Agent skill · Data & Analytics

pnasnexus-data

Use to build PNAS Nexus's Data and Code Availability — mandatory public-repository deposition of all materials, data, code, and protocols upon publication, retention of raw unprocessed images, accession numbers/DOIs, the [dataset] citation tag, and a compliant availability statement. "Available on request" alone is not sufficient, and failure can be grounds for rejection or retraction.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill pnasnexus-data --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 6 KB
Bundled scripts: none
Path: PNAS-Nexus-Skills/skills/pnasnexus-data/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Data & Code Availability (pnasnexus-data) ## When to trigger - There is no **Data Availability Statement**, or it says only "available on request". - Sequences/structures/datasets are not deposited or have no accession numbers. - Custom analysis code or scripts are not in a public, archived repository. - Raw, unprocessed image files have been discarded. - Unique reagents/strains/cell lines have no sharing plan. ## PNAS Nexus's standard (the bar is strict, with teeth) PNAS Nexus has a **mandatory** open-data/open-code policy. In the journal's own words: - *"Authors must make all materials, data, and associated protocols, including code and scripts, used in the analysis of the study available to readers in a **public repository upon publication**."* - *"Authors agree to make all data and code used in the analysis of their study fully available upon request during the peer review process or upon publication."* - *"All data and any direct outputs from imaging systems must be retained in their **raw, unprocessed versions**."* - *"Failure or refusal to provide data upon request may be grounds for **rejection of the manuscript or retraction of the article**."* So: **public-repository de

What's inside
Steps it walks through
  1. When to trigger
  2. PNAS Nexus's standard (the bar is strict, with teeth)
  3. Deposit in approved repositories (with accessions)
  4. Cite data and software properly: the [dataset] tag
  5. Data & Code Availability Statement (template)
  6. Where the statement and the data live
  7. Materials & reagents
  8. Ethics & compliance (as applicable)
  9. Output format
  10. Anti-patterns
More from Awesome-Journal-Skills
All skills →
About this skill
What does the pnasnexus-data skill do?

Use to build PNAS Nexus's Data and Code Availability — mandatory public-repository deposition of all materials, data, code, and protocols upon publication, retention of raw unprocessed images, accession numbers/DOIs, the [dataset] citation tag, and a compliant availability statement. "Available on request" alone is not sufficient, and failure can be grounds for rejection or retraction.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill pnasnexus-data --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 brycewang-stanford/Awesome-Journal-Skills, a repository with 909 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.

Keep going