Borrowing it
Nothing to install: this file belongs to nrl-ai/chub. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/nrl-ai/chub/main/CLAUDE.mdgit clone --depth 1 https://github.com/nrl-ai/chubWrote 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.
[](https://agentmods.dev/instructions/nrl-ai/chub/claude-md)<a href="https://agentmods.dev/instructions/nrl-ai/chub/claude-md"><img src="https://agentmods.dev/badge/instructions/nrl-ai/chub/claude-md.svg" alt="Measured on agentmods" height="20"></a>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 | $0.01774 | $0.01774 |
| Opus 5 | $0.00887 | $0.00887 |
| Sonnet 5 | $0.00355 | $0.00355 |
| Haiku 4.5 | $0.00177 | $0.00177 |
Grade A, and why
chub CLAUDE.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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Python commands
Always use python instead of python3 in commands — python3 does not work reliably on Windows.
Commit style
Do not add Co-Authored-By trailers to commits. Commit messages should be plain, without AI attribution lines.
What this repo is
Chub is the all-in-one infrastructure layer for AI-assisted development teams. Built as a high-performance Rust rewrite of Context Hub, it provides:
- Context — curated, versioned API docs served to any AI coding agent via CLI + MCP
- Tracking — session lifecycle recording, token/cost analytics, and reasoning capture across Claude Code, Cursor, Copilot, Gemini CLI, Codex, and more
- Security — secret scanning (gitleaks/betterleaks-compatible) with AI transcript awareness, automatic transcript redaction
- Team — git-tracked sharing of docs, annotations, profiles, agent configs, and usage reports
Format-compatible with the original JS Context Hub and entire.io checkpoint format. See docs/plan.md for roadmap.
Commands
Build & run
cargo build # debug build
cargo build --release # optimised binary → target/release/chub
cargo run -- search "stripe" # run directly (debug)
cargo run -- get openai/chat --lang python
Test
cargo test --all # all tests in all crates
cargo test -p chub-core # core library only
cargo test -p chub-core search # tests whose name contains "search"
Unit tests are inline #[cfg(test)] blocks. Integration tests: crates/chub-core/tests/team_features.rs, crates/chub-core/tests/search_parity.rs.
Lint & format
cargo fmt --all # format all crates
cargo fmt --all -- --check # check only (CI mode)
cargo clippy --all -- -D warnings # lint; warnings are errors
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.
- 7d ago First seen · 151 lines · 1,774 tokens per session scan A 2c7f51e1d440
chub CLAUDE.md is an instructions file published in the GitHub repository nrl-ai/chub (11 stars, last pushed 5mo ago), licensed MIT. It adds 1,774 tokens to every session, about $0.0089 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.
Other instructions, from other repositories
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.