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adeerkhanadeerkhan/vitruvius/skills/peer-review/SKILL.md

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.

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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.
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  • garri333Skill

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  • +8 more from garri333

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
  1. Very specific:

    Run an independent adversarial review of an engineering artifact.

    line 21
  2. Distinctive:

    Before searching, name the question, the artifact/scope (or say it is a literature review), the jurisdiction/edition, and the effort budget …

    line 25
  3. Distinctive:

    Check code/standard applicability (right domain?

    line 45
  4. Very specific:

    Every finding must be fully substantiated — a location you read plus evidence that supports it.

    line 70
  5. Very specific:

    Write outputs/peer-review/<slug>.provenance.md beside the review (sources consulted, accepted, and rejected.

    line 149
  6. Distinctive:

    Default-FAIL posture: every claim starts unverified, must be traced to source.

    line 155
  7. Distinctive:

    Never soften a FATAL to MAJOR to avoid being harsh.

    line 156

“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.

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

  1. Identify artifact and claims — what is it, what does it claim, what standard/code governs it? List every critical claim, number, and citation.
  2. 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
  3. 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.

  4. 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 none rather 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.

  5. Check what was NOT verified — mark blocked where the source could not be read. Never let a missing check read as a pass.
  6. 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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