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[BOUNTY #1] Multi-Dimensional Quality Scoring Algorithm#11

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DebuggingMax wants to merge 1 commit intoMint-Claw:mainfrom
DebuggingMax:feature/quality-scorer
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[BOUNTY #1] Multi-Dimensional Quality Scoring Algorithm#11
DebuggingMax wants to merge 1 commit intoMint-Claw:mainfrom
DebuggingMax:feature/quality-scorer

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Summary

Implements the Multi-Dimensional Quality Scoring algorithm for Issue #1.

Features

Auto-detect format (JSON, markdown, code, text)
5 weighted dimensions:

  • Completeness (0.30)
  • Format Compliance (0.20)
  • Coverage (0.25)
  • Clarity (0.15)
  • Validity (0.10)

Output schema:

{
  "weighted_score": 0.0-1.0,
  "quality_rating": "A"/"B"/"C"/"D"/"F",
  "scores": {"completeness": float, ...},
  "feedback": ["string", ...],
  "pass_threshold": bool
}

Performance

🚀 100 submissions in 0.009s (requirement: <10s)

Tests

  • 54 comprehensive unit tests
  • 20+ sample scorecards
  • All tests passing ✅

Bonus

🎁 NLP-style feedback generation per dimension

Files Added

  • quality_scorer.py - Main scoring module
  • test_quality_scorer.py - Comprehensive test suite

Closes #1

Implements Issue Mint-Claw#1 bounty requirements:
- Auto-detect format (JSON, markdown, code, text)
- 5 weighted dimensions: Completeness (0.30), Format Compliance (0.20), Coverage (0.25), Clarity (0.15), Validity (0.10)
- Output: {weighted_score, quality_rating, scores, feedback, pass_threshold}
- Performance: 100 submissions in <0.01s (requirement: <10s)
- 54 comprehensive tests with 20+ sample scorecards

Bonus: NLP-style feedback generation per dimension
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[BOUNTY $10] Multi-Dimensional Quality Scoring for Structured Outputs

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