Borrowing it
Nothing to install: this file belongs to microhustlestack/cerebro-skill. 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/microhustlestack/cerebro-skill/main/CLAUDE.mdgit clone --depth 1 https://github.com/microhustlestack/cerebro-skillWrote 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/microhustlestack/cerebro-skill/claude-md)<a href="https://agentmods.dev/instructions/microhustlestack/cerebro-skill/claude-md"><img src="https://agentmods.dev/badge/instructions/microhustlestack/cerebro-skill/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/microhustlestack/cerebro-skill/claude-md"><img src="https://agentmods.dev/badge/instructions/microhustlestack/cerebro-skill/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 | $0.00378 | $0.00378 |
| Opus 5.5 | $0.00151 | $0.00151 |
| Sonnet 5.5 | $0.00076 | $0.00076 |
| Haiku 4.5 | $0.00038 | $0.00038 |
Grade A, and why
cerebro-skill 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.
What it actually says
CLAUDE.md
Guidance for Claude Code when working in this repository.
What this is
CEREBRO is a strategic intelligence engine for markdown vaults. It parses an Obsidian-style vault, scores notes, detects urgency, and surfaces structural gaps and connections.
It ships as both a Python package and an Agent Skill (SKILL.md at root).
Commands
pip install -e ".[dev]" # setup
pytest # 107 tests, sub-second
python3 scripts/validate_skill.py SKILL.md
cerebro /path/to/vault --gaps --report cerebro_report.md
cerebro /path/to/vault out.json --gaps --quiet
Layout
src/cerebro/
models.py dataclasses only
parser.py VaultParser — file walking, graphs, scoring
analysis.py AnalysisMixin — gaps, implicit connections, bottlenecks
report.py ReportMixin — markdown + JSON rendering
cli.py argparse entrypoint
scripts/
vault_parser.py back-compat shim, forwards to the package
validate_skill.py SKILL.md frontmatter validator (runs in CI)
VaultParser(ReportMixin, AnalysisMixin) — one object, separated sources.
Conventions
Analysis findings must be structural: derived from links, tags and frontmatter the author wrote. Do not add findings inferred from prose statistics; an unverifiable finding is worse than no finding.
Version lives in src/cerebro/__init__.py and nowhere else. pyproject.toml
and the JSON export both read from it.
scripts/vault_parser.py is a compatibility shim. Existing installs call
that path — don't delete it, and don't add logic to it.
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 · 51 lines · 378 tokens per session scan A 801d5b7ce271
cerebro-skill CLAUDE.md is an instructions file published in the GitHub repository microhustlestack/cerebro-skill (21 stars, last pushed 1mo ago), licensed MIT. It adds 378 tokens to every session, about $0.0015 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).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.