Borrowing it
Nothing to install: this file belongs to QuantumBFS/sci-brain. 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/QuantumBFS/sci-brain/main/CLAUDE.mdgit clone --depth 1 https://github.com/QuantumBFS/sci-brainWrote 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/quantumbfs/sci-brain/claude-md)<a href="https://agentmods.dev/instructions/quantumbfs/sci-brain/claude-md"><img src="https://agentmods.dev/badge/instructions/quantumbfs/sci-brain/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/quantumbfs/sci-brain/claude-md"><img src="https://agentmods.dev/badge/instructions/quantumbfs/sci-brain/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 | $0.01547 | $0.01547 |
| Opus 5.5 | $0.00619 | $0.00619 |
| Sonnet 5.5 | $0.00309 | $0.00309 |
| Haiku 4.5 | $0.00155 | $0.00155 |
Grade A, and why
sci-brain 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 22d 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 — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repository Guide
This is the canonical project guide for agents working in this repository. Claude Code reads it directly; AGENTS.md routes Codex, OpenCode, and pi here so the project description stays in one place.
Project Overview
sci-brain is a skill-based plugin for AI coding assistants (Claude Code, Codex, OpenCode, pi) that provides structured literature, ideation, writing, review, and autonomous-research workflows. It is not a traditional application — its main product is the set of SKILL.md interaction protocols and their supporting scripts and references.
Working on skills
The 16 skills in skills/ are listed with their trigger descriptions in
README.md. Load only the entry point and supporting resources needed
for the current task. Public names match their containing directory.
- User entry points: brainstorm-ideas, survey, write-paper, review-paper, write-slides, autoresearch, know-me-better, create-advisor, dump-chat-history.
- Supporting workflows: how-to-build-kb, how-to-download-ref, how-to-analyze-dialog, how-to-flow, how-to-review-figure, how-to-technical-writing, how-to-write-ideas-report.
Each description is one sentence starting with User trigger. Use when … or,
for how-to-* skills, Agentic trigger. Use when …. scripts/validate_skills.py
enforces the prefix; tests/test_repository_consistency.py enforces how-to-* ⇔
agentic and keeps the README tables identical to the descriptions. When moving
resources, keep public names stable and each skill installable on its own.
autoresearch routes topics → db → validator → run from research/STATE.md.
Its user-confirmed acceptance gates, attempt budgets, and sealed holdout are
research invariants. Status questions are read-only. A tidy-up
(references/tidy-up.md, helpers/tidy_attempts.py) packs attempts into
their branches and writes research/ATTEMPTS.md without ending the campaign.
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.
- 22d ago Changed · +2 lines · +40 tokens per session be6275350115
- 24d ago Changed · -41 lines · -2,623 tokens per session 5d392356765d
- 29d ago Changed · +7 tokens per session ba95c4180025
- 1mo ago Changed · +7 tokens per session c17b9a66e362
- 1mo ago Changed · +3 lines · +265 tokens per session 7c7be117ea8e
- 1mo ago Changed · +4 lines · +72 tokens per session f35e972bb818
- 1mo ago Changed · +12 lines · +334 tokens per session 15b881ada10b
- 1mo ago First seen · 116 lines · 3,445 tokens per session scan A d8b0e20d508e
sci-brain CLAUDE.md is an instructions file published in the GitHub repository QuantumBFS/sci-brain (101 stars, last pushed 23d ago), licensed MIT. It adds 1,547 tokens to every session, about $0.0062 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).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.