quay/ai-helpers/poll

Trust tier 3
  • community
  • ext:[{"type":"hook","description":"Pre/post lifecycle hooks"}]
Source check pending

Checking that the SKILL.md file is still in the repository.

Stateful PR poller: tracks GitHub Actions CI, CodeRabbit, Codecov, and human reviews across polls. Loops with adaptive backoff internally. Run via the Bash tool with run_in_background: true so the platform notifies the agent on exit.

Install

npx vskill@latest install quay/ai-helpers/poll

Semi-extensibleMentions customization, but needs skill-specific knowledge. Read the extensible skills standard

SKILL.md

Poll PR and Act on Feedback

Poll PR #$ARGUMENTS for CI, CodeRabbit, and human review status, then fix what's broken.

The script manages its own state in .claude/poll-state/pr-$ARGUMENTS.json and loops internally with adaptive backoff (120-600s). It shows a full report on the first run, then delta-only on subsequent polls so only new events surface.

CRITICAL: always use run_in_background: true

Run the script via the Bash tool with run_in_background: true. Never use `&` to background it in the shell — that detaches the process and makes the exit code invisible.

bash
# Bash tool call — set run_in_background: true
bash .claude/scripts/poll-pr.sh $ARGUMENTS

The script sleeps and polls on its own. Do not interrupt it. When it exits, you will be notified automatically.

Exit codes — what to do when notified

CodeMeaningAction
0All checks passReady to merge
1CI failuresFix code, push, re-run (background again)
2Checks pendingShould not exit 2 unless --max-polls hit; re-run
3Inline review commentsAddress comments, push, re-run (background again)
4Awaiting human reviewReviewer team notified; CronCreate to re-poll later

Exit 4 — schedule a re-poll cron

When the script exits 4, it has already posted a comment and requested reviewers. Use CronCreate to check back automatically:

text
CronCreate: every 2 hours, /poll $ARGUMENTS

Delete the cron (CronDelete) once the PR is approved or merged.

Exit 1 — CI failures

Run the relevant test/lint commands per the project's AGENTS.md to reproduce and fix failures locally. After fixing: push, then re-run the script via Bash with run_in_background: true.

Exit 3 — inline review comments

Run --once --full to see comments with reply/resolve commands:

bash
bash .claude/scripts/poll-pr.sh $ARGUMENTS --once --full

Evaluate each comment critically — automated reviewers are often right but not always. Read the full context, understand what it's flagging, and make a genuine judgment call:

  • Valid: fix the code, then reply explaining what you changed before resolving
  • Invalid or inapplicable: reply with your reasoning, then resolve
  • Unclear: reply asking for clarification (do NOT resolve)

Steps:

  1. Read all inline comments (reply command + resolve command shown per thread)
  2. Evaluate: fix, reply with rationale, or ask a follow-up question
  3. Once settled, resolve the thread via GraphQL
  4. Push and re-run the script via Bash with run_in_background: true

Push and re-run

bash
git add -A && git commit -m "type(scope): address feedback"
git push origin <branch>
# then re-run poll via Bash tool with run_in_background: true

Repeat until exit 0.

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

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Extension points

  • hookPre/post lifecycle hooks

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