AI AGENTS
Model adoption gate on GitHub PR
When a pull request proposes adding a HuggingFace model dependency, an agent pulls the model card, scores it against your task and license requirements.
How it runs
The automated pipeline, trigger to output.
- TriggerGitHub PR opened or updatedGitHub
- LogicDetect HuggingFace model id in diff
- ActionFetch model card and metadataHugging Face
- ActionScore model against adoption criteriaOpenAI
- LogicDecide approve vs block
- OutputPost verdict as PR review commentGitHub
What it does
Guards your codebase against adopting unvetted open-source models. When someone opens a PR that references a new HuggingFace model id, this agent fetches the model card, evaluates fit, and replies inline with a pass/fail recommendation before the change merges.
When to use it
Use when your team adds OSS models often and you want a consistent first-pass screen — license compatibility, task match, evaluation coverage, and known limitations — without a human reading every model card by hand.
How it works
- 1A GitHub pull request opened or updated triggers the run.
- 2The flow scans the diff for a HuggingFace model identifier; if none is found it stops.
- 3It pulls that model's card and metadata from HuggingFace.
- 4An LLM scores the card against your criteria (license, declared task, benchmark presence, dataset provenance) and produces a verdict with reasons.
- 5The verdict and rationale are posted back as a GitHub PR review comment, blocking on a fail.
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 OpenAIModels, embeddings, files.
- 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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