agentmods.dev

explore-codebase

A code-navigation guide that uses a knowledge graph—a map of files, functions, classes, and their relationships—to explain a repository’s structure.

In plain words
What is it for?
It is for exploring modules, locating functions or classes, tracing callers and imports, following execution paths, and finding unusually large functions before a review, debugging task, or refactor.
Why use it?
It helps you find how code is connected without reading every file, while keeping the investigation focused on the relevant parts.

Skill for Claude CodeCodex

31k 5d ago A scan 15 tokens original MIT
View the source file tirth8205/code-review-graph
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/tirth8205/code-review-graph/explore-codebase
Any agent
npx skills add tirth8205/code-review-graph --skill explore-codebase
Clone the repo
git clone --depth 1 https://github.com/tirth8205/code-review-graph

Made for: Claude Code, Codex.

Per session 15 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 311 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 $0.00015 $0.00311
Opus 5 $0.00008 $0.00156
Sonnet 5 $0.00003 $0.00062
Haiku 4.5 $0.00002 $0.00031

Measured yesterday against content hash 0a42486619eb, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 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.

skills/explore-codebase/SKILL.md · 30 lines

What it actually says

Explore Codebase

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

Steps

  1. Run list_graph_stats_tool to see overall codebase metrics.
  2. Run get_architecture_overview_tool for high-level community structure.
  3. Use list_communities_tool to find major modules, then get_community_tool for details.
  4. Use semantic_search_nodes_tool to find specific functions or classes.
  5. Use query_graph_tool with patterns like callers_of, callees_of, imports_of to trace relationships.
  6. Use list_flows_tool and get_flow_tool 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_tool to identify complex code.

Token Efficiency Rules

  • Start with get_minimal_context_tool(task="<your task>") before other graph tools.
  • 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.
  • Read the implementation and its tests before changing code. The graph narrows scope; it does not replace the source.
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 · 30 lines · 15 tokens per session scan A 0a42486619eb

Subscribe to this mod's changes

explore-codebase is a skill published in the GitHub repository tirth8205/code-review-graph (31,016 stars, last pushed 5d ago), licensed MIT. It adds 15 tokens to every session and 311 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.

Code reviewData and AIDebuggingai-codingclaudeclaude-codegraphragincremental
Related

Other skills, from other repositories

rulesync

Generates and syncs AI rule configuration files (.cursorrules, CLAUDE.md, copilot-instructions.md) across 20+ coding tools from a single source. Use when syncing AI rules, running rulesync commands, importing or generating rule files, or managing shared AI coding configurations.

dyoshikawa/rulesync · 64 tokens

establishing-project-context

Use when the user asks to establish shared project language, or project work exposes a conflicting, renamed, or deprecated domain term that needs active semantic modeling. Routine small tasks stay on the fast path.

GanyuanRan/Aegis · 45 tokens

autoprompt

Explicit-only useful-first orchestration. Invoke /autoprompt to turn a mission into one executable roadmap, build dependency-safe lanes, and verify the result with independent reviewers. Never infer invocation from ordinary requests. Never resume from leftover artifacts without an explicit resume instruction.

Spielewoy/autoprompt-skill · 56 tokens

office-hours

YC Office Hours — two modes. Startup mode: six forcing questions that expose demand reality, status quo, desperate specificity, narrowest wedge, observation, and future-fit. Builder mode: design thinking brainstorming for side projects, hackathons, learning, and open source. Saves a design doc. Use when asked to…

GCWing/BitFun · 168 tokens

memstack-business-gdpr

Use this skill when the user says 'GDPR', 'data protection', 'privacy compliance', 'DPA', 'DSAR', 'data subject request', 'cookie consent', 'privacy audit', 'CCPA', or asks 'do I need GDPR for this repo'. Scans the repository to detect what personal data is collected, classifies sensitivity, determines whether GDPR…

cwinvestments/memstack · 121 tokens

echo

Use when the user references past sessions, asks 'what did we do', 'do you remember', 'last session', 'recall', or 'continue from'.

cwinvestments/memstack · 35 tokens