Borrowing it
Nothing to install: this file belongs to impactbrussels/AINativeOS. 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/impactbrussels/AINativeOS/main/CLAUDE.mdgit clone --depth 1 https://github.com/impactbrussels/AINativeOSWrote 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/impactbrussels/ainativeos/claude-md)<a href="https://agentmods.dev/instructions/impactbrussels/ainativeos/claude-md"><img src="https://agentmods.dev/badge/instructions/impactbrussels/ainativeos/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/impactbrussels/ainativeos/claude-md"><img src="https://agentmods.dev/badge/instructions/impactbrussels/ainativeos/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 | $0.01582 | $0.01582 |
| Opus 5.5 | $0.00633 | $0.00633 |
| Sonnet 5.5 | $0.00316 | $0.00316 |
| Haiku 4.5 | $0.00158 | $0.00158 |
Grade A, and why
AINativeOS 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 1mo 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 — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI-Native OS: Master Instructions
The open operating system for building an AI-native company. This file is the master context for any AI agent operating inside AI-Native OS (Claude Code reads
CLAUDE.md; Codex reads the mirrorAGENTS.md; Cursor reads.cursor/rules/ai-native-os.mdc; Gemini CLI readsGEMINI.md). Treat everything here as standing instruction.
What AI-Native OS is
A theme-agnostic library of skills, flows, loops, and advisor agents that takes a founder from a raw idea to a company where intelligence sits at the core of the product and the org, not bolted on the side. It is paired with a Handbook (the method, long-form) and a Dictionary (the vocabulary). The founder supplies the domain; AI-Native OS supplies the architecture, the rigour, and the runnable method.
The one test that defines the whole repo, the Remove-the-AI test: take the AI out of your product. If it still works, you built an AI feature, not an AI-native company. Everything here pushes toward systems that break without their intelligence, because that is where the moat is.
The journey (primary organising axis)
Frame → Architect → Build → Trust → Ship → Grow → Defend
- Frame: turn a vague idea into a falsifiable hypothesis; map the terrain; run discovery that doesn't lie.
- Architect: design the cognitive system (Brain / Memory / Planning / Tools) before touching code.
- Build: agentic coding (specs + tests over syntax); pay down agentic technical debt as you go.
- Trust: evaluation and safety for multi-agent systems in sensitive domains.
- Ship: design a Minimum Viable Agent, not a feature pile.
- Grow: narrative and GEO, AI-assisted sales, and measuring real product-market fit.
- Defend: AI-native ops, data flywheels, and moats.
When a founder is unsure where they are, run start-here first: it diagnoses their stage,
runs the Remove-the-AI test, and routes them to one next skill. Full map: docs/STAGES.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.
- 1mo ago First seen · 101 lines · 1,582 tokens per session scan A b2a8cee31f30
AINativeOS CLAUDE.md is an instructions file published in the GitHub repository impactbrussels/AINativeOS (1 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 1,582 tokens to every session, about $0.0063 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.
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).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.