Audit manuscript and replication package against FAIR open-science principles.

Custom licenceAuto-check passedResearch & Science

Install Fair Check

skills CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill fair-check -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills fair-check --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/54-scdenney-open-science-skills/skills/fair-check .claude/skills/fair-check && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
fair-check
GitHub stars
4.6k
Token cost
~2k tokens
SKILL.md length
893 words
Files
1
Skills in repo
383
Repo updated
First seen
Licence
Custom licence

At a glance

Audit manuscript and replication package against FAIR open-science principles.

  • Works in 7 steps: Inventory research objects → Check Findable → Check Accessible → …
  • Tasks that involve Reproducible research
  • SKILL.md covers Standards anchor, Instructions, Output and Quality checks
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Fair Check is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Audit manuscript and replication package against FAIR open-science principles.

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Reproducible research and Econometrics and empirical research. The repository describes itself as: 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI…

When your agent uses it

  • Tasks that involve Reproducible research
  • Tasks that involve Econometrics and empirical research

Example prompts

  • “/fair-check”

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Inventory research objects
  2. Check Findable
  3. Check Accessible
  4. Check Interoperable
  5. Check Reusable
  6. Audit manuscript statements
  7. Compose with sibling skills

What it can do on your machine

Read from SKILL.md and the folder at commit 9fa87d8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Fair Check loads about 2k tokens when it runs. Until then it costs about 22 tokens; SKILL.md has 893 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~22
When it runs · the whole SKILL.md, loaded when a task matches
~2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 893 words (~2,036 tokens).

“Use the FAIR principles as manuscript-facing checks for research objects: Findable, Accessible, Interoperable, Reusable. FAIR does not mean everything must be openly downloadable. Sensitive or restricted data can be FAIR when metadata, access conditions, identifiers, and reuse terms are explicit…”

— opening of SKILL.md by brycewang-stanford, Custom licence
name
fair-check
argument-hint
[path to manuscript and replication package, or paste availability statements and repository links]

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/54-scdenney-open-science-skills/skills/fair-check of brycewang-stanford/Auto-Empirical-Research-Skills.

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

Fair Check next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Fair Check compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Fair Check this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.6k—~2kAutomated safety check: PassCustom licence
Replication Packagepedrohcgs/claude-code-my-workflow1.7k—~2.8kAutomated safety check: NotesMIT
Audit Reproducibilitypedrohcgs/claude-code-my-workflow1.7k—~6.4kAutomated safety check: NotesMIT
Scholar Openjoshzyj/open-scholar-skill168—~14kAutomated safety check: PassCustom licence
Ecta Replication Packagefranklee16/academic-research-skills2231 repos~1.8kAutomated safety check: PassNone
Ectheory Replication And Data Policyfranklee16/academic-research-skills2231 repos~983Automated safety check: PassNone

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Questions about Fair Check

What does Fair Check do?

Audit manuscript and replication package against FAIR open-science principles. Fair Check is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Audit manuscript and replication package against FAIR open-science principles.

When should I use Fair Check?

Fair Check fits situations like: tasks that involve Reproducible research; tasks that involve Econometrics and empirical research.

How do I install Fair Check in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill fair-check -a claude-code`. Or copy the skill folder (skills/54-scdenney-open-science-skills/skills/fair-check in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/fair-check in your project. Claude Code loads it when a task matches its description.

How do I install Fair Check in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill fair-check -a codex`. Or copy the skill folder (skills/54-scdenney-open-science-skills/skills/fair-check in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/fair-check in your project. Codex loads it when a task matches its description.

Can I use Fair Check in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill fair-check -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fair-check, .gemini/skills/fair-check, .github/skills/fair-check and .opencode/skills/fair-check in your project.

What does Fair Check need to run?

SKILL.md names no scripts, command-line tools or credentials: Fair Check is instructions for the agent only.

Does Fair Check access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Fair Check safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Fair Check use?

Fair Check has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Fair Check use?

About 2k tokens (SKILL.md is roughly 8.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Fair Check?

Skills that share tags, products or a category with Fair Check: Replication Package (pedrohcgs/claude-code-my-workflow, 1.7k stars), Audit Reproducibility (pedrohcgs/claude-code-my-workflow, 1.7k stars), Scholar Open (joshzyj/open-scholar-skill, 168 stars) and Ecta Replication Package (franklee16/academic-research-skills, 223 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Fair Check?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,556 GitHub stars. The repository holds 383 skills in this directory. The repository was last updated on October 5, 2026.

Source: brycewang-stanford/Auto-Empirical-Research-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.