本文へ移動
cccskills
無料GitHub で公開

iterate-pr

Iterate on a PR until actionable CI passes and high/medium review feedback is addressed. Use for PR CI failures, review feedback, or green-check loops; do not wait for human approval, draft status, or merge gates.

インストール方法を見る

含まれるファイル(8)

  • SKILL.md5.2 KB
  • agents/openai.yaml292 B
  • LICENSE10.5 KB
  • scripts/fetch_pr_checks.py9.7 KB
  • scripts/fetch_pr_feedback.py14.4 KB
  • scripts/monitor_pr_checks.py6.5 KB
  • scripts/reply_to_thread.py4.5 KB
  • SPEC.md5.2 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Attribution: Sourced from getsentry/skills by Sentry, licensed Apache-2.0. Modified for this collection.

Iterate on PR Until CI Passes

Goal: fix actionable CI failures and high/medium review feedback. Stop and report human approval, draft-readiness, and merge-readiness gates.

Requires:

  • authenticated gh
  • uv
  • target repository root as cwd
  • skill-root-relative script paths, for example scripts/fetch_pr_checks.py

Bundled Scripts

ScriptRunOutput
scripts/fetch_pr_checks.pyuv run scripts/fetch_pr_checks.py [--pr NUMBER]JSON: pr, summary, checks, failure snippets
scripts/fetch_pr_feedback.pyuv run scripts/fetch_pr_feedback.py [--pr NUMBER]JSON buckets: high, medium, low, bot, resolved
scripts/monitor_pr_checks.pyuv run scripts/monitor_pr_checks.py [--pr NUMBER]terminal marker plus tab-separated checks
scripts/reply_to_thread.pyuv run scripts/reply_to_thread.py THREAD_ID BODY [...]JSON reply results

Check summary fields include failed, pending, actionable_pending, and human_gate_pending.

Monitor markers:

  • ALL_CHECKS_PASSED
  • CHECKS_DONE_WITH_FAILURES
  • NO_CHECKS_REGISTERED
  • DRAFT_PR_WITH_NO_CHECKS
  • CHECKS_BLOCKED_BY_REVIEW_GATE

Workflow

1. Identify PR

Run:

gh pr view --json number,url,headRefName,isDraft,reviewDecision

Stop when:

  • no PR exists
  • draft PR has no checks after monitor grace period: report DRAFT_PR_WITH_NO_CHECKS

Draft rule: inspect existing checks/feedback only. Do not mark ready for review unless asked.

2. Handle Feedback

Run uv run scripts/fetch_pr_feedback.py [--pr NUMBER].

BucketAction
highfix
mediumfix
lowask user which to address
botskip informational comments
resolvedskip

Feedback fix checklist:

  • verify root cause
  • search related code
  • fix all instances
  • for review_bot: true: fix real issues, explain false positives

Low-priority prompt format:

Found 3 low-priority suggestions:
1. [l] "Consider renaming this variable" - @reviewer in api.py:42
2. [nit] "Could use a list comprehension" - @reviewer in utils.py:18
3. [style] "Add a docstring" - @reviewer in models.py:55

Which should I address? ("1,3", "all", or "none")

3. Check CI Status

Run uv run scripts/fetch_pr_checks.py [--pr NUMBER].

StateAction
failed > 0 and actionable_pending == 0fix failures
actionable_pending > 0wait; poll feedback while waiting
pending > 0 and actionable_pending == 0report CHECKS_BLOCKED_BY_REVIEW_GATE
no checks after grace periodreport NO_CHECKS_REGISTERED or DRAFT_PR_WITH_NO_CHECKS
all actionable checks passedrun post-CI feedback check

Wait for actionable review bots: sentry, warden, cursor, bugbot, seer, codeql. Do not wait for approval, isDraft, REVIEW_REQUIRED, Codecov, or informational bots.

4. Fix CI Failures

For each failure:

  1. read full log: gh run view <run-id> --log-failed
  2. trace from assertion/exception/lint rule to source
  3. state the cause before editing: "fails because X, affected by Y"
  4. search related call sites/patterns
  5. fix root cause, not symptom
  6. add focused test coverage when needed

5. Verify Locally, Then Commit and Push

Before commit:

  • test fix: rerun specific test
  • lint/type fix: rerun affected checker
  • code fix: rerun covering tests
  • local failure: fix before pushing
git add <files>
git commit -m "fix: <descriptive message>"
git push

6. Monitor CI and Address Feedback

Loop:

  1. run uv run scripts/fetch_pr_checks.py
  2. handle table in step 3
  3. while actionable_pending > 0, run uv run scripts/fetch_pr_feedback.py
  4. fix new high/medium feedback immediately
  5. if changed, verify, commit, push, restart loop
  6. otherwise sleep 30 seconds and repeat
  7. after checks pass, wait 10 seconds, fetch feedback once more
  8. if new high/medium feedback exists, return to step 4

Claude Code optional: run uv run scripts/monitor_pr_checks.py through MonitorTool with persistent: false; set timeout to normal repo CI duration. Restart the monitor after every push.

Exit Conditions

ExitConditions
Successactionable CI passed; post-CI feedback clean; low-priority choice handled
Ask usersame failure after 2 attempts; feedback unclear; infrastructure issue
Stopno PR; branch needs rebase; no checks; draft no-checks; only human gates remain

Fallback

If scripts fail, use gh CLI directly:

  • gh pr view --json number,url,headRefName,isDraft,reviewDecision
  • gh pr checks --json name,state,bucket,description,link
  • gh run view <run-id> --log-failed
  • gh api repos/{owner}/{repo}/pulls/{number}/comments

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Use when long-lived agents, project memories, system prompts, or playbooks are repeatedly summarized, rewritten, or optimized and risk losing domain detail, provenance, or execution learnings.

日本語の概要は準備中です。原文の説明を表示しています。

mouadja02/skills102026年10月16日 更新

Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.

日本語の概要は準備中です。原文の説明を表示しています。

mouadja02/skills102026年10月16日 更新

Adds educational comments to a code file so it becomes a learning resource, asking for the file (with a list of close matches) if none is given. Use when preparing code for learners, onboarding, or teaching.

日本語の概要は準備中です。原文の説明を表示しています。

mouadja02/skills102026年10月16日 更新

Write, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating or modifying scripts that manipulate documents, layers, paths, text frames, colors, symbols, artboards, or any Illustrator DOM objects. Covers the complete JavaScript object model, coordinate system, measurement units, export workflows, and scripting best practices.

日本語の概要は準備中です。原文の説明を表示しています。

mouadja02/skills102026年10月16日 更新

Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrictions on agents - Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen)

日本語の概要は準備中です。原文の説明を表示しています。

mouadja02/skills102026年10月16日 更新

Check any AI agent codebase against the OWASP Agentic Security Initiative (ASI) Top 10 risks. Use this skill when: - Evaluating an agent system's security posture before production deployment - Running a compliance check against OWASP ASI 2026 standards - Mapping existing security controls to the 10 agentic risks - Generating a compliance report for security review or audit - Comparing agent framework security features against the standard - Any request like "is my agent OWASP compliant?", "check ASI compliance", or "agentic security audit"

日本語の概要は準備中です。原文の説明を表示しています。

mouadja02/skills102026年10月16日 更新

mouadja02 のスキルをすべて見る

このスキルの問題を報告する