Borrowing it
Nothing to install: this file belongs to brycewang-stanford/Auto-Research-Skills. 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/brycewang-stanford/Auto-Research-Skills/main/AGENTS.mdgit clone --depth 1 https://github.com/brycewang-stanford/Auto-Research-SkillsWrote 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/brycewang-stanford/auto-research-skills/agents-md)<a href="https://agentmods.dev/instructions/brycewang-stanford/auto-research-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/brycewang-stanford/auto-research-skills/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/brycewang-stanford/auto-research-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/brycewang-stanford/auto-research-skills/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 | $0.00560 | $0.00560 |
| Opus 5.5 | $0.00224 | $0.00224 |
| Sonnet 5.5 | $0.00112 | $0.00112 |
| Haiku 4.5 | $0.00056 | $0.00056 |
Grade A, and why
Auto-Research-Skills 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 7d 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 — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Coordination
This repository is often edited by multiple agents at once. Keep changes small, observable, and easy to merge.
Before editing
- Run
git status --short --branchand inspect any dirty files before choosing a work area. - Do not overwrite or revert changes you did not make. If a dirty file is relevant, read it first and make the smallest compatible edit.
- Prefer root-level scripts, docs, and generated catalog updates for maintenance
work. Treat
skills/,systems/,benchmarks/, andlists/as vendored submodules unless the task is explicitly to update a submodule pointer.
Generated files
catalog/skills.json,catalog/skills.csv,catalog/CATALOG.md, andcatalog/collections/*.mdare generated bypython tools/build_catalog.py. Do not hand-edit them.- After adding, removing, or updating submodules under
skills/, regenerate the catalog and update README headline counts whenscripts/check-repo.pyasks for it. - See
docs/TOOLING.mdfor the full generated-vs-source file map, the data pipeline, and themake/CI check matrix. - See
docs/landscape-2026.mdfor the field map that explains theskills//systems//benchmarks//lists/split and where vendored projects sit in the wider ecosystem. New-vendoring decisions are logged underdocs/(latest:docs/vendoring-2026-10-20.md). - After any submodule change also run
make starter-kits; the kits depend on catalog content and safety findings.
Validation
Run these before handing off repo-level maintenance changes:
make check
Equivalent individual commands:
python scripts/check-repo.py
python -m unittest discover -s tests
python tools/build_catalog.py --check
./scripts/count-skills.sh
Use make safety-scan SAFETY_ROOTS=<path> for candidate skill collections.
Findings are manual-review prompts, not automatic rejection.
Handoff
- Summarize which files you changed and which checks passed.
- Mention known warnings separately, especially the current
skills/claude-scholarandskills/franklee-academic-research-skillsnested-gitlink warnings (upstream layout, not actionable here).
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.
- 7d ago Changed · +3 lines · +47 tokens per session d10ee762f09a
- 1mo ago First seen · 56 lines · 513 tokens per session scan A 8279644dea14
Auto-Research-Skills AGENTS.md is an instructions file published in the GitHub repository brycewang-stanford/Auto-Research-Skills (230 stars, last pushed 2d ago), licensed CC0-1.0. It adds 560 tokens to every session, about $0.0022 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
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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.
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Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
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Model-specific prompt authoring and registry guidelines.