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review-log

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Identify stuck hypotheses from run logs.

Education & Research#automation#logs#evaluation#review#hypotheses#research-review#run-tracking
Authorqualit527
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Read and evaluate runs/<id>/log.md to detect narrative coherence issues, identify stuck hypotheses, and surface signs of overfitting, then generate a formal review.

Core Features & Use Cases

  • Structured review generation: reads log.md and writes runs/<id>/review.md.
  • Stuck-hypothesis detection: highlights hypotheses that recur across rounds.
  • Overfitting signals: flags improvements on training metrics that do not transfer to holdout data.
  • Actionable guidance: provides top insights and recommended next steps for researchers.

Quick Start

Run python -m cli.autoqec review-log <run_dir> to generate a structured review and save it to runs/<id>/review.md.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 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: review-log
Download link: https://github.com/qualit527/qec-ai-decoder/archive/main.zip#review-log

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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