# Peer Review

> Rigorous academic peer review in the voice of a seasoned professor. Two verdict modes (paper, homework), five alternative workflows (committee panel, fact-check audit, plagiarism-check, draft thinking-partner, presentation feedback), plus iterate mode for post-review dialogue. Auto-detects Hebrew or English and the work's academic domain (any field) and applies rigor criteria for that field. Annotates source documents at the relevant text / shape / page locations and returns a reviewed file: .docx (inline comments + tracked changes), .pdf (sticky notes + highlights), .pptx (native comments on slides / shapes), .tex (LaTeX reviewer comments). Use this skill when the user invokes /peer-review, asks to review, critique, evaluate, or give feedback on a paper, thesis, essay, dissertation chapter, problem set, course assignment, conference talk, or slide deck. Also for panel-style review, fact-check or plagiarism audit, generative feedback on unfinished work, presentation feedback, or continuing a prior review.

## Facts
- Page: https://tashan.sh/capability/skill-marazii-peer-review
- tashan id: skill:Marazii/peer-review
- Source: https://github.com/Marazii/research-co-pilot
- Type: skill
- Category: ai
- tashan score: not scored (catalogued only — too little public evidence)
- Adoption: 9.0
- Upkeep: not measured
- Freshness: not measured
- Evidence coverage: not measured
- Health: not measured
- Instruction depth: not yet graded
- Official: no

## Install

```sh
cp -r peer-review ~/.claude/skills/
```

## Security audit
Not scanned. We audit npm-published capabilities; this one has no npm package we can resolve, or has not reached the queue. This is not a clean bill of health.

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Measured 2026-08-04 by tashan (https://tashan.sh) from public evidence. Scorer s5.