Quality Assess Command

Perform a GRADE evidence quality assessment on a research source or finding.

Instructions

When invoked, perform systematic GRADE assessment:

1. Load Source

   • Accept REF-XXX identifier or file path
   • Load frontmatter metadata
   • Determine source type and baseline quality

2. Apply GRADE Framework

   • Evaluate 5 downgrade factors (bias, inconsistency, indirectness, imprecision, publication bias)
   • Evaluate 3 upgrade factors (large effect, dose-response, confounding)
   • Calculate final GRADE level

3. Generate Assessment

   • Fill assessment template per @.aiwg/research/docs/grade-assessment-guide.md
   • Include hedging language recommendations
   • Include applicability notes for AIWG context

4. Save Assessment

   • Save to .aiwg/research/quality-assessments/{ref-id}-assessment.yaml
   • Update frontmatter in source document if --update-frontmatter

5. Report

   • Display GRADE level with confidence statement
   • Show allowed vs forbidden hedging language
   • Flag any existing citations that violate the assessed quality level

Arguments

• [ref-id or file-path] - Source to assess (required)
• --output [yaml|markdown] - Output format (default: yaml)
• --update-frontmatter - Update source document frontmatter with assessment
• --check-citations - Also check existing citations of this source for GRADE compliance

References

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