Best use case
provenance-report is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
It is a strong fit for teams already working in Codex.
Generate provenance coverage dashboard and statistics
Teams using provenance-report should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/provenance-report/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How provenance-report Compares
| Feature / Agent | provenance-report | Standard Approach |
|---|---|---|
| Platform Support | Codex | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Generate provenance coverage dashboard and statistics
Which AI agents support this skill?
This skill is designed for Codex.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Provenance Report Command Generate a dashboard showing provenance tracking coverage, agent attribution, and chain health. ## Instructions When invoked, generate provenance report: 1. **Count tracked vs untracked artifacts** - Scan `.aiwg/` directories for all artifacts - Count provenance records in `.aiwg/research/provenance/records/` - Calculate coverage percentage 2. **Breakdown by entity type** - Categorize: document, code, test, schema, template, agent, command - Show tracking percentage per type 3. **Breakdown by agent** - Group records by agent URN - Count artifacts per agent - Show activity types per agent 4. **Chain health metrics** - Count broken links - Count orphaned records - Count missing back-references - Calculate chain completeness score 5. **Activity timeline** - Recent provenance activities (last 7 days) - Most frequently modified artifacts - Activity distribution by type 6. **Generate report** - Format as markdown dashboard - Include tables and summary metrics - Optionally save to `.aiwg/reports/provenance-report.md` ## Arguments - `--brief` - Show summary only - `--save` - Save report to `.aiwg/reports/provenance-report.md` - `--since [date]` - Only include activities since date - `--format [markdown|json]` - Output format (default: markdown) ## References - @$AIWG_ROOT/agentic/code/frameworks/sdlc-complete/agents/provenance-manager.md - Provenance Manager agent - @$AIWG_ROOT/agentic/code/frameworks/sdlc-complete/schemas/provenance/prov-record.yaml - PROV record schema - @.aiwg/research/provenance/docs/provenance-guide.md - Provenance guide - @$AIWG_ROOT/agentic/code/frameworks/sdlc-complete/rules/provenance-tracking.md - Provenance tracking rules
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