skill-provenanceVersion, validate, package, verify, recover, and hand off Agent Skill bundles across local folders, registries, platform uploads, and agent sessions. Use for MANIFEST.yaml, CHANGELOG.md, bundle hashes, stale evals, frontmatter portability, derived skill packages, or version identity that must survive filename changes and cross-platform movement. Do not use for ordinary Git version control that does not involve an Agent Skill bundle. Compatible with the agentskills.io open standard.
Install via ClawdBot CLI:
clawdbot install snapsynapse/skill-provenanceGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/snapsynapse/skill-provenanceUses known external API (expected, informational)
arxiv.orgAudited Apr 16, 2026 · audit v1.0
Generated Mar 20, 2026
A development team creates and iterates on AI agent skills for internal tools. They use this skill to track versions across multiple developers, ensuring that when a skill is updated from v2 to v3, the change summary in the manifest prevents confusion about modifications. It helps maintain consistency when sharing skills between Claude Chat for testing and Claude Code for deployment.
A consultancy builds custom AI skills for clients and needs to hand off complete bundles with clear version histories. This skill ensures that all files, including evals and output artifacts, are tracked in the manifest, so clients receive a verifiable package with documented changes. It prevents issues when clients later request updates or audits.
An online education platform uses AI agents to generate and update learning modules packaged as skills. They employ this skill to version SKILL.md and evals.json files, keeping changelogs internal to avoid reliance on filenames. This supports collaboration across instructors and platforms like GitHub Copilot for content refinement.
A large organization uses AI skills to automate compliance report generation. This skill tracks versions of scripts and output PDFs in the manifest, ensuring audit trails for regulatory requirements. It helps teams manage updates across strict platforms like Codex, where frontmatter flexibility is limited.
An open-source community maintains a repository of AI skills on GitHub. They use this skill to standardize versioning with manifest files, making it easy for contributors to sync changes and avoid conflicts. It supports cross-platform compatibility by handling frontmatter variations for agentskills.io adopters and stricter tools.
Offer a cloud-based service where teams can upload, version, and distribute AI skill bundles with automated manifest generation and validation. Revenue comes from subscription tiers based on storage, collaboration features, and integration with platforms like Claude API or Gemini CLI.
Provide expertise to organizations adopting AI agent skills, helping them set up provenance tracking, customize manifests, and ensure cross-platform compatibility. Revenue is generated through project-based fees, training workshops, and ongoing support contracts.
Operate a marketplace where developers can sell versioned skill bundles with provenance tracking included. Revenue streams include transaction fees on sales, premium listings for verified skills, and optional subscription access to advanced analytics on skill usage and updates.
💬 Integration Tip
Start by adding a MANIFEST.yaml to your skill bundle to track all files, then use metadata fields in SKILL.md for versioning only when targeting flexible platforms like agentskills.io adopters.
Scored Sep 1, 2026
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