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About caveman-discover
caveman-discover
Find and label every LLM workflow in the repository
caveman-discover is an operator-run agent skill from the caveman project that finds and labels every LLM workflow in a repository, so that Caveman Cloud can group spending by workflow instead of putting all unlabeled traffic in one bucket. A workflow is a job the code performs, such as answering a support ticket, building a nightly digest or running an eval suite, and not a technology. The skill inventories the repository's workflows, gives them clear names, and wires labels into the gateway requests, then checks that nothing has broken. The process is cautious. The skill first proposes a labeling table and waits for the user's approval before it changes any code, and the change goes through the user's normal review. It is designed to be idempotent, so re-running it on a repository that is already labeled should change nothing. It also says that telemetry, such as an unlabeled-traffic observation, does not select a call site or authorize an edit, so the agent must inventory the repository on its own. The skill suits teams that make LLM calls in their code and use Caveman Cloud to track spending.
- Price
- Free
- Made by
- juliusbrussee
- Category
- AI Skills
- Website
- github.com/juliusbrussee/caveman/caveman-discover