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name: quality_filter description: Academic paper quality filtering agent with rigorous scoring system and comprehensive audit trail. Filters papers based on relevance and quality criteria for research workflows. author: Claude (克劳德) version: 1.0.0

Quality Filter Skill

This skill provides systematic quality filtering for academic papers with a rigorous scoring system and complete audit trail for research workflows.

Capabilities

• Relevance Scoring: Evaluates paper relevance based on title and abstract keywords
• Quality Assessment: Assesses technical quality and experimental rigor
• Comprehensive Logging: Maintains detailed records of all filtering decisions
• Manual Recall Support: Preserves filtered papers for potential human review
• Local File Storage: Saves all results to organized directory structure

Filtering Criteria

Relevance Scoring (Max 3 points)

• Strong Match (+3): Title contains "music" or "song" keywords
• Medium Match (+2): Title contains "audio" + "generation"
• Weak Match (+1): Title has weak but related keywords
• Negative Scoring: Abstract verification can subtract points (-1 to -3)

Quality Assessment (Max 3 points)

• High Quality (+3): Complete experiments, multiple baselines, strong results
• Medium Quality (+2): Experiments present but limited baseline comparison
• Low Quality (+1): Limited technical contribution or incomplete evaluation

Pass Threshold

• Minimum Score: 6/10 points required to pass filtering
• Strong Relevance Override: Papers with clear "music/song generation" focus may pass with lower scores

Workflow Integration

This skill integrates with the broader research workflow:

1. Input: Raw paper list from arXiv search
2. Processing: Applies scoring system to each paper
3. Output: Categorizes papers as "passed" or "filtered"
4. Audit Trail: Maintains complete record for manual recall

Output Format

Local File Storage

• Main Log: research/{domain}/quality_filtering/quality_filtering_log.md
• Append Mode: All results appended to single comprehensive file
• Directory Structure: Automatically created if missing

Log Structure

Each filtering session includes:

• Session Header: Date, domain, search parameters
• Scoring Standards: Detailed criteria used
• Individual Paper Results: Title, authors, score breakdown, decision
• Summary Statistics: Pass/fail counts, score distribution
• Manual Recall Section: List of filtered papers available for human review

Usage Examples

# Filter music generation papers
quality_filter --domain "music_generation" --papers "[paper_list]" --date "2026-02-28"

# Filter with custom threshold
quality_filter --domain "speech_audio" --threshold 5 --papers "[paper_list]"

Files Created

• research/{domain}/quality_filtering/quality_filtering_log.md (append mode)
• Directory structure automatically created if missing

Audit Trail Requirements

All filtering decisions must include:

• Complete score breakdown (relevance + quality components)
• Clear pass/fail rationale
• Preservation of filtered papers for manual recall
• Timestamp and session context