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Aiwg grade-report

Generate corpus-wide GRADE quality distribution report

install
source · Clone the upstream repo
git clone https://github.com/jmagly/aiwg
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/jmagly/aiwg "$T" && mkdir -p ~/.claude/skills && cp -r "$T/agentic/code/frameworks/sdlc-complete/skills/grade-report" ~/.claude/skills/jmagly-aiwg-grade-report-ca3a00 && rm -rf "$T"
manifest: agentic/code/frameworks/sdlc-complete/skills/grade-report/SKILL.md
source content

GRADE Report Command

Generate a report on the evidence quality distribution across the research corpus.

Instructions

When invoked, analyze and report on corpus quality:

  1. Scan Quality Assessments

    • Load all assessments from 
      .aiwg/research/quality-assessments/
    • Load frontmatter quality fields from all sources

  2. Calculate Distribution

    • Count sources by GRADE level (HIGH, MODERATE, LOW, VERY LOW)
    • Count sources by source type
    • Identify unassessed sources

  3. Generate Report

    • Summary table: GRADE distribution
    • Source type breakdown
    • Unassessed sources list
    • Hedging compliance summary (overclaiming count)
    • Recommendations for corpus improvement

  4. Save Report

    • Display to user
    • Optionally save to 
      .aiwg/reports/grade-report.md

Arguments

  • --brief
    - Show summary only
  • --unassessed
    - Show only unassessed sources
  • --save
    - Save report to 
    .aiwg/reports/grade-report.md

References

  • @.aiwg/research/docs/grade-assessment-guide.md - GRADE methodology
  • @$AIWG_ROOT/agentic/code/frameworks/sdlc-complete/agents/quality-assessor.md - Quality Assessor
  • @$AIWG_ROOT/agentic/code/frameworks/sdlc-complete/schemas/research/quality-dimensions.yaml - Quality schema