open-research-skills / skills
AGENTS.md8 starsChanged 5 months agoMITView on GitHub
This file is the contributor guide for adding a new skill under skills/. Read /AGENTS.md at the repo root first — it has the high-level policy. Read this file when you actually need to add or modify a skill. A skill is not raw documentation. It's a recipe the agent follows. The full schema is in spec/skill-format.md. Short version: That's it. Everything else (category, version, author, tags, difficulty, sources) goes in the <!-- metadata: ... --> block at the top…
Where files are headingNew AGENTS.md files have more rules about keeping secrets out of the code, and fewer about code style.
Of the AGENTS.md files we read, the 31,700 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.
In this repository125 other files it gives its agents.
- AGENTS.mdAGENTS.md
- batch-processingSkill
- bowtie2-alignmentSkill
- bwa-alignmentSkill
- bwa-mem2-alignmentSkill
- codon-usageSkill
- compressed-sequence-filesSkill
- fastq-quality-scoresSkill
- filter-sequencesSkill
- format-conversionSkill
- hisat2-alignmentSkill
- motif-searchSkill
- paired-end-fastqSkill
- pysam-genomicsSkill
- read-write-sequencesSkill
- reverse-complementSkill
- sam-bam-basicsSkill
- samtools-bam-processingSkill
- seq-objectsSkill
- sequence-propertiesSkill
- sequence-slicingSkill
- sequence-statisticsSkill
- star-alignmentSkill
- transcription-translationSkill
- academic-cvSkill
- faculty-interviewSkill
- fellowship-applicationSkill
- industry-transitionSkill
- negotiationSkill
- tenure-dossierSkill
- admet-predictionSkill
- conformer-generationSkill
- covalent-designSkill
- docking-rescoringSkill
- free-energy-calculationsSkill
- generative-designSkill
- molecular-descriptorsSkill
- molecular-ioSkill
- molecular-standardizationSkill
- pharmacophore-modelingSkill
- pose-validationSkill
- protac-degradersSkill
- qsar-modelingSkill
- retrosynthesisSkill
- scaffold-analysisSkill
- shape-similaritySkill
- similarity-searchingSkill
- substructure-searchSkill
- virtual-screeningSkill
- snakemake-workflow-engineSkill
- ai-disclosureSkill
- data-privacySkill
- image-integritySkill
- irb-protocolSkill
- ai-detection-awarenessSkill
- ai-disclosure-statementSkill
- scientific-voice-styleSkill
- text-humanizing-editorialSkill
- cellprofiler-pipelinesSkill
- image-analysis-best-practicesSkill
- The first 60 shown.
The file
We split this AGENTS.md into the rules it gives an agent
6 rules. About 0 are common, 3 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 12
Add cross-references: Every skill should list at least 2-3 slugs of related skills.
- Very specific: line 31
Cite sources: If you adapted material from an upstream skill, list it in the metadata sources field.
- Distinctive: line 49
Don't copy verbatim from copyrighted sources: Always rewrite in your own words.
- Distinctive: line 52
Don't claim to support a tool version you haven't verified: If you say "works with BWA 0.7.17", you've actually tested it.
- Very specific: line 79
Default to medium if unsure.
- Very specific: line 95
Start Claude Code in that directory: claude.
≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Skills authoring guide
This file is the contributor guide for adding a new skill under skills/. Read /AGENTS.md at the repo root first — it has the high-level policy. Read this file when you actually need to add or modify a skill.
Workflow for adding a new skill
- Pick the right category. Open
spec/category-taxonomy.mdand find the closest match. If none of the 18 fit, see the "Adding a new category" section there. If the skill cuts across multiple categories, it goes undermeta/instead. - Copy
template/SKILL.mdtoskills/<category>/<your-skill-slug>/SKILL.md(ormeta/<your-skill-slug>/SKILL.md). - Fill in the frontmatter.
nameMUST match the folder name and MUST be unique repo-wide.descriptionis the routing signal — write it carefully. - Fill in the body metadata block with category, version, author, oversight (very-high | high | medium | low), tags, difficulty, sources. See the
oversightdecision table below. - Write the body sections. The four mandatory sections are:
## When to use,## Hard rules,## Cross-references,## Changelog. Add more (workflow, code patterns, pitfalls, validation, references) as needed. - Add cross-references. Every skill should list at least 2-3 slugs of related skills. Use the bare slug (folder name), not a path.
- Run
python scripts/validate-skills.py skills/from the repo root. Fix any errors. The validator checks all four required sections, the three base hard rules, and that every cross-reference slug resolves to a real skill. - Run
python scripts/build-index.pyto regenerateINDEX.mdwith your new skill. - Open a PR.
Naming rules
- Folder name: lowercase kebab-case ASCII, no leading/trailing hyphens, no version numbers, no author names.
- Good:
bwa-alignment,pysam-genomics,rdkit-fingerprint,fastq-quality-scores. - Bad:
BWA_Alignment(uppercase, underscore),bwa-alignment-v2(version in name),li-2023-pysam(author + year in name).
Skill body guidance
A skill is not raw documentation. It's a recipe the agent follows.
- Lead with when to use. The agent is matching your skill to a user request. Be specific.
- Include code patterns. Snippets > prose. Every snippet should be runnable in isolation.
- List pitfalls. What goes wrong if the agent follows the obvious path? Name it.
- Specify validation. How does the agent know the work is done? What does success look like?
- Cite sources. If you adapted material from an upstream skill, list it in the metadata
sourcesfield.
Frontmatter
The full schema is in spec/skill-format.md. Short version:
---
name: <kebab-case-slug, unique repo-wide>
description: <one or two sentences, ≤200 chars recommended>
license: <SPDX identifier, optional, defaults to MIT>
---That's it. Everything else (category, version, author, tags, difficulty, sources) goes in the <!-- metadata: ... --> block at the top of the body.
What NOT to do
- Don't copy verbatim from copyrighted sources. Always rewrite in your own words. Cite the source.
- Don't use the upstream author's name in the frontmatter or folder. All skills in this repo are authored by Pradyumna Jayaram unless explicitly co-authored in a PR.
- Don't add Co-Authored-By: AI-assistant lines to commits. This is a Pradyumna-Jayaram-authored repo.
- Don't claim to support a tool version you haven't verified. If you say "works with BWA 0.7.17", you've actually tested it.
- Don't add a skill that overlaps significantly with an existing one. If you think one is missing, open an issue first.
The four mandatory body sections
The validator (scripts/validate-skills.py) rejects skills missing any of these:
## When to use— 2-5 bullet triggers. The agent matches these against user requests. Be specific. Include a "When NOT to use" subsection if the skill overlaps with another.## Hard rules— the three base rules (no fabricated citations, no claim without provenance, no silent failure) PLUS any domain-specific rules. Use the exact phrasing of the base rules; the validator checks substrings.## Cross-references— list of- <slug> — descriptionlines. Every slug must resolve to a folder underskills/ormeta/. This is the mesh that lets the agent chain skills.## Changelog— start with- **1.0.0** (YYYY-MM-DD) — Initial release.and add a line per breaking change.
Setting oversight
oversight in the metadata block declares how much human review the skill's output requires. Pick conservatively.
| Level | Use when | Examples |
| very-high | The output drives a clinical, regulatory, or safety-critical decision. | Patient-facing dosing, IRB protocol drafts, |
| Mistakes are hard to roll back. | consent forms, clinical report writing. | |
| high | The output is a published artefact whose author will be on record. | Grant proposals, peer review reports, |
| Plagiarism, hallucination, or miscalibration would damage reputation. | scientific-writing outputs, statistical analyses. | |
| medium | The output is a working artefact (analysis script, draft figure) that | Most day-to-day skills. |
| the user will review and iterate on. | ||
| low | The output is a throwaway convenience (a one-liner, a doc lookup, | API parameter recall, file-renaming recipes. |
| a quick syntactic check). Mistakes are cheap to detect. |
Default to medium if unsure. The meta/integrity-audit skill is very-high because it audits other skills' integrity.
Validation
Two scripts enforce the contract:
python scripts/validate-skills.py skills/— checks frontmatter, naming, uniqueness, the four mandatory sections, the three base hard rules,oversight, and that every cross-reference slug resolves to a real skill.python scripts/build-index.py— regeneratesINDEX.md.
Both run in CI (.github/workflows/validate.yml).
Local testing
Once a skill is in place, you can test it by:
cdto the repo root.- Start Claude Code in that directory:
claude. - In the chat, reference the skill by its name, e.g. "Use the
bwa-alignmentskill to align these reads." - Confirm Claude loads and follows the skill.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

