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在 OpenClaw 中安装
/install ai-testcase-generator
功能描述
Use when turning requirements, screenshots, or other QA inputs into structured test cases and review questions with an AI-assisted workflow.
使用说明 (SKILL.md)
AI Test Case Generator
This ClawHub package is documentation-only. It does not embed runtime binaries, install scripts, or package manifests.
When to use
- A user wants test cases from a PRD, specification, screenshot, or plain text brief.
- You need a structured review loop for QA coverage before implementation or release.
- You want a checklist for turning requirements into executable test work.
Inputs to collect
- Requirement text or a file path
- Product stage: requirement review, implementation, or pre-release
- Preferred output language
- Any focus area such as security, edge cases, compatibility, or accessibility
Recommended workflow
- Extract the core flows. Identify user journeys, rules, dependencies, and constraints.
- Group coverage by module. Organize cases by feature area, API, UI surface, or role.
- Add negative and edge paths. Include invalid input, permission boundaries, failures, and concurrency where relevant.
- Run a review pass. Check coverage, clarity, execution readiness, and security impact.
Recommended outputs
- Test scope summary
- Test points grouped by module
- Detailed cases with steps and expected results
- Priority or severity labels
- Open questions for product or engineering
Guardrails
- Keep uploaded requirements confidential.
- State clearly when a case depends on missing product detail.
- Do not claim that spreadsheet, XMind, or binary exports were produced unless an actual generator runtime was used outside this skill bundle.
安全使用建议
This skill is low-risk because it's documentation-only and asks for no credentials or installs. Before using, avoid pasting sensitive secrets into the requirements you provide, and consider whether your platform logs conversation content (so you can protect confidential product details). If you need automated exports (spreadsheets, binary artifacts), note the skill explicitly warns it does not produce those outputs by itself — you'd need a separate generator or tool for that.
功能分析
Type: OpenClaw Skill
Name: ai-testcase-generator
Version: 1.0.1
The ai-testcase-generator skill bundle is documentation-only and contains no executable code, installation scripts, or external dependencies. It provides a structured workflow and guardrails for an AI agent to process QA requirements into test cases, with no indicators of malicious intent or security risks in SKILL.md or _meta.json.
能力评估
Purpose & Capability
Name/description match the content: guidance for converting requirements/screenshots into test cases and review questions. No unrelated capabilities or resources are requested.
Instruction Scope
SKILL.md contains only workflow and output templates for QA/test case generation. It does not instruct reading arbitrary system files, accessing env vars, or transmitting data to external endpoints.
Install Mechanism
No install spec and no code files — the skill is documentation-only, so nothing is written to disk or installed.
Credentials
No environment variables, credentials, or config paths are required. Requested inputs are user-provided content and context only.
Persistence & Privilege
always is false and the skill makes no claims about modifying agent config or persisting credentials. Normal autonomous invocation is allowed by platform defaults but is not required by the skill.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install ai-testcase-generator - 安装完成后，直接呼叫该 Skill 的名称或使用
/ai-testcase-generator触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.1
Replace risky plugin metadata with an English documentation-only skill so the package can clear security scanning.
v1.0.0
Revert to version 1.0.0 to match GitHub release version. Added SECURITY.md for VirusTotal false positive explanation.
v2.3.0
ai-testcase-generator-pro v2.3.0
- Major refactor: migrated from implementation and development files to a streamlined, documentation-focused skill package.
- All source code and configuration files removed, leaving only metadata and comprehensive usage documentation.
- New SKILL.md offers concise skill summary, usage scenarios, parameters, output description, scoring breakdown, and examples.
- Documentation now emphasizes invocation guidance and review loop process for end users.
v2.2.0
**Major documentation overhaul for setup, usage, and configuration**
- Expanded and reorganized SKILL.md with clear step-by-step installation, setup, and usage instructions for OpenClaw users.
- Added detailed configuration examples, environment variables, and supported AI provider references.
- Clarified all input methods (chat commands, file upload, tool invocation) and advanced usage options.
- Included persona review process, output formats, contribution guidelines, and support links.
- No changes to skill functionality or code—documentation update only.
v2.1.0
Version 2.1.0
- Updated review loop logic in skill prompts (prompts.ts).
- SKILL.md documentation refreshed; no parameter or usage changes.
- Improved scoring and review persona descriptions for better clarity.
v2.0.3
- Updated the OpenClaw environment variable requirement from multiple API keys to only ANTHROPIC_API_KEY.
- Removed support for specifying alternate AI providers in the environment setup.
- No user-facing feature changes; all modifications are in skill metadata configuration.
v2.0.2
- Updated required environment variable from individual API keys to a unified AI_PROVIDER.
- Adjusted metadata to reflect the new environment variable requirement.
- No changes to user-facing features or functionality.
v2.0.1
Version 2.0.1
- Added MIT license and category metadata to SKILL.md.
- Expanded environment variable requirements to include provider-specific API keys.
- Updated metadata to specify safety level, manual audit, and safer API usage notes.
- Enhanced tags for better discoverability.
- General metadata structure improved for compatibility and clarity.
v2.0.0
AI Test Case Generator Pro 2.0.0 features major improvements focusing on multi-format support and automated quality review.
- Introduces multi-model review with Test Manager, Dev Manager, and Product Manager personas.
- Supports generating test cases from PDFs, Word documents, images, video, and plain text.
- Exports results to Excel, Markdown, and XMind formats.
- Implements a review loop ensuring test case quality ≥ 90/100, with reviewer comments and scoring across multiple dimensions.
- Enhanced parameter options for targeted test case generation and language support (English, Chinese).
元数据
常见问题
AI Test Case Generator 是什么？
Use when turning requirements, screenshots, or other QA inputs into structured test cases and review questions with an AI-assisted workflow. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 191 次。
如何安装 AI Test Case Generator？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install ai-testcase-generator」即可一键安装，无需额外配置。
AI Test Case Generator 是免费的吗？
是的，AI Test Case Generator 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
AI Test Case Generator 支持哪些平台？
AI Test Case Generator 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 AI Test Case Generator？
由 XuXu（@xuxuclassmate）开发并维护，当前版本 v1.0.1。
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