Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Peer Reviewer
AI-powered academic paper reviewer. Uses a multi-agent system (Deconstructor, Devil's Advocate, Judge) to analyze papers for logical flaws, contradictions, and empirical validity.
skill openclawclawhub Free
AI-powered academic paper reviewer. Uses a multi-agent system (Deconstructor, Devil's Advocate, Judge) to analyze papers for logical flaws, contradictions, and empirical validity.
β¬ 0 downloads β
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SKILL.md, package.json, src/adapters/arxiv.ts, src/adapters/file_storage.ts, src/adapters/openclaw_llm.ts
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- sschepis
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Peer Reviewer
A rigorous academic review system that uses multiple AI agents to deconstruct, attack, and judge scientific papers.
When to use
Use this skill when: The user asks to "review this paper" or "find flaws in this logic". You need to check an academic paper for contradictions with established literature. You want a "Reviewer 2" style critique of a text.
How to use
Run the tool via the Node.js CLI in the installation directory. Directory: /Users/sschepis/Development/peer-reviewer
Command
node dist/index.js "<path_to_paper_or_raw_text>"
Arguments
path_to_paper_or_raw_text: either a file path (absolute or relative to the package root) OR the raw text of the paper/claim.
Output
The tool outputs a "Merit Report" in JSON format, containing: overallScore (0-10) defenseStrategy suggestions (list of improvements) dimensions (scores for logic, novelty, etc.)
Examples
Review a local file: cd /Users/sschepis/Development/peer-reviewer node dist/index.js "/Users/sschepis/Desktop/research/draft_v1.txt" Review a raw claim: cd /Users/sschepis/Development/peer-reviewer node dist/index.js "Claim: P=NP because I can solve Traveling Salesman in O(1) by guessing."
Configuration
Ensure google.json is present in the root directory or GOOGLE_APPLICATION_CREDENTIALS is set if running in a new environment.
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Scripts2 Docs1 Config
- SKILL.md
- README.md
- src/adapters/arxiv.ts
- src/adapters/file_storage.ts
- src/adapters/openclaw_llm.ts
- package.json