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lengrufeng2008lengrufeng2008/dsh-skill-library/skills/peer-review/SKILL.md

peer-review

Skill0 starsChanged 15 days agoMITView on GitHub

Assess claim, method, evidence, and reproducibility, not prose style.

49 other projects use a version of this.

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Used with

Projects with it also use usfiscaldata, research-grants and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • yf8578Skill

    usfiscaldata

    Query the U.S. Treasury Fiscal Data API for federal financial data including national debt, government spending, revenue, interest rates, exchange rates, and savings bonds. Access 54 datasets and 182 data tables with no API key required. Use when working with U.S. federal fiscal data, national debt tracking (Debt to the Penny), Daily Treasury Statements, Monthly Treasury Statements, Treasury securities auctions, interest rates on Treasury securities, foreign exchange rates, savings bonds, or any U.S. government financial statistics.

    Also in 7 projects that use this

  • garri333Skill

    research-grants

    Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements.

    Also in 11 projects that use this

  • garri333Skill

    arboreto

    Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.

    Also in 10 projects that use this

  • SoljournerSkill

    get-available-resources

    Enumerate installed packages, databases, and tools for engineering workflows

    Also in 10 projects that use this

  • +8 more from garri333

The file

We split this skill into the rules it gives an agent

3 rules. 0 are common, 3 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 40 edited versions we read keep these.

  • 3

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Every citation resolves and supports the claim.

    line 24
  2. Distinctive:

    No fabricated sources, data, or test results.

    line 31
  3. Distinctive:

    If the task falls outside the method, say so and stop.

    line 32

“Common” is measured: kept by at least 6 in 10 of the 40 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Peer review

Use

Apply this when the task matches the description. Keep the output decision-useful and mark unknowns.

Method

  1. State the question and prior work.
  2. Separate source, observation, and inference.
  3. Record uncertainty and method limits.
  4. Make the result reproducible.

Focus: Peer review.

Verification

  • Every citation resolves and supports the claim.
  • Commands/data are sufficient to rerun.
  • State clearly what was not verified.

Boundaries

  • This is a checklist, not proof of correctness.
  • No fabricated sources, data, or test results.
  • If the task falls outside the method, say so and stop.

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