Individual skill
peer-review-engine
Activate when the user wants to simulate a double-blind peer review of their paper before submission or before sharing with co-authors. Reads the current draft (draft.md or paper.tex), generates 2 independent reviewer reports in the style of top IS/CS conferences (ICIS, ECIS, MISQ level), and saves the output as simulated_reviews.md. The output is formatted to serve as direct input for /respond-reviewers (review-engine feedback loop).
skills/peer-review-engine/SKILL.md
Source commit 160df4d13d266411f0850c4de7ecdbd93e8b40be
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Instructions only
- Last checked
- Nov 11, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 20
- Repository last updated
- Apr 10, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- academic-writing Repository topic
- arxiv Repository topic
- claude Repository topic
- claude-code Repository topic
- claude-code-plugin Repository topic
- claude-skills Repository topic
- constitutional-ai Repository topic
- mcp Repository topic
- open-science Repository topic
- paper-generation Repository topic
- research Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 20,315 bytes
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> **Orchestration Log**: When this skill is activated, append a log entry to `outputs/orchestration_log.md`:
> ```
> ### Skill Activation: Peer Review Engine
> **Timestamp:** [current date/time]
> **Actor:** AI Agent (peer-review-engine)
> **Input:** [paper source: draft.md / paper.tex, word count, number of sections]
> **Output:** 2 simulated reviewer reports saved to simulated_reviews.md
> **Recommendation distribution:** [R1: recommendation, R2: recommendation]
> ```
# Peer Review Engine
## Core Principle
