ai4s-skills

作者 ai4s-research已验证

Open-source agent skills for AI for Science: topic exploration, literature survey, experiments, paper writing, and integrity audit — driven by any coding agent.

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Python
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2026/8/23
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⚠️ 第三方软件声明

本 Skill 为第三方开源软件,独立托管于 GitHub。SkillTip 仅为信息目录,不控制或维护底层仓库。所显示的安全检查为自动化且范围有限,安装前请自行审查源码。

阅读服务条款

安装

添加到你的 Claude Code skills 目录:

# Add to your Claude Code skills
git clone https://github.com/ai4s-research/ai4s-skills

快速入门

使用 ai4s-skills 等 Skills 的指南。

安全报告

已验证

上次扫描:—

{
  "status": "PASSED",
  "issues": []
}

README.md

AI4S Skills — agent skills for AI for Science

Seven agent skills for AI-for-Science research — turn a research direction into literature surveys, runnable experiments, publication-grade papers, and integrity audits, with every citation, number, and figure traceable to its source.

English · 中文

License: MIT DOI 7 skills PRs Welcome linux.do


Contents

The skills

SkillRolePrimary output
ai4s-agentRuns the four skills below in orderthe full package
research-explorerExplore topics from a broad directionresearch_exploration.md, topic_matrix.md, literature_pre_survey.md
literature-surveyWrite a literature survey6–20 pp PDF, 60+ real citations, LaTeX source, topic-specific figures
experiment-suiteBuild an experiment packagedesign doc, runnable code, results.json with provenance, figures, report
paper-writerWrite a research paper8–14 pp PDF, 200+ citations, 4–8 figures, tables
mindmap-renderRender a mindmapimage from a topic_matrix.md (Python script)
integrity-auditorAudit a paper's integrityimage / numerical / logical findings, 4-level evidence grading, audit_report.md

Each skill is a folder with a SKILL.md plus its own references, templates, and tools. MIT-licensed; works with Claude Code, Cursor, Codex, and Aider.

How they connect

direction
   │
   ▼
[1] research-explorer ──▶ pick one $TOPIC
   │
   ├──▶ [2] literature-survey   → survey PDF + bibliography.bib
   ├──▶ [3] experiment-suite    → results.json + figures/
   └──▶ [4] paper-writer        → paper PDF  (reuses [2] and [3])

integrity-auditor ──▶ audits any paper: external PDF / DOI / arXiv, or [4]'s output

ai4s-agent runs steps 1–4 in order. Skills pass work to each other through a shared slug and the path output/<skill>/<slug>/latest/.

Authenticity

The focus of the project. Every skill enforces:

PrincipleIn practice
Real citationsEvery BibTeX entry links to a URL the agent fetched in the same session; none from memory.
Labelled numbersEvery number is marked measured, simulated, or illustrative; simulated values are never reported as measured.
Runnable experimentsexperiment-suite outputs runnable code and a results.json with provenance. Supply real results and they replace the simulated ones; the "simulated" disclosure is then removed.
Resumable runsLong tasks save progress after each step and continue from the last checkpoint, so a reported "done" reflects completed work.
Publication layoutReadable booktabs tables; final-size raster QA; vector-PDF figures with embedded fonts, shared color-safe styling, and no generic diagram-tool output.
Review disclosureEvery generated document states that domain-expert review is recommended.
Integrity checksintegrity-auditor inspects a paper for image, numerical, and logical problems and grades the evidence.

Example

A complete run from experiment-suite + paper-writer: "Learning the Burgers Solution Operator with a Fourier Neural Operator" — an 8-page paper backed by code the agent wrote and ran. Full artifact in examples/fno-burgers/ (paper, code, results.json, report).

paper page 1paper page 2paper page 3
paper page 4paper page 5paper page 6
The 8-page paper (first 6 pages) — click any page for the full PDF.
  • Real code, really runmodel.py is a 1-D FNO; the full study runs in ~35 min on a laptop CPU.
  • Measured results — FNO 4.41% rel-L2 vs MLP 21.63% and CNN 67.69% (3 seeds); zero-shot super-resolution holds 4.2–4.7% from grid 128 to 1024.
  • Real citations — 22 references, each traceable to its source.

Every number is measured (provenance in results.json); the paper states it was AI-generated and recommends domain-expert review.

Install

Run the installer from the project you want the skills in:

git clone https://github.com/ai4s-research/ai4s-skills

cd /path/to/your-project
/path/to/ai4s-skills/install.sh                              # all skills → ./.claude/skills
/path/to/ai4s-skills/install.sh paper-writer                 # or specific ones
SKILLS_DIR=~/.claude/skills /path/to/ai4s-skills/install.sh  # global instead

To install by hand, copy any skills/<name>/ into ~/.claude/skills/ (global) or <project>/.claude/skills/ (project).

Usage

In Claude Code:

Use the literature-survey skill to write a survey on <your topic>.

With Cursor, Codex, or Aider, point the agent at the skill file:

Read skills/literature-survey/SKILL.md and its references/, then produce the survey
for "<your topic>" as specified.

Each SKILL.md directs the agent to read its references/ first; those files hold the procedures for bibliography expansion, figures, layout, and quality checks.

Repository layout

ai4s-skills/
├── skills/
│   ├── ai4s-agent/          SKILL.md + references/
│   ├── research-explorer/   SKILL.md
│   ├── literature-survey/   SKILL.md + references/ + templates/survey/
│   ├── experiment-suite/    SKILL.md + references/ + figure_examples/
│   ├── paper-writer/        SKILL.md + references/ + templates/paper/
│   ├── mindmap-render/      SKILL.md + scripts/ + tests/
│   └── integrity-auditor/   SKILL.md + references/ + forensics_tools/ + templates/ + tests/
├── tools/validate_skills.py   structure / frontmatter validator (run in CI)
├── install.sh
└── .github/workflows/ci.yml

Each SKILL.md carries YAML frontmatter (name, description) so an agent can find and route to it.

Included tools

Small, single-purpose scripts the skills call. Each directory has its own requirements.txt.

  • skills/integrity-auditor/forensics_tools/ — image duplication / ORB matching, panel splitting, channel checks, magnitude (Benford-style) consistency, decimal matching, spreadsheet aggregate consistency.
  • skills/experiment-suite/figure_examples/ — a matplotlib style kit (style_kit.py) and worked figure examples.
  • skills/mindmap-render/scripts/generate_mindmap.py.

Contributing

A new skill needs:

  1. skills/<name>/SKILL.md with name and description frontmatter (name = folder name).
  2. Optional references/, templates/, and tools.
  3. No import anthropic / import openai.
  4. python tools/validate_skills.py passing (CI runs it on every PR).

See CONTRIBUTING.md and the Code of Conduct.

Citation

If you use AI4S Skills in your research, please cite it:

@software{ai4s_skills,
  author  = {{The AI4S Skills Contributors}},
  title   = {AI4S Skills: open-source agent skills for AI for Science},
  year    = {2026},
  version = {0.1.0},
  doi     = {10.5281/zenodo.21297455},
  url     = {https://github.com/ai4s-research/ai4s-skills},
  license = {MIT}
}

The DOI above cites all versions; GitHub's "Cite this repository" button (generated from CITATION.cff) provides the same reference in APA and BibTeX.

License

MIT.

Outputs are drafts. Review by a domain expert is recommended before any citation, submission, or decision. Verify numbers, citations, and claims.

Acknowledgments

Thanks to linux.do — a vibrant tech community where this project is shared and discussed.

常见问题

What is ai4s-skills?

ai4s-skills is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by ai4s-research. Open-source agent skills for AI for Science: topic exploration, literature survey, experiments, paper writing, and integrity audit — driven by any coding agent. It has 181 GitHub stars.

Is ai4s-skills safe to use?

Yes. ai4s-skills passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install ai4s-skills?

Clone the repository with "git clone https://github.com/ai4s-research/ai4s-skills" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is ai4s-skills written in?

ai4s-skills is primarily written in Python. It is open-source under ai4s-research on GitHub, so you can review or fork the full source.

Are there alternatives to ai4s-skills?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh ai4s-skills against similar tools.

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