Free SKILL.md scraped from GitHub. Clone the repo or copy the file directly into your Claude Code skills directory.
npx versuz@latest install jmagly-aiwg-plugins-codex-sdlc-skills-grade-on-ingestgit clone https://github.com/jmagly/aiwg.gitcp aiwg/SKILL.MD ~/.claude/skills/jmagly-aiwg-plugins-codex-sdlc-skills-grade-on-ingest/SKILL.md---
namespace: aiwg
name: grade-on-ingest
platforms: [all]
description: Trigger GRADE quality assessment automatically when new research sources or findings enter the corpus
---
# GRADE-on-Ingest
Automatically triggers GRADE quality assessment when new research sources or findings are added to the corpus.
## Triggers
Alternate expressions and non-obvious activations (primary phrases are matched automatically from the skill description):
- "GRADE" → evidence quality rating framework
- "quality of evidence" → GRADE assessment
- "evidence level" → source quality grading
## Purpose
Ensures every research source entering the corpus receives a GRADE quality assessment at ingestion time, preventing unassessed sources from being cited without quality context. Implements the "assess at entry" pattern to maintain corpus-wide quality visibility.
## Activation Conditions
This skill activates when:
1. **New file created** in `.aiwg/research/sources/` or `.aiwg/research/findings/`
2. **File pattern matches**: `REF-*.md`, `*.pdf` added to research directories
3. **Agent activity**: Any agent writes to research corpus directories
4. **Manual trigger**: User requests source assessment
### Skip Conditions
- File is in `.aiwg/research/quality-assessments/` (already an assessment)
- File is `INDEX.md` or `README.md`
- File is a schema or template (`*.yaml` in schemas/)
- Assessment already exists for this REF-ID
## Behavior
When a new research source is detected:
1. **Extract metadata**
- Parse YAML frontmatter from source document
- Extract `ref_id`, `title`, `authors`, `year`, `source_type`
- If frontmatter missing, prompt agent to add it
2. **Determine baseline quality**
- Map source type to GRADE baseline:
- `peer_reviewed_journal` -> HIGH
- `peer_reviewed_conference` -> HIGH
- `preprint` -> MODERATE
- `technical_report` -> MODERATE
- `industry_whitepaper` -> LOW
- `blog_post` -> VERY LOW
- `forum_discussion` -> VERY LOW
3. **Invoke Quality Assessor**
- Delegate to Quality Assessor agent for full GRADE assessment
- Pass source metadata and content
- Request assessment in YAML format
4. **Store assessment**
- Save to `.aiwg/research/quality-assessments/{ref-id}-assessment.yaml`
- Update source frontmatter with `grade_level` field (if `--update-frontmatter`)
5. **Update corpus index**
- Add entry to quality assessment index
- Update GRADE distribution statistics
- Flag if corpus has > 30% unassessed sources
6. **Report**
- Display assessment summary to user
- Include hedging language recommendations
- Warn if source quality is LOW or VERY LOW
## Agent Orchestration
- **Primary**: Quality Assessor (performs the assessment)
- **Supporting**: Citation Verifier (validates existing citations of this source after assessment)
- **Notification**: Technical Writer, Documentation Synthesizer (if source is cited in existing docs, notify of GRADE level)
## Integration
### With Citation Guard
After assessment completes, Citation Guard uses the GRADE level to enforce hedging:
```yaml
integration:
citation_guard:
action: update_grade_cache
data: new_assessment
```
### With Research Metadata
Assessment populates fields required by research metadata rules:
```yaml
integration:
research_metadata:
fields_populated:
- quality_assessment.grade_level
- quality_assessment.baseline
- quality_assessment.downgrade_factors
- quality_assessment.upgrade_factors
```
### With Provenance Tracking
Assessment activity recorded in provenance chain:
```yaml
integration:
provenance:
activity_type: quality_assessment
agent: quality-assessor
```
## Configuration
```yaml
skill:
name: grade-on-ingest
type: passive
always_active_for:
- quality-assessor
- technical-researcher
- citation-verifier
file_triggers:
- pattern: ".aiwg/research/sources/REF-*.md"
- pattern: ".aiwg/research/findings/REF-*.md"
auto_assess: true
update_frontmatter: false # Requires --update-frontmatter flag
notify_on_low_quality: true
block_on_missing_frontmatter: false
```
## Output Locations
- Assessment: `.aiwg/research/quality-assessments/{ref-id}-assessment.yaml`
- Updated frontmatter: Source document (if `--update-frontmatter`)
- Index update: `.aiwg/research/quality-assessments/INDEX.md`
## References
- @$AIWG_ROOT/agentic/code/frameworks/sdlc-complete/agents/quality-assessor.md - Assessment agent
- @.aiwg/research/docs/grade-assessment-guide.md - GRADE methodology
- @$AIWG_ROOT/agentic/code/frameworks/sdlc-complete/schemas/research/quality-dimensions.yaml - Quality schema
- @$AIWG_ROOT/agentic/code/frameworks/sdlc-complete/rules/research-metadata.md - Metadata requirements
- @$AIWG_ROOT/agentic/code/frameworks/sdlc-complete/rules/citation-policy.md - Citation policy
- @$AIWG_ROOT/agentic/code/frameworks/sdlc-complete/skills/citation-guard/SKILL.md - Citation guard