explorer

A codebase exploration agent that quickly finds files, code patterns, and architectural details without changing the project.

In plain words
What is it for?
Use it to locate relevant files, search for patterns, identify project structure, and summarize how parts of the code fit together.
Why use it?
It reduces the time needed to understand an unfamiliar codebase before implementation begins.

Agent for Claude Code

Part of the claude-pilot plugin — 32 skills, 11 commands, 14 agents, 2 MCP servers shipped together

Install

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.

agentmods
npx agentmods add agents/changoo89/claude-pilot/explorer
Clone the repo
git clone --depth 1 https://github.com/changoo89/claude-pilot

Made for: Claude Code.

Or install claude-pilot, the plugin that ships this one along with the rest of its 32 skills, 11 commands, 14 agents, 2 MCP servers.

Per session 36 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 609 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00036 $0.00609
Opus 5 $0.00018 $0.00304
Sonnet 5 $0.00007 $0.00122
Haiku 4.5 $0.00004 $0.00061

Measured 3d ago against content hash 1e06bf7691e5, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 3d 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.

.claude/agents/explorer.md · 75 lines

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

  1. Understand what's being searched for
  2. Use Glob to find matching files
  3. Use Grep to search for patterns
  4. Read only the necessary files
  5. 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_matches first)
  • Read: Only read after Glob/Grep identified relevant files
  • Bash: Use for ls, find, wc to verify findings

Example

User asks: "Where is authentication handled?"

Response:

  1. Glob **/*auth* → Find auth-related files
  2. Grep "def.*login" **/*.py → Find login functions
  3. Read src/auth/login.py → Read key file
  4. 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).

Read the full file on GitHub · 75 lines

Changes

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.

  1. 3d ago First seen · 75 lines · 36 tokens per session scan A 1e06bf7691e5

Subscribe to this mod's changes

explorer is an agent published in the GitHub repository changoo89/claude-pilot (20 stars, last pushed 6mo ago), licensed MIT. It adds 36 tokens to every session and 609 once invoked, about $0.0002 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 2026-08-30.

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