What is codebase-intelligence AGENTS.md?

A TypeScript tool that examines a codebase, maps dependencies between files and modules, and reports architectural information. It can be used through an MCP server for coding agents or through command-line commands for people and automated builds.

Use it to inspect project structure, find dependent files, identify risky or unused code, search symbols, analyze changes, and rename symbols.

Large codebases can make it difficult to see what depends on what or which files a change may affect. This tool provides searches, dependency details, change detection, and impact analysis.

How bntvllnt/codebase-intelligence configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to bntvllnt/codebase-intelligence. 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/bntvllnt/codebase-intelligence/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/bntvllnt/codebase-intelligence

Made for: Codex, OpenCode.

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/instructions/bntvllnt/codebase-intelligence/agents-md/github.svg)](https://agentmods.dev/instructions/bntvllnt/codebase-intelligence/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/bntvllnt/codebase-intelligence/agents-md"><img src="https://agentmods.dev/badge/instructions/bntvllnt/codebase-intelligence/agents-md/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/instructions/bntvllnt/codebase-intelligence/agents-md"><img src="https://agentmods.dev/badge/instructions/bntvllnt/codebase-intelligence/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 1,066 This file is loaded in full into every session.

When invoked 1,066 The same file — it is already loaded in full.

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

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.

Model	Per session	Once invoked
Fable 5.1	$0.01066	$0.01066
Opus 5.5	$0.00426	$0.00426
Sonnet 5.5	$0.00213	$0.00213
Haiku 4.5	$0.00107	$0.00107

Measured 2mo ago against content hash b45f81315e6c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

codebase-intelligence AGENTS.md 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.

AGENTS.md · 106 lines

How it starts

The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Codebase Intelligence

TypeScript codebase analysis engine. Parses source, builds dependency graphs, computes architectural metrics.

Setup

npx codebase-intelligence@latest <path>     # One-shot (no install)
npm install -g codebase-intelligence         # Global install

Interfaces

MCP (for AI agents — preferred)

Start the MCP stdio server:

codebase-intelligence ./path/to/project

15 tools available: codebase_overview, file_context, get_dependents, find_hotspots, get_module_structure, analyze_forces, find_dead_exports, get_groups, symbol_context, search, detect_changes, impact_analysis, rename_symbol, get_processes, get_clusters.

2 prompts: detect_impact, generate_map. 3 resources: codebase://clusters, codebase://processes, codebase://setup.

CLI (for humans and CI)

15 commands — full parity with MCP tools:

codebase-intelligence overview ./src              # Codebase snapshot
codebase-intelligence hotspots ./src              # Rank files by metric
codebase-intelligence file ./src auth/login.ts    # File context
codebase-intelligence search ./src "auth"         # Keyword search
codebase-intelligence changes ./src               # Git diff analysis
codebase-intelligence dependents ./src types.ts   # File blast radius
codebase-intelligence modules ./src               # Module architecture
codebase-intelligence forces ./src                # Force analysis
codebase-intelligence dead-exports ./src          # Unused exports
codebase-intelligence groups ./src                # Directory groups
codebase-intelligence symbol ./src parseCodebase  # Symbol context
codebase-intelligence impact ./src getUserById    # Symbol blast radius
codebase-intelligence rename ./src old new        # Rename references
codebase-intelligence processes ./src             # Execution flows
codebase-intelligence clusters ./src              # File clusters

Add --json for machine-readable output. All commands auto-cache the index.

Read the full file on GitHub · 106 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.

2mo ago First seen · 106 lines · 1,066 tokens per session scan A b45f81315e6c

Subscribe to this mod's changes

codebase-intelligence AGENTS.md is an instructions file published in the GitHub repository bntvllnt/codebase-intelligence (7 stars, last pushed 15d ago), licensed MIT. It adds 1,066 tokens to every session, about $0.0043 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 2026-08-31.

Building agents architecture code-analysis code-map dependency-graph mcp pagerank

codebase-intelligence AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
codebase-intelligence AGENTS.mdbntvllnt/codebase-intelligence	Instructions file	7	15d ago	MIT	A	1,066	Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	today	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	yesterday	MIT	A	4,680	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	274k	2d ago	MIT	A	4,313	Codex, OpenCode

codebase-intelligence: Instructions file for Codex