| name | orca-attribution |
| description | Document upstream influence, provenance, wrapping relationships, and notice obligations with explicit categories and GitHub-visible records. |
ORCA Framework Attribution
What This Skill Is
A workflow for making upstream influence, integration scope, provenance, and notice obligations easy to understand.
Trigger
Use when:
- a feature borrows ideas from an upstream project
- ORCA Framework wraps or integrates a third-party service or tool
- a file or feature is materially adapted from an upstream source
- legal notices or third-party credits need cleanup
Do Not Trigger
Do not use for generic gratitude alone. Use this when provenance and attribution clarity materially affect the repository.
Required Inputs
- Feature area, file set, or repository slice being audited
Optional Inputs
- Candidate upstream repos or writings
- Known licenses
- Known copied or adapted material
Exact Workflow
- Identify the upstream projects, hosts, services, manuals, or writings involved.
- Classify each relationship precisely.
- Distinguish interoperability from conceptual influence and from redistribution.
- Update
UPSTREAM.md as the canonical catalog.
- Update
THIRD_PARTY_NOTICES.md and NOTICE if notice handling changes.
- Update feature docs or file-level provenance only where it adds real clarity.
- Ensure README and contributor docs make the attribution layer easy to find.
Expected Outputs
- updated upstream catalog
- clearer README attribution sections
- contributor guidance for future attribution maintenance
- cleaner notice separation
Quality Bar
The output should name names, classify relationships clearly, and avoid both vagueness and legal theater.
Common Failure Modes
- calling everything "inspired by"
- hiding wrappers behind soft wording
- mixing legal notices with casual acknowledgements
- claiming copied code without evidence
- claiming originality too broadly
Relationship To Other ORCA Framework Skills And Commands
Supports README, workflow, integration, licensing, and contributor-maintenance quality across the framework.
