Borrowing it
Nothing to install: this file belongs to natnew/awesome-ai-scientists. 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/natnew/awesome-ai-scientists/main/AGENTS.mdgit clone --depth 1 https://github.com/natnew/awesome-ai-scientistsWrote 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/natnew/awesome-ai-scientists/agents-md)<a href="https://agentmods.dev/instructions/natnew/awesome-ai-scientists/agents-md"><img src="https://agentmods.dev/badge/instructions/natnew/awesome-ai-scientists/agents-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/natnew/awesome-ai-scientists/agents-md"><img src="https://agentmods.dev/badge/instructions/natnew/awesome-ai-scientists/agents-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 | $0.02529 | $0.02529 |
| Opus 5.5 | $0.01012 | $0.01012 |
| Sonnet 5.5 | $0.00506 | $0.00506 |
| Haiku 4.5 | $0.00253 | $0.00253 |
Grade A, and why
awesome-ai-scientists AGENTS.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 — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Operating Protocol for AI Agents
Tool-agnostic working rules for any AI coding agent (Claude Code, Codex, Cursor, Copilot, Gemini, Aider, and similar) operating in this repository. Follow repository-local guidance over generic awesome-list assumptions.
Start here
Read in this order before acting. Stop at the first file that answers your question; load the rest on demand.
- This file — operating protocol, trust boundary, stop conditions.
README.md— scope, sections, the index entry format.website/docs/workflows.md,domains.md,resource-types.md— canonical taxonomy slugs (source of truth).CONTRIBUTING.md— issue-first workflow and the contributor checklist..github/ISSUE_TEMPLATE/*,.github/pull_request_template.md— contributor expectations.MAINTAINERS.md, recent issues / PRs — precedent and cadence.CLAUDE.md— Claude-specific resolver, output templates, command discipline.
Repository North Star
A curated catalogue of resources for building AI Scientist systems — AI that assists scientific discovery across literature intelligence, hypothesis generation, experiment planning, tool use, evaluation, and scientific communication. README.md is the primary human-facing index; the Docusaurus site under website/ is its navigable, tagged surface. Keep the list selective, durable, technically useful, and easy to navigate. Curation matters more than accumulation: each entry should help a reader understand the landscape, not merely add a link.
Two surfaces, two formats
The same catalogue is published in two places. Infer the format from the file you are editing — never impose one surface's format on the other.
| Surface | Files | Entry format |
|---|---|---|
| Index | README.md |
- [Name](url) - one sentence. Hyphen separator, no taxonomy tags. |
| Site | website/docs/*.md |
- [Name](url) — one sentence. \lifecycle:slug` `domain:slug` `type:slug`` Em-dash separator, three backticked tags required. |
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 · 163 lines · 2,529 tokens per session scan A 336f2f7f5963
awesome-ai-scientists AGENTS.md is an instructions file published in the GitHub repository natnew/awesome-ai-scientists (20 stars, last pushed 5d ago), licensed MIT. It adds 2,529 tokens to every session, about $0.0101 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.