peer-review
Skill10 starsChanged 5 days agoMITView on GitHub
Run an adversarial peer review of an engineering research artifact — brief, report, calculation set, or design document. Use when the user asks for "peer review", "critical review", "find weaknesses", or wants an independent assessment before submission. Produces severity-graded findings with evidence trails and a revision plan. Do NOT use for final approval — this skill identifies issues, it does not sign off.
47 other projects use a version of this.
Adopted by
Most recently taken up by
- BrightGold70/skillstheir own version, first seen Nov 8, 2026
- QSOLKCB/CLAUDE-SKILLS-AGItheir own version, first seen Nov 8, 2026
- pietz/skillstheir own version, first seen Nov 8, 2026
- K-Dense-AI/claude-scientific-writertheir own version, first seen Nov 7, 2026
- jerryctt/hostrunner-mcptheir own version, first seen Nov 1, 2026
- science-works/benchsidetheir own version, first seen Nov 1, 2026
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.
yf8578Skillusfiscaldata
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
garri333Skillresearch-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
garri333Skillarboreto
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
SoljournerSkillget-available-resources
Enumerate installed packages, databases, and tools for engineering workflows
Also in 10 projects that use this
- +8 more from garri333
Other versions47 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 47
- Norman-bury/research-writing-skill★ 3.4ksame name
- Norman-bury/articlewriting-skill★ 3.4ksame name
- K-Dense-AI/claude-scientific-writer★ 2.6ksame name
- wu-yc/LabClaw★ 1.1ksame name
- LeonChaoX/qinyan-academic-skills★ 910same name
- poemswe/co-researcher★ 135same name
- qinyan-ai/qinyan-academic-skills★ 80same name
- Barrios88/barrios-skills★ 63same name
- richard-kim-79/archora-skills★ 49same name
- a-lottes/aSPARK★ 25same name
37 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository28 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .github/copilot-instructions.mdCopilot instructions
- architecturalSkill
- artifact-readingSkill
- auditSkill
- civilSkill
- compareSkill
- design-alternativesSkill
- electricalSkill
- eli5Skill
- engineering-researchSkill
- evidence-rankingSkill
- fmea-brainstormSkill
- gap-analysisSkill
- habitSkill
- hypothesis-generationSkill
- mechanicalSkill
- proposalSkill
- research-to-postSkill
- reviewSkill
- scholarly-researchSkill
- simplified-technical-englishSkill
- softwareSkill
- standards-lookupSkill
- summarizeSkill
- verifierSkill
- vitruvius-helpSkill
- vitruviusSkill
The file
We split this skill into the rules it gives an agent
7 rules. 0 are common, 4 are distinctive, and 3 are very specific to this project.
0
Common
Most of the 38 edited versions we read keep these.
4
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 21
Run an independent adversarial review of an engineering artifact.
- Distinctive: line 25
Before searching, name the question, the artifact/scope (or say it is a literature review), the jurisdiction/edition, and the effort budget …
- Distinctive: line 45
Check code/standard applicability (right domain?
- Very specific: line 70
Every finding must be fully substantiated — a location you read plus evidence that supports it.
- Very specific: line 149
Write outputs/peer-review/<slug>.provenance.md beside the review (sources consulted, accepted, and rejected.
- Distinctive: line 155
Default-FAIL posture: every claim starts unverified, must be traced to source.
- Distinctive: line 156
Never soften a FATAL to MAJOR to avoid being harsh.
“Common” is measured: kept by at least 6 in 10 of the 38 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.
Files
<!-- VITRUVIUS-COMPILED-SKILL:BEGIN v1 sha256=e8ba0a7b5fcf45352100679e140369df1408b5d905b406a5dfa84808a3c23e71 -->Engineering Peer Review
Run an independent adversarial review of an engineering artifact. This skill reuses the engineering-research evidence discipline with a review-specific lens. The reviewer has NOT seen the author's reasoning — independence is the point.
Input Gate
Before searching, name the question, the artifact/scope (or say it is a
literature review), the jurisdiction/edition, and the effort budget (user-set or
thorough). Ask ONE clarifying question if the ask is too vague, then proceed.
See references/input-gate.md.
Invocation
/peer-review <artifact description or path>Attach or point to: research brief, design document, calculation set, or report.
Methodology
- Identify artifact and claims — what is it, what does it claim, what standard/code governs it? List every critical claim, number, and citation.
- Verify load-bearing items — for each critical claim:
- Trace to source (standard + section + line, or URL)
- Re-derive any calculation from stated formula, inputs, and units
- Check code/standard applicability (right domain? right edition? right jurisdiction?)
- Confirm the source actually supports the claim at the pinned location
Sweep the strength-side checks — the routine, labor-intensive scrutiny the study credits AI reviewers with doing better than time-pressed humans (arXiv:2605.20668, S1/S4/S5):
- Numerical and methodological rigor (S1) — data/sample independence behind each quantitative claim, calibration vs. validation splits, uncertainty reporting (error bars, tolerances, confidence).
- Internal consistency across sections (S4) — summary numbers match the body, conclusions match results, units and notation agree wherever a value reappears.
- Reproducibility and dependencies (S5) — could a reader rebuild the result from the stated inputs, versions, and editions? Name the missing piece.
Report what each sweep cleared in Strengths — a clean sweep is a result, not the absence of findings.
Produce severity-graded findings:
- FATAL — unsafe, non-compliant, or unsupported; must fix before use
- MAJOR — likely wrong or a real gap; fix before finalizing
- MINOR — clarity, consistency, polish
- Each finding cites the specific section/line/claim it targets
Every finding must be fully substantiated — a location you read plus evidence that supports it. An empty tier is a valid result: write
nonerather than padding to a count.Ground severity in the artifact's own claims and stated limitations: a step it never claimed to take is a scope note, not a FATAL. For a FATAL, state the strongest defense and the evidence that rules it out — a FATAL without a refuted defense is a suspicion, not a FATAL.
- Check what was NOT verified — mark
blockedwhere the source could not be read. Never let a missing check read as a pass. - Write a revision plan — prioritized, concrete steps per finding.
Output
Inline Summary (chat response)
- Artifact scope and claim count
- FATAL / MAJOR / MINOR counts
- Top 3 issues with evidence trails
- Overall revision risk assessment
Full Review (saved to disk)
Save to outputs/peer-review/<slug>.md:
# Peer Review: <artifact>
## Summary Assessment
- **Artifact type:** <brief/design/calc set/report>
- **Claims reviewed:** <count>
- **FATAL:** <count> | **MAJOR:** <count> | **MINOR:** <count>
- **Revision risk:** low / medium / high
## Strengths
- <tied to specific evidence>
## Findings
### FATAL
#### F1: <title>
- **Location:** <section/line>
- **Issue:** <specific problem>
- **Evidence:** <source that contradicts or gap>
- **Fix:** <concrete action>
### MAJOR
#### M1: <title>
- **Location:** <section/line>
- **Issue:** <specific problem>
- **Evidence:** <source>
- **Fix:** <concrete action>
### MINOR
#### m1: <title>
- **Location:** <section/line>
- **Issue:** <specific problem>
- **Suggestion:** <improvement>
## Verification Status
- **Verified:** <count> claims traced to source
- **Blocked:** <count> claims (source unreachable)
- **Unverified:** <count> claims (default, not yet checked)
## Revision Plan
1. <FATAL fix — highest priority>
2. <FATAL fix>
3. <MAJOR fix>
4. <MINOR fix — if time permits>
## Evidence Trail (Line-Pinned)
| # | Finding | Source | Location (§/line) | Verdict |
|---|---------|--------|-------------------|---------|
| 1 | <flaw> | <source> | <§section or line> | contradicts / partially supports / missing |Write outputs/peer-review/<slug>.provenance.md beside the review (sources consulted, accepted, and rejected; verification status). Minimal shape: references/provenance-sidecar.md.
Scope and Boundaries
- This skill identifies issues — it does NOT approve or sign off. Final engineering sign-off requires a licensed engineer.
- Research-only, not for final engineering sign-off.
- Default-FAIL posture: every claim starts unverified, must be traced to source.
- Never soften a FATAL to MAJOR to avoid being harsh. Engineering accountability requires honest verdicts.
- Evidence quality: see
references/evidence-quality-tiers.md.
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