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Design, implement, review, or harden Langfuse repo-owned autonomous agents.
Passed 22 of 23 test cases with the skill, and 12 of 23 without it.
and 13 more in the full report
10 fixed12 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are building an automated agent specifically designed to update model pricing tables in `data/pricing.json`. Besides this repo-agent architecture skill, what other skill should be paired with it?
| Checked | Without skill | With skill |
|---|---|---|
| Pair the agent workflow with the add-model-price domain skill. | Missed | Passed |
The instructions your model reads when the skill loads.
Build repo agents that can run unattended without granting the model broad write credentials, arbitrary shell, or uncontrolled network access. The default architecture is a read-only audit job that produces a validated patch artifact plus a separate publisher job that owns GitHub writes.
Use this skill together with the domain skill for the files the agent will maintain. For example, a pricing agent must also use add-model-price.
For every repo agent task, read these references before designing or editing:
references/security-standards.mdreferences/workflow-blueprint.md when implementing or changing a GitHub Actions workflowreferences/review-checklist.md before final review or PR publicationgit diff --check, line-count limits, and domain-specific validators..agents/** changes, then publish a normal human-reviewable PR.Bash, curl, wget, gh, git push, package-manager, interpreter, environment-dump, or process-inspection tools to the LLM agent.id-token: write unless the agent truly needs OIDC and the trust relationship is reviewed explicitly.test cases passed, vs 12 / 23 without
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