// Quality standards for structured deliverables, ensuring data is verifiable and traceable
Naming conventions for artifact kind and path, ensuring data can be aggregated and analyzed
CEO checks consistency of agent outputs during post-completion review
Methodology for market research and data collection, ensuring data quality and source traceability
wanman CLI command reference — inter-agent communication, task management, artifact storage
File and output conventions for agent workspaces
| name | artifact-quality |
| description | Quality standards for structured deliverables, ensuring data is verifiable and traceable |
Every artifact's metadata must include:
| Field | Type | Description |
|---|---|---|
source | string | Data source identifier |
confidence | number (0-1) | Confidence score |
training_data → From model training data (lowest confidence)
estimate → Extrapolated from known data
web_search:<domain> → Web search result, specify the domain
government_data → Official government data
industry_report → Industry report
api:<service> → API call result
cross_validated → Cross-validated
0.9+ → Official data, multi-source validated
0.7-0.9 → Reliable source, single validation
0.5-0.7 → Web search result, not cross-validated
0.3-0.5 → Extrapolation/estimate with reasonable basis
0.1-0.3 → Training data or rough estimate
When the CEO or another agent validates an artifact, update the metadata:
wanman artifact put --kind market_data --path "competitors/pricing" \
--meta '{"source":"cross_validated","confidence":0.85,"verified":true,"verified_by":"ceo","verified_at":"2024-01-15","original_source":"web_search:dianping.com","validation_notes":"consistent with Meituan data"}'
source is empty or just says "internet"path does not follow a consistent naming conventioncosts/{category}/{item} → Cost data
revenue/{scenario}/{period} → Revenue forecasts
competitors/{name}/{metric} → Competitor data
market/{segment}/{metric} → Market data
location/{area}/{metric} → Location data