nw-dr-review-criteria
SolidCritique dimensions, severity framework, verdict decision matrix, and review output format for documentation assessment reviews
Code & Development 526 stars
55 forks Updated 1 weeks ago MIT
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Quality Score: 92/100
Stars 20%
Recency 20%
Frontmatter 20%
Documentation 15%
Issue Health 10%
License 10%
Description 5%
Skill Content
# Documentation Review Criteria
## Critique Dimensions
### 1. Classification Accuracy
Verify type assignment against DIVIO decision tree.
Questions: Do cited signals support assigned type? | Contradicting signals ignored? | Confidence appropriate? | Decision tree leads to same classification?
Verification: 1) Run decision tree independently 2) Check positive signals present 3) Check for red flags 4) Verify confidence matches signal strength
Severity: if wrong classification leads to wrong verdict = blocking.
### 2. Validation Completeness
Verify all type-specific criteria checked. Questions: All items checked? | Pass/fail correct? | Issues properly located? | Any criteria missed?
**Tutorial** (required): completable without external refs | steps numbered/sequential | verifiable outcomes | no assumed knowledge | builds confidence
**How-to** (required): clear goal | assumes fundamentals | single task | completion indicator | no basics teaching
**Reference** (required): all params documented | return values | error conditions | examples | no narrative
**Explanation** (required): addresses "why" | context/reasoning | alternatives considered | no task steps | conceptual model
### 3. Collapse Detection Correctness
Verify all five anti-patterns checked with accurate findings.
- Tutorial creep: explanation >20% | How-to bloat: teaching basics | Reference narrative: prose in entries
- Explanation task drift: steps in explanation | Hybrid horror: 3+ quadrants
Verificatio...
Details
- Author
- nWave-ai
- Repository
- nWave-ai/nWave
- Created
- 3 months ago
- Last Updated
- 1 weeks ago
- Language
- Python
- License
- MIT
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