SuperAPI AI Directory

agent-ci

Agents & models

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Updated 10-16 07:27

About this skill

Agent CI

Run the full CI pipeline locally before pushing. CI was green before you started — any failure is caused by your changes.

Run

npx @redwoodjs/agent-ci run --quiet --all --pause-on-failure

Pipes are safe — pause-on-failure works through | tee log, > log.txt, etc. When stdout isn't a TTY the launcher detaches the run and the foreground process exits 77 the moment a step pauses, freeing the pipe while the container stays paused for retry.

Retry

When a step fails, the run pauses automatically. Fix the issue, then retry:

npx @redwoodjs/agent-ci retry --name <runner-name>

To re-run from an earlier step:

npx @redwoodjs/agent-ci retry --name <runner-name> --from-step <N>

Repeat until all jobs pass. Do not push to trigger remote CI when agent-ci can run it locally.

Machine-readable output (--json)

For programmatic monitoring, add --json (or set AGENT_CI_JSON=1) to emit an NDJSON event stream on stdout — one JSON object per line. Events:

  • run.start (with schemaVersion: 1, runId)
  • job.start, job.finish (status: passed|failed)
  • step.start, step.finish (status: passed|failed|skipped)
  • run.paused (carries runner + retry_cmd)
  • run.finish (status: passed|failed)
  • diagnostic

--json is decoupled from --quiet, and the diff renderer is auto-suppressed under --json so ANSI sequences don't collide with the stream. Combined with the exit-77 pause signal above, this gives agents a robust contract: parse run.paused events, react, and call retry — no plaintext grep required.