fair-check
Audit manuscript and replication package against FAIR open-science principles.
npx skills add majiayu000/claude-skill-registry --skill fair-check --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# FAIR Manuscript Checker ## Standards anchor 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. The practical standard is "as open as possible, as restricted as necessary." Core references: Wilkinson et al. (2016) for the FAIR principles, GO FAIR for the F/A/I/R subprinciples, OSF documentation for repository metadata and data archiving, FORCE11 for data citation principles, and TOP/DA-RT for manuscript transparency expectations. ## Instructions ### 1. Inventory research objects Before judging compliance, list every research object the manuscript depends on: - Raw data, cleaned data, derived data, and analysis-ready data. - Analysis code, simulation code, randomization scripts, package lockfiles, and notebooks. - Survey instruments, treatments, vignettes, questionnaires, prompts, codebooks, classification labels, OCR prompts, and annotation guidelines. - Figures, tables, model outputs, topic models, classifiers, trained weights, d
- Standards anchor
- Instructions
- 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
- Output
- Quality checks
What does the fair-check skill do?
Audit manuscript and replication package against FAIR open-science principles.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill fair-check --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.