What is explore-codebase?

A codebase exploration skill that uses a knowledge graph to map files, modules, functions, classes, and their relationships. A knowledge graph is a connected index that helps trace how parts of a codebase fit together.

Use it to inspect architecture, find related code, trace callers and dependencies, follow execution paths, and locate large or complex functions.

It helps you understand an unfamiliar codebase without searching through files one by one.

How jeetkhinde/ai-stack configures Gemini CLI

Reuse

Borrowing it

Nothing to install: this file belongs to jeetkhinde/ai-stack. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/jeetkhinde/ai-stack/master/.gemini/skills/explore-codebase/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/jeetkhinde/ai-stack

Made for: Gemini CLI.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/jeetkhinde/ai-stack/explore-codebase/github.svg)](https://agentmods.dev/skills/jeetkhinde/ai-stack/explore-codebase)

Your own site

<a href="https://agentmods.dev/skills/jeetkhinde/ai-stack/explore-codebase"><img src="https://agentmods.dev/badge/skills/jeetkhinde/ai-stack/explore-codebase/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/jeetkhinde/ai-stack/explore-codebase"><img src="https://agentmods.dev/badge/skills/jeetkhinde/ai-stack/explore-codebase.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 15 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 279 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin 95% copy Near-identical to another mod 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.

Model	Per session	Once invoked
Fable 5.1	$0.00015	$0.00279
Opus 5.5	$0.00006	$0.00112
Sonnet 5.5	$0.00003	$0.00056
Haiku 4.5	$0.00002	$0.00028

Measured 14d ago against content hash ed8bb6ca2d50, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

explore-codebase 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 14d 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.

Origin

This is a copy

95% identical to explore-codebase — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.gemini/skills/explore-codebase/SKILL.md · 29 lines

What it actually says

Explore Codebase

Use the code-review-graph MCP tools to explore and understand the codebase.

Steps

Run list_graph_stats to see overall codebase metrics.
Run get_architecture_overview for high-level community structure.
Use list_communities to find major modules, then get_community for details.
Use semantic_search_nodes to find specific functions or classes.
Use query_graph with patterns like callers_of, callees_of, imports_of to trace relationships.
Use list_flows and get_flow to understand execution paths.

Tips

Start broad (stats, architecture) then narrow down to specific areas.
Use children_of on a file to see all its functions and classes.
Use find_large_functions to identify complex code.

Token Efficiency Rules

ALWAYS start with get_minimal_context(task="<your task>") before any other graph tool.
Use detail_level="minimal" on all calls. Only escalate to "standard" when minimal is insufficient.
Target: complete any review/debug/refactor task in ≤5 tool calls and ≤800 total output tokens.

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.

14d ago First seen · 29 lines · 15 tokens per session scan A ed8bb6ca2d50

Subscribe to this mod's changes

explore-codebase is a skill published in the GitHub repository jeetkhinde/ai-stack (0 stars, last pushed 20d ago), licensed MIT. It adds 15 tokens to every session and 279 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 95% identical to explore-codebase, differing in 8 lines, and is treated as a copy.

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ai-stack: Skill for Gemini CLI