ENGINEERING
Block dependency-upgrade PRs when a HuggingFace model license changes
Watches the HuggingFace model cards your repos depend on, and when a model's license changes it fails the open dependency-upgrade pull request and posts the diff so a human can…
How it runs
The automated pipeline, trigger to output.
- TriggerDependency-upgrade PR opened or updatedGitHub
- ActionRead pinned HuggingFace models from repo manifestGitHub
- ActionFetch current license for each model cardHugging Face
- ActionLook up last-cleared license per modelPostgres
- LogicBranch: did any license change?
- ActionSet PR commit status pass/failGitHub
- OutputComment old vs new license on the PRGitHub
What it does
This workflow keeps your dependency-bump pull requests honest about licensing. It reads the list of HuggingFace models a repo pins, fetches each model card's current license, and compares it to the license recorded the last time the model was cleared. If a license changed (for example Apache-2.0 to a custom non-commercial RAIL license), it marks the upgrade PR's status check as failed and comments the before/after license so nobody merges a now-restricted model by accident.
When to use it
Use it on any repo that ships HuggingFace models in production and runs automated dependency upgrades (Dependabot, Renovate, or a manual bump). It's the guardrail that stops a silent license downgrade from riding in on a routine version bump.
How it works
- 1A pull request labeled `deps` opens or updates on GitHub.
- 2The workflow reads the repo's model manifest to list every pinned HuggingFace model.
- 3It fetches each model card's license field from HuggingFace.
- 4A branch compares each license against the last-cleared value stored in Postgres.
- 5If any license changed, it sets the PR commit status to failed; otherwise it passes.
- 6It posts a GitHub PR comment listing each model and its old vs new license.
Set it up
What you configure once, before turning it on.
- 1Connect GitHubRepos, issues, pull requests, actions.
- 2Connect Hugging FaceModels, datasets, spaces — the open-source hub.
- 3Connect PostgresAny Postgres URL — query, write, migrate.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

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