gza-docs-review
Review documentation for accuracy, completeness, and missing information that users may need
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-docs-review
维护状态
新鲜
距上次推送 1 天
风险
需审查
Dependency or permission surface needs review
GitHub 质量
11
57/100 质量 · 63/100 信任
覆盖标签
审查说明
Dependency or permission surface needs review · Permission surface may require sandboxing
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
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
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
Choose a stronger alternative or inspect the source manually before any install attempt.
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-docs-review
安装安全性
标准软件包或运行时安装路径
权限范围
shell or command execution, filesystem or document access
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
- The allowed tool Bash(uv run *--help*) can execute arbitrary project code when running help commands, which might have side effects if the tool's --help handler is malicious or buggy.
- Financial research output is not financial advice; require human review before any live investment decision.
- Low GitHub adoption signal
- Quality score needs review
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
- GitHub automation 工作流
- Claude Code 团队
- builders willing to evaluate younger projects
- Inspect repository metadata
适用 Agent
安装决策
- 命令
- npx skills add mhawthorne/gza --skill gza-docs-review
- 策略
- 审查
- 人工审查
- 是
信任与风险
- 信任
- 55/100
- 审计
- 71/100
- 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
- The allowed tool Bash(uv run *--help*) can execute arbitrary project code when running help commands, which might have side effects if the tool's --help handler is malicious or buggy.
- 暂未有 OpenAgentSkill 使用反馈数据
Agent 安全 v2
43/100 · 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
- Dependency or permission surface needs review
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-docs-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-docs-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve 文本
/api/agent/resolve?task=Use%20gza-docs-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
安装交接
/api/skills/mhawthorne-gza-docs-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-docs-review in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20gza-docs-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/mhawthorne-gza-docs-review/install
Install command: npx skills add mhawthorne/gza --skill gza-docs-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-docs-review/install
LLM 文本格式
/api/skills/mhawthorne-gza-docs-review/install?format=text
寻找替代方案
/api/skills/search?q=gza-docs-review&limit=3
Agent 提示词
Use gza-docs-review for this task. Review https://www.openagentskill.com/api/skills/mhawthorne-gza-docs-review/install, then install with: npx skills add mhawthorne/gza --skill gza-docs-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 GitHub 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
GitHub automation
信任标签
需要人工审查
安装路径
命令已就绪
适用场景
- GitHub automation 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
先审查
- Low GitHub adoption signal
- The allowed tool Bash(uv run *--help*) can execute arbitrary project code when running help commands, which might have side effects if the tool's --help handler is malicious or buggy.
- 暂未有 OpenAgentSkill 使用反馈数据
实施路径
- 1在沙盒 Agent 中安装它,并端到端完成一次GitHub automation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
Do not auto-install
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
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
- The allowed tool Bash(uv run *--help*) can execute arbitrary project code when running help commands, which might have side effects if the tool's --help handler is malicious or buggy.
- Financial research output is not financial advice; require human review before any live investment decision.
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- GitHub adoption: 11 GitHub stars
- Stars/forks activity: 11 stars, 1 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, external package install surface
- Permission surface: shell or command execution, filesystem or document access
- 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
Choose a stronger alternative or inspect the source manually before any install attempt.
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
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Automate repeated work
Workflow automation
I need my agent to automate a repeated workflow across tools and files.
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.
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.
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
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-docs-review description: Review documentation for accuracy, completeness, and missing information that users may need allowed-tools: Read, Glob, Grep, Write, Bash(ls:*), Bash(uv run *--help*), Bash(date +%Y%m%d%H%M%S) version: 1.0.0 public: false ---
# Documentation Review Skill
Evaluate project documentation for accuracy and identify gaps that potential users may encounter.
## When to Use
- User asks to review/evaluate documentation - User asks "are the docs accurate?" - User asks "what's missing from the docs?" - Before a release to ensure docs match implementation
## Process
### Step 1: Discover documentation structure
1. **Find all documentation files:** ```bash ls docs/ ```
2. **Check for README and other root docs:** - README.md - CONTRIBUTING.md - CHANGELOG.md
3. **Map the documentation structure** to understand what's documented.
### Step 2: Read the documentation
Read key documentation files: - README.md (entry point) - Quick start / getting started guide - Configuration reference - API/CLI reference - Examples/tutorials
### Step 3: Verify against implementation
For CLI tools, compare docs against actual `--help` output:
```bash uv run <tool> --help uv run <tool> <command> --help ```
Check for: - **Missing commands** - commands in CLI but not in docs - **Missing options** - flags/options not documented - **Incorrect syntax** - documented syntax doesn't match actual - **Deprecated features** - docs mention features that no longer exist
For libraries/APIs: - Compare documented functions/classes against actual code - Check if examples still work - Verify type signatures match
### Step 4: Identify information gaps
Look for missing information users commonly need:
**Installation & Setup:** - [ ] Prerequisites clearly listed? - [ ] Installation steps complete? - [ ] Authentication/credentials setup? - [ ] First-run experience documented?
**Core Concepts:** - [ ] Key terms defined? - [ ] Architecture/flow explained? - [ ] Data model documented?
**Usage:** - [ ] Common workflows covered? - [ ] Examples for each major feature? - [ ] Error messages explained?
**Troubleshooting:** - [ ] Common errors documented? - [ ] FAQ section? - [ ] Debug/verbose mode explained?
**Reference:** - [ ] All commands/functions documented? - [ ] All options/parameters listed? - [ ] Default values specified? - [ ] Environment variables listed?
### Step 5: Check internal consistency
- Do links work (especially relative links)? - Is terminology consistent across docs? - Do examples use consistent patterns? - Are version numbers/dates current?
### Step 6: Compile findings
Organize findings into categories:
#### Accuracy Issues Things that are wrong or outdated: - Incorrect command syntax - Missing options/flags - Deprecated features still documented - Wrong default values
#### Missing Information Things users may need but aren't documented: - Undocumented commands/features - Missing conceptual explanations - No troubleshooting guidance - Missing examples for common use cases
#### Minor Issues Non-critical improvements: - Broken links - Typos - Inconsistent formatting - Outdated examples
## Output Format
Write findings to `reviews/<timestamp>-docs-review.md`.
1. **Generate timestamp:** ```bash date +%Y%m%d%H%M%S ```
2. **Write the report** to `reviews/<timestamp>-docs-review.md` with this structure:
```markdown # Documentation Review
## Overall Summary [1-2 sentence summary]
## Accuracy Issues Found | Issue | Location | Details | |-------|----------|---------| | Missing command X | config.md | CLI has `foo` but docs don't mention it |
## Missing Information | Topic | Why Users Need It | |-------|-------------------| | Error handling | Users won't know how to recover from failures |
## Minor Issues - [list of small fixes]
## Spec Review
### Outdated Specs | Spec | Issue | Details | |------|-------|---------|
### Possibly Aspirational | Spec | Notes | |------|-------|
### Specs OK - [list of specs that match implementation]
## Recommendations 1. [Priority fix 1] 2. [Priority fix 2] ```
3. **Tell the user** the path to the review file so they can open it.
## Tips
- **Prioritize user journey** - Focus on what a new user needs to get started - **Think like a newcomer** - What would confuse someone who doesn't know the tool? - **Check edge cases** - Error states, unusual configurations, advanced features - **Verify examples** - Outdated examples are worse than no examples - **Note positive findings too** - Call out what's done well
## Common Documentation Gaps
Based on patterns across projects, commonly missing items:
1. **Task/object lifecycle** - States and transitions 2. **Resume vs retry semantics** - When to use which 3. **Cost/resource expectations** - What will this cost me? 4. **Worktree/workspace concepts** - How parallel execution works 5. **Dependency resolution** - How ordering is determined 6. **Error recovery** - What to do when things fail
---
## Part 2: Feature Spec Review
Review **feature specs** in `specs/features/` for accuracy against the current implementation. (Behavior specs in `specs/behavior/` are prescriptive requirements checked separately by `gza-behavior-check`; do not review them here.)
### Important: Aspirational vs Outdated
Specs can be **forward-looking** (describing planned features) or **outdated** (describing old behavior). Use this heuristic:
- **Aspirational (skip)**: Describes functionality that doesn't exist in code but sounds intentional/planned. Leave these alone. - **Outdated (flag)**: Describes functionality that *used to* work differently, or references old file paths, old command names, or deprecated patterns.
When in doubt, flag it with a note that it "may be aspirational."
### Step 1: Discover specs
```bash ls specs/features/ ```
### Step 2: Review each spec
For each spec file:
1. **Read the spec** to understand what it describes 2. **Check if the feature exists** - search for relevant code, commands, or config 3. **Compare behavior** - does the implementation match the spec?
Look for: - **File paths that don't exist** - spec references `src/foo/bar.py` but file is gone or moved - **Command/option names that changed** - spec says `--old-flag` but CLI uses `--new-flag` - **Workflow steps that no longer apply** - spec describes a process that's been simplified or changed - **Config fields that were renamed or removed**
### Step 3: Compile spec findings
Add a "Spec Review" section to your report:
```markdown ### Spec Review
#### Outdated Specs | Spec | Issue | Details | |------|-------|---------| | task-resume.md | Wrong file path | References `src/gza/resume.py` but logic is now in `runner.py` |
#### Possibly Aspirational (needs human review) | Spec | Notes | |------|-------| | beads-integration.md | Describes beads integration but no beads code found - may be planned |
#### Specs OK - task-chaining.md - matches implementation - docker-testing.md - matches implementation ```
### Tips for spec review
- **Don't auto-update specs** - just flag issues for human review - **Check git blame** if unsure - recent specs are more likely aspirational - **Focus on concrete claims** - file paths, command names, config fields - **Skip vague/conceptual content** - prose descriptions of goals are hard to verify
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-docs-review 准备的场景化草稿,可手动发布到 X。
Before you hand an agent source-backed research, give it a repeatable starting point. gza-docs-review: Review documentation for accuracy, completeness, and missing information that users may need 11 stars https://www.openagentskill.com/skills/mhawthorne-gza-docs-review?ref=x
可选:带安装命令的回复
Listing + install path for gza-docs-review: https://www.openagentskill.com/skills/mhawthorne-gza-docs-review?ref=x Install: npx skills add mhawthorne/gza --skill gza-docs-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-docs-review)
[](https://www.openagentskill.com/skills/mhawthorne-gza-docs-review)
[](https://www.openagentskill.com/skills/mhawthorne-gza-docs-review/audit)
[](https://www.openagentskill.com/skills/mhawthorne-gza-docs-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
- 0
- 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
Do not auto-install
- 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command execution surface, external package install surface检查
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