/artifact-quality
Quality standards for structured deliverables, ensuring data is verifiable and traceable
$ npx -y skills add chekusu/wanman --skill artifact-quality --agent claude-codeHow it fires
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/artifact-quality
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Quality standards for structured deliverables, ensuring data is verifiable and traceable
SKILL.md
artifact-quality.SKILL.mdname: artifact-quality
description: Quality standards for structured deliverables, ensuring data is verifiable and traceable
Artifact Quality Standards
Required Fields
Every artifact's metadata must include:
| Field | Type | Description | |-------|------|-------------| | `source` | string | Data source identifier | | `confidence` | number (0-1) | Confidence score |
Source Identifier Format
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
Confidence Scoring Guide
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
Cross-Validation
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"}'Common Quality Issues
1. **Missing source**: `source` is empty or just says "internet" 2. **Inflated confidence**: Estimated data labeled 0.9+ 3. **Missing units**: Amounts without currency, areas without units 4. **Vague timing**: No data collection date specified 5. **Inconsistent paths**: `path` does not follow a consistent naming convention
Path Naming Convention
costs/{category}/{item} → Cost data
revenue/{scenario}/{period} → Revenue forecasts
competitors/{name}/{metric} → Competitor data
market/{segment}/{metric} → Market data
location/{area}/{metric} → Location dataRead more
name: artifact-quality description: Quality standards for structured deliverables, ensuring data is verifiable and traceable
Artifact Quality Standards
Required Fields
Every artifact's metadata must include:
| Field | Type | Description | |-------|------|-------------| | `source` | string | Data source identifier | | `confidence` | number (0-1) | Confidence score |
Source Identifier Format
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
Confidence Scoring Guide
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
Cross-Validation
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"}'Common Quality Issues
1. **Missing source**: `source` is empty or just says "internet" 2. **Inflated confidence**: Estimated data labeled 0.9+ 3. **Missing units**: Amounts without currency, areas without units 4. **Vague timing**: No data collection date specified 5. **Inconsistent paths**: `path` does not follow a consistent naming convention
Path Naming Convention
costs/{category}/{item} → Cost data
revenue/{scenario}/{period} → Revenue forecasts
competitors/{name}/{metric} → Competitor data
market/{segment}/{metric} → Market data
location/{area}/{metric} → Location dataAgent Matrix framework — run a supervised network of Claude Code or Codex agents that collaborate on your machine. wanman is an open-source local-mode agent matrix framework.
Repo: chekusu/wanman
Other skills on wanman.
- /artifact-naming
Naming conventions for artifact kind and path, ensuring data can be aggregated and analyzed
Open skill - /cross-validation
CEO checks consistency of agent outputs during post-completion review
Open skill - /research-methodology
Methodology for market research and data collection, ensuring data quality and source traceability
Open skill - /wanman-cli
wanman CLI command reference — inter-agent communication, task management, artifact storage
Open skill - /workspace-conventions
File and output conventions for agent workspaces
Open skill

