The user's request is: $ARGUMENTS
Find the repository's task tree by following\n${CLAUDE_PLUGIN_ROOT}/reference/repo-layout.md, and check whether .github/workflows/\nexists. The paths you resolve here become the workflow's tasks: input in step 3 — that\ninput is written from discovery, never from a fixed guess.
If there is no .github/ directory at all, say that this skill targets GitHub Actions\nand 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\nsecond one. Show what is there and offer to update it.
Ask, or infer from the request:
\non: keys.The composite action installs the coder-eval CLI and nothing else: it is\nagent-agnostic and installs no coding-agent runtime. A task using the default\nclaude-code agent therefore needs Node plus the Claude CLI provided by the job first,\nor the run dies on a missing claude binary. There is no Marketplace install step for\nthe action itself, but those two prerequisite steps are not optional.
name: Coder Eval\n\non:\n pull_request:\n schedule:\n - cron: \"0 6 * * 1\" # Mondays 06:00 UTC — catches model/skill drift\n\n# Least privilege: this job runs agent-generated code, so it gets no write scope.\npermissions:\n contents: read\n\njobs:\n eval:\n runs-on: ubuntu-latest\n timeout-minutes: 30\n steps:\n - uses: actions/checkout@v6\n with:\n # Do not leave a credentialed .git/config in a workspace where\n # agent-generated code runs.\n persist-credentials: false\n\n # The action installs no coding-agent runtime — provide it here.\n - uses: actions/setup-node@v4\n with:\n node-version: \"20\"\n - run: npm install -g @anthropic-ai/claude-code\n\n - uses: UiPath/coder_eval@v0\n with:\n tasks: tasks/*.yaml\n model: claude-haiku-4-5-20251001\n junit-path: runs/ci/junit.xml\n step-summary: true\n minimum-task-score: \"0.7\"\n env: |\n ANTHROPIC_API_KEY=${{ secrets.ANTHROPIC_API_KEY }}\nAdjust model: and the cron to the repository. Pin the action at @v0, the moving major\ntag. Then work through the four things the snippet cannot guess.
tasks: — from discovery, and never with **The value above is a placeholder for whatever step 1 discovered. Substituting it is not\njust a rename, because the action expands this input unquoted with globstar off:\nbash word-splits and pathname-expands it before coder-eval ever sees it.
** glob silently loses tasks. With globstar off, a/**/*.yaml\ndegrades to a/*/*.yaml — so a tree with a/top.yaml and a/sub/deep.yaml runs\ndeep.yaml only, and the gate passes while never testing top.yaml. Nothing reports\nthis. Do not write ** here, and keep this paragraph next to whatever you do write, or\nthe next reader will \"simplify\" it back.nullglob is off too, so a pattern\nmatching nothing reaches the CLI as a literal string and hard-fails the whole run\n(Error: Task file not found: …, exit 1).So emit explicit per-depth globs, or an explicit file list — and emit only the depths\nthat actually match when you write the workflow. Check first; a fixed ladder of depths\nbreaks any repository that does not happen to have tasks at every level.
\nFor a tree that happens to sit two levels deep, that looks like this — the paths are one\nrepository's, shown to make the shape concrete, not a value to copy:
\ntasks: tests/tasks/*.yaml tests/tasks/*/*.yaml\nversion: — conditional on the repository's pinIf the repository pins a coder-eval version, pass it and say why: the gate should run\nthe CLI the repo is authored against, not whichever release the action defaults to. If\nthere is no pin, omit the input and let the action's default track the matching release.\n${CLAUDE_PLUGIN_ROOT}/reference/cli-setup.md covers how to find a pin — and passing one\nexplicitly is right even when it happens to match today's default, because it is\nself-documenting.
If the repository's suite resolves through an experiment, the workflow must pass it via\nextra-args — again with the discovered path, not the illustrative one below:
extra-args: \"-e tests/experiments/default.yaml\"\nThis is load-bearing rather than tidy: an experiment usually supplies agent: config, so\nomitting it silently changes what the run measures — the gate and the local run stop\nbeing the same test. If the repository has several experiments, ask which one the\ngate should use; a CI gate quietly running the wrong experiment is precisely the failure\nthis exists to prevent.
extra-args is a trusted input that is split on whitespace, so a path containing a space\nis unsafe there. Choose paths without spaces rather than discovering this in CI.
If the resolved experiment or the tasks interpolate environment variables, pass them\nthrough the action's env: input alongside the credentials. Missing ones do not fail\nloudly — the run just measures the wrong thing.
One case is common enough to check for by name. An activation suite loads the skill under\ntest through agent.plugins, whose path is an environment variable so the committed\ntask stays portable — the suite /coder-eval:check-skill writes uses SKILL_SOURCE_PATH.\nGrep the discovered tasks for $ in an agent.plugins path and pass every variable you\nfind, resolved against the checkout:
env: |\n ANTHROPIC_API_KEY=${{ secrets.ANTHROPIC_API_KEY }}\n SKILL_SOURCE_PATH=${{ github.workspace }}/.claude/skills\nUse the directory the repository actually keeps skills in, from step 1, not the path\nabove. This is the one omission the scheduled trigger cannot survive: unset, the skill is\nnever offered to the sandboxed agent, every positive row scores 0, and the job fails its\nrecall threshold every week — a permanent red that looks exactly like the drift the\nschedule exists to detect, so the real thing goes unnoticed when it arrives.
Credentials go through the action's env: passthrough, sourced from repository secrets,\nas in the snippet above. It is the only channel: values are exported for the coder-eval\nprocess only, not written to $GITHUB_ENV, so nothing leaks into later steps.
Never inline a key literal, and never commit one. If the repository has no\nANTHROPIC_API_KEY secret, say which secret to add and where.
junit-path: writes a JUnit XML report, which GitHub and most test-report tooling\ningest to show per-task pass/fail.step-summary: true appends the run's markdown report to the job summary, so a\nreviewer sees the scores without downloading anything.Consider uploading the run directory as an artifact on failure so a failing gate can be\nanalyzed with /coder-eval:analyze afterwards.
minimum-task-score is a strict floor: every scored task, in every variant, must\nreach it or the step fails. It sits on top of coder-eval's own exit code — the step fails\nif either coder-eval fails or any task scores below the floor. Leave it empty to disable\nit.
Explain the tradeoff and let the user pick rather than choosing for them: a floor that is\ntoo high makes the gate flaky (agents are nondeterministic), one that is too low never\ncatches anything. Suggest running the suite once, then setting the floor a little below\nthe observed minimum.
\nEvaluated tasks execute agent-generated code. Never run this under\npull_request_target with secrets exposed to untrusted fork PRs — that combination\nhands a fork's code your API keys. If the repository takes outside contributions, use\npull_request and accept that fork PRs will not have the secret (as the repository's own\nruns do), or gate the job on the PR being from the same repository.
Say why the workflow carries permissions: contents: read and\npersist-credentials: false, so neither gets dropped as boilerplate. Both follow from the\nsame fact: this job runs agent-generated code on the runner, and the default tempdir\nsandbox driver is not an OS-level confinement boundary. Without them the job inherits the\nrepository's default GITHUB_TOKEN scope — still write-all in many organizations — and\nactions/checkout leaves that token in .git/config in the very workspace the agent's code\nexecutes in, so a misbehaving or prompt-injected task could push to the repository. Neither\nline costs anything: the eval only needs to read the checkout.
If a task genuinely needs to write back (committing a baseline, say), add that one permission\nexplicitly to that job rather than restoring the default.
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