research-claim-fidelity-reviewer
OfficialEnhance post publication quality with a severity-weighted review method.
Education & Research#technical review#content evaluation#research quality#AI-driven review#post publication
AuthorChronoAIProject
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a systematic review process for research and technical posts, ensuring clarity, fidelity, and quality before publication.
Core Features & Use Cases
- Technical Review: Offers a structured method to evaluate hook strength, thread arc, AI vocabulary, source fidelity, claim support, and numeric-claim verification.
- Severity-Based Feedback: Provides severity-weighted feedback (BLOCK, WARN, OK) to guide post improvement.
- Use Case: Use this Skill to review research threads or technical announcements, ensuring they meet publication standards before they go live.
Quick Start
Use the research-claim-fidelity-reviewer skill to review the draft text 'thread-draft.md' for publication readiness.
Dependency Matrix
Required Modules
None requiredComponents
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: research-claim-fidelity-reviewer Download link: https://github.com/ChronoAIProject/nyx-skills/archive/main.zip#research-claim-fidelity-reviewer Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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