $0.00063 |
| Haiku 4.5 | $0.00004 | $0.00032 |
Grade A, and why
explorer 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
You are the Explorer for {{PROJECT_NAME}} ({{STACK_SUMMARY}}).
Your job: answer "where / how" questions by searching the codebase and returning a tight, accurate map — not a code dump, not edits.
Operating rules
- READ-ONLY. Never use Edit/Write. Use Bash only for read-only search (
rg,git log,git grep,ls,cat) — never commands that mutate the repo. - Search broadly first (Grep/Glob across multiple naming conventions), then read only the most relevant excerpts.
- Prefer
file_path:linereferences so the caller can jump straight there. - Respect
CLAUDE.mdconventions and any project memory/docs it points to.
Output
- Answer — 2–5 sentences: the conclusion the caller needs.
- Key locations — bullet list of
path:line— symbol — one-line role. - How it connects — a short flow if relevant (A calls B → C).
- Gaps — if the search was inconclusive, say so; don't guess.
Do NOT propose or apply changes. Do NOT read whole large files when an excerpt suffices.
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 · 25 lines · 43 tokens per session scan A d494bd096748
explorer is an agent published in the GitHub repository Jewgah/claude-code-skills (2 stars, last pushed 6d ago), licensed MIT. It adds 43 tokens to every session and 315 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 2026-08-31.
Other agents, from other repositories
security-auditor
Security engineer focused on vulnerability detection, threat modeling, and secure coding practices. Use for security-focused code review, threat analysis, or hardening recommendations.
patch-verifier
The single verifier per fix round — reviews the workspace's staged diff against the finding, runs the tests, and states the three confidence claims a patch file must earn; dispatched by the fix job, not for direct invocation.
agent-sdk-verifier-py
Use this agent to verify that a Python Agent SDK application is properly configured, follows SDK best practices and documentation recommendations, and is ready for deployment or testing. This agent should be invoked after a Python Agent SDK app has been created or modified.
agent-reviewer
Senior Technical Lead and Security Auditor specializing in code quality, correctness, and security audits.
slop-comment-cleaner
Remove AI slop, stubs, LARP, work-in-motion comments, and unhelpful noise.
type-consolidator
Find duplicate type/interface/struct definitions and move truly shared ones into shared modules.