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Generate a GitHub Actions workflow that runs a coder-eval suite as a CI gate or on a schedule, using the published composite action — with the agent runtime, credentials, JUnit output and a score floor wired correctly.

AI & Automation 116 stars 2 forks Updated today Apache-2.0

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Quality Score: 80/100

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Skill Content

# Wire coder-eval into GitHub Actions The user's request is: `$ARGUMENTS` ## Step 1 — Check the repository Find the repository's task tree by following `${CLAUDE_PLUGIN_ROOT}/reference/repo-layout.md`, and check whether `.github/workflows/` exists. The paths you resolve here become the workflow's `tasks:` input in step 3 — that input is written from discovery, never from a fixed guess. If there is no `.github/` directory at all, say that this skill targets GitHub Actions and stop — do not invent an equivalent for another CI system unless the user asks. If a workflow already runs coder-eval (grep the workflows for `coder_eval`), do not add a second one. Show what is there and offer to update it. ## Step 2 — Choose the trigger Ask, or infer from the request: - **On pull request** — gate changes to the tasks or to whatever they exercise. - **On a schedule** — the skill-drift case: re-run the suite weekly against the current model so a skill that quietly stops triggering surfaces before users hit it. This is the trigger most repositories actually want, and the one they forget. If the suite is an activation suite, the environment note in step 3 is **not optional** for this trigger — without it the scheduled run reports total drift every week regardless of whether anything drifted. - **Both**, which is fine — one workflow, two `on:` keys. ## Step 3 — Emit the workflow The composite action installs the `coder-eval` CLI and nothing else: it is agent-agnostic and i...

Details

Author
UiPath
Repository
UiPath/coder_eval
Created
1 months ago
Last Updated
today
Language
Python
License
Apache-2.0

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