Git审查
- 作者仓库星标 184,730
- 作者更新于 实时读取
- 作者仓库 AutoGPT
- 领域
- AI 智能
- 兼容 Agent
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- 信任分
- 88 / 100 · 社区维护
- 作者 / 版本 / 许可
- @Significant-Gravitas · 未声明 license
- Token 消耗评级
- 中等消耗
- 接入复杂程度
- 需手动接入
- 是否需要外部 API Key
- 不需要
- 兼容的系统
- Docker
- 底层运行要求
- Docker
- 文件与系统权限
-
- 只读
- 允许写入 / 修改
- Shell 执行
- 网络行为
- 仅限本地
- 安装命令数
- 26 条
档案由构建时根据 SKILL.md 与安装命令自动衍生,可能与作者实际意图存在差异。
需要注意: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: open-pr
description: Open a pull request with proper PR template, test coverage, and review workflow. Guides agents t…
category: AI 智能
runtime: Docker
---
# open-pr 输出预览
## PART A: 任务判断
- 适用问题:提示词、Agent 工作流、模型评估或自动化推理。
- 输入要求:目标材料、限制条件、期望输出和验收方式。
- 证据边界:围绕“Step 1: Pre-flight checks / Step 2: Test coverage / Existing behavior is not broken”读取原文规则,不把推断写成作者承诺。
## PART B: 执行结果
- **01** 任务判断:确认你的需求是否属于提示词、Agent 工作流、模型评估或自动化推理,并标出输入、限制和预期结果。
- **02** 执行计划:优先按“Step 1: Pre-flight checks / Step 2: Test coverage / Existing behavior is not broken”拆成步骤,说明每一步会读取什么、修改什么、产出什么。
- **03** 交付结果:给出可复制的命令、文件改动、检查清单或内容草稿,并说明如何继续迭代。
- **04** 风险边界:结合 读取文件、写入/修改文件、执行终端命令、主要在本地完成、通常不需要额外 API Key 给出执行前确认项。
## Running Rules
- 读取文件、写入/修改文件、执行终端命令;主要在本地完成;通常不需要额外 API Key。
- 先小样例验证,再放大到真实任务。
- 交付时同时给结果、检查口径和下一步迭代建议。 原文出现了 `/pr-test`、`/pr-review`、`/review`、`/pr-address` 这类斜杠命令;如果你的 Agent 支持命令触发,优先用命令开场,再补充目标和边界。
告诉 Agent 目标文件或材料、期望结果、不可改范围、是否允许联网或执行命令。本 Skill 的权限画像是:读取文件、写入/修改文件、执行终端命令。
先用一个小任务确认它会围绕“Step 1: Pre-flight checks / Step 2: Test coverage / Existing behavior is not broken”工作;涉及文件或命令时,先看 diff、日志、预览或测试结果。
检查最终产物是否包含明确结果、必要证据和下一步动作;如果输出泛泛而谈,就补充输入、边界和验收标准后重跑。
---
name: open-pr
description: Open a pull request with proper PR template, test coverage, and review workflow. Guides agents t…
category: AI 智能
source: Significant-Gravitas/AutoGPT
---
# open-pr
## 什么时候使用
- 用于审阅代码、文档或方案并给出可执行反馈 适合处理AI Agent、提示词、模型评估与自动化推理,核心价值是把输入、判断、执行、验证和交付边界固定下来,避免 Agent 泛泛回答。 把任务拆成可执行、可检查、可继续迭代的步骤;通常不需要…
- 面向提示词、Agent 工作流、模型评估或自动化推理,优先处理能明确输入、步骤和验收标准的工作。
## 需要提供什么
- 目标材料、目录范围、期望结果和不可改动内容。
- 是否允许联网、执行命令、读写文件或调用外部服务。
## 执行规则
- 围绕「Step 1: Pre-flight checks / Step 2: Test coverage / Existing behavior is not broken」组织步骤,不把推断写成作者事实。
- 读取文件、写入/修改文件、执行终端命令;主要在本地完成;通常不需要额外 API Key。
- 先跑小样例,确认结果可检查后再扩大任务范围。
## 输出要求
- 给出最终产物、关键证据、验证方式和下一步动作。
- 信息不足时标记 unknown,不编造命令、平台或依赖。 作者原文负责流程事实;仓库文件负责来源和命令;流狐只补充适用场景、限制和质量判断。
skill "open-pr" {
输入层 -> 用户目标 + 目标文件 + 禁止范围 + 验收标准
上下文层 -> Step 1: Pre-flight checks / Step 2: Test coverage / Existing behavior is not broken
规则层 -> SKILL.md 触发条件 / 执行顺序 / 输出格式
运行层 -> Docker | 读取文件、写入/修改文件、执行终端命令 | 主要在本地完成
安全层 -> 通常不需要额外 API Key + 小任务验证 + diff / 日志复核
输出层 -> 可复制结果 + 检查清单 + 下一步迭代
} Open a Pull Request
Step 1: Pre-flight checks
Before opening the PR:
- Ensure all changes are committed
- Ensure the branch is pushed to the remote (
git push -u origin <branch>) - Run linters/formatters across the whole repo (not just changed files) and commit any fixes
Step 2: Test coverage
This is critical. Before opening the PR, verify:
Existing behavior is not broken
- Identify which modules/components your changes touch
- Run the existing test suites for those areas
- If tests fail, fix them before opening the PR — do not open a PR with known regressions
New behavior has test coverage
- Every new feature, endpoint, or behavior change needs tests
- If you added a new block, add tests for that block
- If you changed API behavior, add or update API tests
- If you changed frontend behavior, verify it doesn't break existing flows
If you cannot run the full test suite locally, note which tests you ran and which you couldn't in the test plan.
Step 3: Create the PR using the repo template
Read the canonical PR template at .github/PULL_REQUEST_TEMPLATE.md and use it verbatim as your PR body:
- Read the template:
cat .github/PULL_REQUEST_TEMPLATE.md - Preserve the exact section titles and formatting, including:
### Why / What / How### Changes 🏗️### Checklist 📋
- Replace HTML comment prompts (
<!-- ... -->) with actual content; do not leave them in - Do not pre-check boxes — leave all checkboxes as
- [ ]until each step is actually completed - Do not alter the template structure, rename sections, or remove any checklist items
PR title must use conventional commit format (e.g., feat(backend): add new block, fix(frontend): resolve routing bug, dx(skills): update PR workflow). See CLAUDE.md for the full list of scopes.
Use gh pr create with the base branch (defaults to dev if no [base-branch] was provided). Use --body-file to avoid shell interpretation of backticks and special characters:
BASE_BRANCH="${BASE_BRANCH:-dev}"
PR_BODY=$(mktemp)
cat > "$PR_BODY" << 'PREOF'
<filled-in template from .github/PULL_REQUEST_TEMPLATE.md>
PREOF
gh pr create --base "$BASE_BRANCH" --title "<type>(scope): short description" --body-file "$PR_BODY"
rm "$PR_BODY"
Step 4: Review workflow
If you have a workspace that allows testing (docker, running backend, etc.)
- Run
/pr-testto do E2E manual testing of the PR using docker compose, agent-browser, and API calls. This is the most thorough way to validate your changes before review. - After testing, run
/pr-reviewto self-review the PR for correctness, security, code quality, and testing gaps before requesting human review.
If you do NOT have a workspace that allows testing
This is common for agents running in worktrees without a full stack. In this case:
- Run
/pr-reviewlocally to catch obvious issues before pushing - Comment
/reviewon the PR after creating it to trigger the review bot - Poll for the review rather than blindly waiting — check for new review comments every 30 seconds using
gh api repos/Significant-Gravitas/AutoGPT/pulls/{N}/reviews --paginateand the GraphQL inline threads query. The bot typically responds within 30 minutes, but polling lets the agent react as soon as it arrives. - Do NOT proceed or merge until the bot review comes back
- Address any issues the bot raises — use
/pr-addresswhich has a full polling loop with CI + comment tracking
# After creating the PR:
PR_NUMBER=$(gh pr view --json number -q .number)
gh pr comment "$PR_NUMBER" --body "/review"
# Then use /pr-address to poll for and address the review when it arrives
Step 5: Address review feedback
Once the review bot or human reviewers leave comments:
- Run
/pr-addressto address review comments. It will loop until CI is green and all comments are resolved. - Do not merge without human approval.
Related skills
| Skill | When to use |
|---|---|
/pr-test |
E2E testing with docker compose, agent-browser, API calls — use when you have a running workspace |
/pr-review |
Review for correctness, security, code quality — use before requesting human review |
/pr-address |
Address reviewer comments and loop until CI green — use after reviews come in |
Step 6: Post-creation
After the PR is created and review is triggered:
- Share the PR URL with the user
- If waiting on the review bot, let the user know the expected wait time (~30 min)
- Do not merge without human approval
先判断是否适合
作者设计意图
作者的方法与取舍
边界和复核