gza-plan-review
Run an interactive quality gate for a plan task and produce a go or no-go recommendation before implementation
供给资产档案
编程与开发 Agent
代码审查、仓库分析、测试、CI、GitHub、DevOps 与开发工作流 Skill。
场景
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
适配 Agent
Claude Code + CLI + Codex
适用于 Codex、Claude Code、Cursor、CLI 或自定义 Agent。
安装
就绪
npx skills add mhawthorne/gza --skill gza-plan-review
维护状态
新鲜
距上次推送 1 天
风险
需审查
No critical security issues found. Allowed-tools restrict commands to safe gza subcommands, AskUserQuestion, and Read.
GitHub 质量
11
57/100 质量 · 70/100 信任
覆盖标签
审查说明
No critical security issues found. Allowed-tools restrict commands to safe gza subcommands, AskUserQuestion, and Read. · Low GitHub adoption signal
Agent 采用评分卡
一眼查看信任、审计与安装准备度
这些分数综合公开仓库元数据、OpenAgentSkill 审查信号、维护新鲜度与安装准备度。它用于候选筛选,不替代人工审查。
质量
有潜力有用的候选项,但采用前应与替代方案比较。
信任
仅限沙盒有用但信任信号不足或混杂的候选项。在结果闭环证明任务匹配前,请保持在隔离工作区内使用。
审计
需审查对安装准备度、安全元数据、维护情况与采用风险的机器可读审查。
OpenAgentSkill 信任评分 v5
安装前需人工审查
仅在沙盒中运行,并在用于真实工作前比较接近的替代方案。
Stars
11 个 GitHub Stars
仓库活跃度
11 个 Star,1 个 Fork
维护状态
距上次推送 1 天
许可证
MIT
安装
npx skills add mhawthorne/gza --skill gza-plan-review
安装安全性
标准软件包或运行时安装路径
权限范围
Shell 或命令执行
Agent 结果
暂未有 Agent 结果数据
文档
README/SKILL.md 上下文充分
风险摘要
生产前审查
- No critical security issues found. Allowed-tools restrict commands to safe gza subcommands, AskUserQuestion, and Read.
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 11 GitHub stars
安装准备度
安装路径可用
- 安装路径可用
- 仓库证据可用
- 已声明许可证
- 暂无 Agent 验证结果证据
Agent 可读元数据
这个 Skill 的机器可读决策数据。
使用此区块或内嵌 JSON 判断 Agent 是否应安装该 Skill、选择替代方案,或先请求人工审查。
适用任务
- 工作流自动化 工作流
- Claude Code 团队
- builders willing to evaluate younger projects
- Move data between tools
适用 Agent
安装决策
- 命令
- npx skills add mhawthorne/gza --skill gza-plan-review
- 策略
- 审查
- 人工审查
- 是
信任与风险
- 信任
- 62/100
- 审计
- 74/100
- 风险级别
- 需审查
结果闭环
- 端点
- /api/agent/outcome
- 事件 ID
- resolve
- 结果
- 5
不适用场景
- 需要厂商支持 SLA 的团队
- production agents without a repository review
- Low GitHub adoption signal
- No critical security issues found. Allowed-tools restrict commands to safe gza subcommands, AskUserQuestion, and Read.
- 高风险权限提示:Shell 或命令执行
Agent 安全 v2
46/100 · 避免自动安装
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
高
Shell 或命令执行
Skill 元数据引用了终端、CLI、Shell、子进程或命令执行工作流。
中
网络访问
Skill 可能访问远程页面、API、仓库或外部服务。
中
文件系统访问
Skill 可能读取或写入项目文件、文档、生成产物或本地工作区状态。
- 高风险权限提示:Shell 或命令执行
- No critical security issues found. Allowed-tools restrict commands to safe gza subcommands, AskUserQuestion, and Read.
安装目标
在你的 Agent 工作流中安装此 Skill
通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install mhawthorne-gza-plan-reviewAgent 解析计划
让 Agent 在安装前验证匹配度。
Resolve API 返回首选 Skill、替代方案、安全策略、审计说明、安装目标和可直接执行的提示词,无需抓取此页面。
打开 JSON
/api/agent/resolve?task=Use%20gza-plan-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve 文本
/api/agent/resolve?task=Use%20gza-plan-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
安装交接
/api/skills/mhawthorne-gza-plan-review/install
Agent 应检查
- 从 Resolve API 检查任务匹配与替代方案。
- 检查审计评分、信任评分和安全策略警告。
- 检查 Codex、Claude Code、Cursor 或 CLI 的安装目标兼容性。
复制提示词
Task: Use gza-plan-review in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20gza-plan-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/mhawthorne-gza-plan-review/install
Install command: npx skills add mhawthorne/gza --skill gza-plan-review
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent 交接
把安装路径交给 Agent,而不是再给一个目录页。
通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。
安装交接
/api/skills/mhawthorne-gza-plan-review/install
LLM 文本格式
/api/skills/mhawthorne-gza-plan-review/install?format=text
寻找替代方案
/api/skills/search?q=gza-plan-review&limit=3
Agent 提示词
Use gza-plan-review for this task. Review https://www.openagentskill.com/api/skills/mhawthorne-gza-plan-review/install, then install with: npx skills add mhawthorne/gza --skill gza-plan-reviewRegistry 元数据
用于自动选择 Skill 的 Agent 可读档案。
本页通过 Registry API 提供相同的决策、信任、审计、场景和安装信号,让 Agent 无需抓取界面即可排序。
Agent 决策面板
Needs validation for Workflow automation
在将它加入 Agent 工作流前先人工审查仓库。
栈中角色
需要验证
主要匹配
工作流自动化
信任标签
需要人工审查
安装路径
命令已就绪
适用场景
- 工作流自动化 工作流
- Claude Code 团队
- builders willing to evaluate younger projects
证据
- 仓库近期活跃
- 已提供安装命令或 GitHub 仓库
- 57/100 质量档案
- 1 个 OpenAgentSkill 交互事件
先审查
- Low GitHub adoption signal
- No critical security issues found. Allowed-tools restrict commands to safe gza subcommands, AskUserQuestion, and Read.
实施路径
- 1在沙盒 Agent 中安装它,并端到端完成一次工作流自动化任务。
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
信任档案
仅限沙盒
有用但信任信号不足或混杂的候选项。在结果闭环证明任务匹配前,请保持在隔离工作区内使用。
GitHub 采用度
修复11 个 GitHub Stars
Star/Fork 活跃度
修复11 个 Star,1 个 Fork; 当前元数据中没有议题活跃度信息
近期维护
通过距上次推送 1 天
许可证清晰度
通过MIT
积极信号
- AI 审查已通过
- 安装路径可用
- 仓库证据可用
- 近期维护的仓库
- 安装命令未发现明显高风险模式
- 结果闭环已就绪,但需要首次真实 Agent 运行
安装前审查
- No critical security issues found. Allowed-tools restrict commands to safe gza subcommands, AskUserQuestion, and Read.
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 11 GitHub stars
- Stars/forks activity: 11 stars, 1 forks; issue activity unavailable in current metadata
- 暂未有真实 Agent 结果报告
- 无人值守安装前需要人工审查
建议操作
仅在沙盒中运行,并在用于真实工作前比较接近的替代方案。
质量档案
有潜力 适用于 Agent 工作流的候选
有用的候选项,但采用前应与替代方案比较。
工作流匹配
在这些场景使用此 Skill
Automate repeated work
Workflow automation
I need my agent to automate a repeated workflow across tools and files.
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Operate web apps
Browser automation
I need my agent to control a browser, fill forms, and verify web app workflows.
工作流匹配
加入完整工作流
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
替代方案短名单
安装前对比
可能适合该任务的相近 Skill。
UI-TARS Desktop
Run multimodal agents that operate desktop interfaces
MoneyPrinterTurbo
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
Cua
Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).
概览
--- name: gza-plan-review description: Run an interactive quality gate for a plan task and produce a go or no-go recommendation before implementation allowed-tools: Bash(uv run gza show:*), Bash(uv run gza log:*), Bash(uv run gza history:*), AskUserQuestion, Read version: 1.0.0 public: true ---
# Gza Plan Review
Run an interactive plan quality gate for a specific plan task before implementation starts.
## Inputs
- Required: full prefixed plan task ID (for example, `gza-1234`)
If the user did not provide a task ID, ask for it before proceeding.
Use the full prefixed task ID for all `gza` commands.
## Process
### Step 1: Inspect the task with built-in gza commands
Run these commands with the provided task ID:
```bash uv run gza show <TASK_ID> uv run gza log <TASK_ID> uv run gza history --type plan --limit 10 ```
Use this output to verify: - task exists - task type is `plan` - task status (`completed` is required for a `Go` recommendation) - final plan output and any failure context - nearby plan/review history for dependencies and precedent
If the task is not found or is not a `plan` task, stop and return a no-go with corrective actions.
### Step 2: Run the interactive quality gate
Use AskUserQuestion to evaluate each gate area. Ask concise, targeted questions and confirm assumptions explicitly.
Gate areas: 1. Scope clarity - Is the problem statement specific? - Are boundaries and out-of-scope items explicit? - Are impacted components/files identified?
2. Acceptance criteria - Are there concrete, testable success criteria? - Are behavior, edge cases, and failure modes covered? - Is "done" unambiguous for implementation and review?
3. Risks - Are technical/product risks identified and ranked? - Are mitigation steps or fallback paths defined? - Are unknowns called out with a way to resolve them?
4. Dependencies - Are task dependencies (other gza tasks, systems, data, approvals) listed? - Are dependency states known (ready, blocked, unknown)? - Is sequencing clear enough to avoid rework?
5. Test strategy - Are required test types named (unit/integration/e2e as relevant)? - Are key scenarios and regressions enumerated? - Is verification command strategy clear for implementation work?
### Step 3: Score and decide
Assign each gate area one status: - `Pass` - sufficient for implementation - `Needs work` - gaps exist but are fixable - `Fail` - critical blocker
Decision rule: - `Go`: no `Fail` areas and at most one `Needs work` - `Go` also requires task status `completed` - `No-go`: any `Fail`, or two or more `Needs work`
### Step 4: Output recommendation and actions
Produce a concise report with:
1. Task context - Task ID, title/prompt, status, and inspected commands used
2. Gate results - One line per gate area: status + evidence
3. Recommendation - `Go` or `No-go` - One short rationale paragraph
4. Follow-up actions - Concrete next steps with owners and commands when possible - Reference existing gza commands to continue workflow: - `uv run gza show <TASK_ID>` - `uv run gza log <TASK_ID>` - For a `Go` recommendation, or if the operator wants to proceed despite prior concerns, use AskUserQuestion before giving the implement command: - Ask which tag(s) to attach with repeatable `--tag`; suggest inheriting the plan task's existing tags by default. - Ask whether this implement task should pass `--pr` to auto-create or reuse a GitHub PR after completion. - Thread the answers into the final queued command, for example: `uv run gza implement -q <TASK_ID> --tag <tag> [--pr]` - `uv run gza add --type plan "..."` (for remediation planning)
## Output template
Use this structure:
```text Plan Review: Task <TASK_ID>
Task Context - Type/Status: <type> / <status> - Prompt: <prompt> - Inspected with: gza show, gza log, gza history --type plan
Quality Gate - Scope clarity: <Pass|Needs work|Fail> - <evidence> - Acceptance criteria: <Pass|Needs work|Fail> - <evidence> - Risks: <Pass|Needs work|Fail> - <evidence> - Dependencies: <Pass|Needs work|Fail> - <evidence> - Test strategy: <Pass|Needs work|Fail> - <evidence>
Recommendation - <Go|No-go> - Rationale: <short rationale>
Follow-up actions 1. <action with command> 2. <action with command> 3. <action with command> ```
## Important notes
- Keep the gate interactive: ask questions before deciding if evidence is incomplete. - Use command output as primary evidence; do not guess hidden context. - Prefer no-go over ambiguous go when acceptance criteria or test strategy are weak. - If go is granted with one `Needs work`, include an explicit pre-implementation fix action.
技术详情
- 版本
- 1.0.0
- 许可证
- MIT
- 最近更新
- 2026年8月21日
- 发布时间
- 2026年8月21日
决策摘要
需要验证
仓库近期活跃
Agent 验证证据
Agent 验证证据
来自解析、审查、安装和一次小范围运行后的结果报告。
- 成功率
- —
- 近期失败
- —
- 结果
- 0
- 输出质量
- —
- 失败
- 0
- 不相关
- 0
- 安装次数
- 0
- 风险拦截
- 0
- 需要配置
- 0
- 生产环境
- 0
暂时没有 Agent 结果数据。首次 Agent 执行可以通过 /api/agent/outcome 报告成功、需要设置、风险拦截、失败或不相关。
增长闭环
分享工具包
为 gza-plan-review 准备的场景化草稿,可手动发布到 X。
A practical pick for a repeatable workflow: gza-plan-review: Run an interactive quality gate for a plan task and produce a go or no-go recommendation before implementation 11 stars https://www.openagentskill.com/skills/mhawthorne-gza-plan-review?ref=x
可选:带安装命令的回复
Listing + install path for gza-plan-review: https://www.openagentskill.com/skills/mhawthorne-gza-plan-review?ref=x Install: npx skills add mhawthorne/gza --skill gza-plan-review
收录来源
Registry 收录
此列表来自公开来源,维护者认领获批前不会标记为官方。
- 创作者
- mhawthorne
- 收录方
- OpenAgentSkill 社区索引
归属链接指向公开仓库或创作者主页。创作者可认领列表以更新所有权信号。
认领此 Skill所有者认领
认领此 Skill 页面
这条 Registry 收录 列表归属于 mhawthorne,但尚未标记为官方。认领后可增加已验证所有者信号,使后续发布、安装和审计更新更值得信赖。
创作者外链工具包
将证据徽章加入你的 README
在开发者评估仓库的位置展示规范页面、当前信任与审计信号,以及真实的 Agent 验证证据。
[](https://www.openagentskill.com/skills/mhawthorne-gza-plan-review)
[](https://www.openagentskill.com/skills/mhawthorne-gza-plan-review)
[](https://www.openagentskill.com/skills/mhawthorne-gza-plan-review/audit)
[](https://www.openagentskill.com/skills/mhawthorne-gza-plan-review)作者
mhawthorne
@mhawthorne
平台适配
健康信号
- GitHub Stars
- 11
- 质量评分
- 31/100
- 最近 GitHub 推送
- 2026年8月21日
- 框架提示
- 未知
- OpenAgentSkill 浏览量
- 1
- 复制安装命令
- 0
- 跳转点击
- 0
社区信号
告诉我们这个 Skill 是否对你的 Agent 工作流有帮助。汇总反馈会持续改善排序。
信任与安全
仅限沙盒
- GitHub 采用度11 个 GitHub Stars修复
- Star/Fork 活跃度11 个 Star,1 个 Fork; 当前元数据中没有议题活跃度信息修复
- 近期维护距上次推送 1 天通过
- 许可证清晰度MIT通过
- README/SKILL.md 完整度元数据包含足够的用法与工作流上下文通过
- 依赖与运行时风险命令执行范围信息
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