code_explorer

A repository investigation guide that locates the main source files, connected interface components, and tests related to a bug or feature request.

In plain words
What is it for?
Use it to explore a codebase, trace errors and imports, identify affected packages, and gather verified context before planning a change.
Why use it?
It prevents fixes from being planned around guessed file paths or an incomplete view of how the code is connected.

Skill for Claude CodeCodexGemini CLI

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 skills/google-gemini/gemini-cli/code_explorer
Any agent
npx skills add google-gemini/gemini-cli --skill code_explorer
Clone the repo
git clone --depth 1 https://github.com/google-gemini/gemini-cli

Made for: Claude Code, Codex, Gemini CLI.

Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 548 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 $0.00028 $0.00548
Opus 5 $0.00014 $0.00274
Sonnet 5 $0.00006 $0.00110
Haiku 4.5 $0.00003 $0.00055

Measured yesterday against content hash daf02cab765f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

code_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 yesterday.

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.

tools/caretaker-agent/cloudrun/triage-worker/.gemini/skills/code_explorer/SKILL.md · 34 lines

How it starts

The opening of the file, as written. The whole thing — 34 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Code Explorer Instructions

Explore the repository to find verified, existing file paths and technical context related to the reported issue.

Phase 1: Root Exploration & Related Area Discovery

  1. Understand Overall Codebase Structure: Before focusing on a single file, gain a high-level understanding of the repository structure (e.g. packages/cli, packages/core). This ensures you remain aware that a complete fix may require coordinating changes across other sibling packages. Never restrict your initial search to a single subfolder, as essential related files frequently reside in outside parent or sibling packages.
  2. Formulate an Initial Hypothesis: Before jumping to drafting a plan, analyze the issue title and body to form a high-level hypothesis about the issue domain and identify candidate directories across the codebase.

Phase 2: Directed Code Exploration & Traversal

  1. Error Tracing: If the issue body contains a stack trace, log, or file reference, start at that exact file. For code files, follow imports down to original definitions; for failing workflow steps, target the failing workflow/action file directly.
  2. Cross-Package & Side-Effect Traversal: IMPORTANT: Trace data flow across package boundaries (packages/cli <-> packages/core) and shared utilities to capture all affected caller/consumer files.
  3. Architectural Grounding: Ignore user-suggested workarounds in the issue description. Always investigate the underlying source code to derive a clean fix.

Phase 3: Test Applicability & Pattern Check

  1. Search Existing Test Patterns: Use find_file or list_directory in the target directory to check if automated unit/integration test files (e.g. *.test.ts or *.test.tsx) exist in that module.
  2. Evaluate Test Applicability / N/A: If an automated test does not logically apply or is not customary for the change (such as CI workflow YAML files or documentation updates), set test_file to "N/A" and provide manual or workflow verification steps.

Read the full file on GitHub · 34 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. yesterday First seen · 34 lines · 28 tokens per session scan A daf02cab765f

Subscribe to this mod's changes

code_explorer is a skill published in the GitHub repository google-gemini/gemini-cli (106,749 stars, last pushed 2d ago), licensed Apache-2.0. It adds 28 tokens to every session and 548 once invoked, about $0.0001 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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