Borrowing it
Nothing to install: this file belongs to bjcoombs/ai-native-toolkit. 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/bjcoombs/ai-native-toolkit/main/CLAUDE.mdgit clone --depth 1 https://github.com/bjcoombs/ai-native-toolkitWrote 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/bjcoombs/ai-native-toolkit/claude-md)<a href="https://agentmods.dev/instructions/bjcoombs/ai-native-toolkit/claude-md"><img src="https://agentmods.dev/badge/instructions/bjcoombs/ai-native-toolkit/claude-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.
<a href="https://agentmods.dev/instructions/bjcoombs/ai-native-toolkit/claude-md"><img src="https://agentmods.dev/badge/instructions/bjcoombs/ai-native-toolkit/claude-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.03314 | $0.03314 |
| Opus 5.5 | $0.01326 | $0.01326 |
| Sonnet 5.5 | $0.00663 | $0.00663 |
| Haiku 4.5 | $0.00331 | $0.00331 |
Grade A, and why
ai-native-toolkit 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 9d 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 — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
In-repo contract for agents editing ai-native-toolkit. Repo-specific rules only; global conventions (voice, workflow, worktrees) live in the user's ~/.claude/CLAUDE.md. Long reference material lives under docs/contributing/, one pointer per topic below.
Scope of this repo
Source for the ai-native-toolkit Claude Code plugin. Portable skills (/assess, /huddle, /deslop, /ghsync, /skill-forge, /semantic-compress), user-invoked framework skills (/6hats, /understand), opt-in personal workflow skills (/tm, /issues, /fix-pr, /fix-develop, /tm-marathon-config-example), and team-orchestration library skills (marathon, pr-review-merge, ab-equivalence) composed by the other skills rather than invoked standalone. Every component is a skill under skills/<name>/SKILL.md or an agent under agents/; there is no commands/ directory.
The deliverable is markdown, plus a Python deterministic core under skills/assess/scripts/ (with lib/) and a standalone-skill build under scripts/. No application runtime. The pytest suites, the ruff + mypy gates and the floor checks gate merge.
North star
Make an AI contributor feel like an engineer eighteen months into the org: the codebase supplies the tenure through externalized context. Aim for legibility you can trust, not omniscience you can't: answers anchored to code a human can spot-check. Guardrails protect the contributor by construction (poka-yoke) against three known tendencies: accretion (files only grow), unactioned intent (TODO and "remove after" markers nobody keeps) and guardrail erosion (loosening a check to turn red green).
Feature test. Does the change help a fresh agent (the map), keep answers verifiable (trust), and make the wrong action hard (guardrails)? Name the tendency each new signal or rule compensates for; one that traces to no failure mode is decoration. Prefer honest-degrade over impressive-but-wrong. Full text: docs/contributing/north-star.md.
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.
- 9d ago Changed · -90 lines · -5,534 tokens per session scan C → A 37cfbbb399bc
- 12d ago Changed · +5 lines · +1,000 tokens per session de5025f6a95d
- 13d ago Changed · +11 lines · +1,613 tokens per session scan A → C 0810fb7c23c3
- 1mo ago Changed · +89 tokens per session 3db36918f5b1
- 1mo ago Changed · +116 tokens per session 1e2c17e89dee
- 1mo ago Changed · +8 lines · +398 tokens per session ba57f98ca71b
- 1mo ago Changed · +35 tokens per session 5a69de2d9f14
- 1mo ago First seen · 224 lines · 5,597 tokens per session scan A 17c43191b9dd
ai-native-toolkit CLAUDE.md is an instructions file published in the GitHub repository bjcoombs/ai-native-toolkit (32 stars, last pushed 5d ago), licensed Apache-2.0. It adds 3,314 tokens to every session, about $0.0133 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 2026-08-30.
Other instructions, from other repositories
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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 copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.