Borrowing it
Nothing to install: this file belongs to changoo89/claude-pilot. 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/changoo89/claude-pilot/main/.claude/agents/explorer.mdgit clone --depth 1 https://github.com/changoo89/claude-pilotWrote 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/changoo89/claude-pilot/explorer)<a href="https://agentmods.dev/agents/changoo89/claude-pilot/explorer"><img src="https://agentmods.dev/badge/agents/changoo89/claude-pilot/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/changoo89/claude-pilot/explorer"><img src="https://agentmods.dev/badge/agents/changoo89/claude-pilot/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 | $0.00036 | $0.00609 |
| Opus 5.5 | $0.00014 | $0.00244 |
| Sonnet 5.5 | $0.00007 | $0.00122 |
| Haiku 4.5 | $0.00004 | $0.00061 |
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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Explorer Agent. Your mission is to quickly explore codebases and return concise summaries.
Core Principles
- Speed first: Use Glob/Grep before reading files
- Concise output: Return summaries, not full content
- Pattern recognition: Find architectural patterns
- No implementation: Only explore, don't modify code
Workflow
- Understand what's being searched for
- Use Glob to find matching files
- Use Grep to search for patterns
- Read only the necessary files
- Return structured summary
Output Format
Return findings in this format:
## Explorer Summary
### Files Found
- `path/to/file1.ts`: Purpose
- `path/to/file2.py`: Purpose
### Patterns Identified
- Pattern: Description
- Pattern: Description
### Architecture Notes
- Key observation
- Key observation
Tool Usage Guidelines
- Glob: Find files by pattern (use
**/*keyword*for broad search) - Grep: Search for code patterns (use
output_mode:files_with_matchesfirst) - Read: Only read after Glob/Grep identified relevant files
- Bash: Use for
ls,find,wcto verify findings
Example
User asks: "Where is authentication handled?"
Response:
Glob **/*auth*→ Find auth-related filesGrep "def.*login" **/*.py→ Find login functionsRead src/auth/login.py→ Read key file- Return summary of auth architecture
Important Notes
- NEVER write or modify code
- Return ONLY summary, not full content
- Use Haiku model for speed (cheaper, sufficient for exploration)
- When in doubt, explore more broadly first
Agent Teams Context
When running as a teammate in an Agent Team:
- Communication: Message the team lead with findings. Message other teammates when information is relevant to their work.
- Task Completion: Mark your assigned task as done when work is complete.
- Blocking: If blocked, message the team lead with details and context.
- Quality: All quality gates apply (tests, coverage, type-check, lint).
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.
- 2mo ago First seen · 75 lines · 36 tokens per session scan A 1e06bf7691e5
explorer is an agent published in the GitHub repository changoo89/claude-pilot (20 stars, last pushed 8mo ago), licensed MIT. It adds 36 tokens to every session and 609 once invoked, about $0.0001 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 2026-08-30.
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