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Requirement Validator 是一个数据驱动的需求验证工具，通过多维度分析帮你判断需求是否值得实现。
作者
Socialite UCL LJH
· GitHub ↗
· v1.0.1
· MIT-0
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在 OpenClaw 中安装
/install requirement-validator
功能描述
需求真实性验证器 - 用数据验证需求的真实性，避免伪需求浪费资源。多维度验证用户一致性、需求频次、影响面、竞品覆盖、替代方案、ROI等。
安全使用建议
This package appears to be a local data-analysis tool: review the included scripts (scripts/validate.py) if you want to be sure, and run it on non-sensitive sample data first. Ensure python3 is installed and install dependencies (PyYAML) in an isolated environment (venv). Because it processes whatever CSV/JSON you provide, avoid feeding sensitive user data unless you trust the environment and have reviewed the code. If you need networked competitor lookups or integration with other systems, add/check those integrations deliberately (the current code runs locally and does not make external network requests).
功能分析
Type: OpenClaw Skill
Name: requirement-validator
Version: 1.0.1
The skill bundle is a legitimate tool for validating product requirements using data analysis. The Python script (scripts/validate.py) performs local data processing on CSV and JSON files using safe practices like yaml.safe_load() and lacks any network activity, shell execution, or data exfiltration logic.
能力评估
Purpose & Capability
Name/description (requirement validation) match the included code, examples, and config. Required binaries (python3, pip) are reasonable for running the provided Python script and YAML config.
Instruction Scope
SKILL.md instructs users to provide local CSV/JSON files or paste CSV content and to run the provided script. The runtime instructions and script operate on local files and configuration; there are no instructions to read unrelated system paths, environment secrets, or to send data externally.
Install Mechanism
No install spec or remote downloads are present; this is an instruction+code bundle meant to be run locally. All code is included in the repository (scripts/, examples/, config/).
Credentials
The skill declares no required environment variables or credentials, and the code does not attempt to access external credentials. Requiring pip is reasonable to install dependencies like PyYAML if absent.
Persistence & Privilege
Skill does not request always:true and is user-invocable. There is no code that modifies other skills or persists to global agent configuration.
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 requirement-validator - 安装完成后，直接呼叫该 Skill 的名称或使用
/requirement-validator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
**v1.0.1 Changelog**
- Added sample configuration and data files: validation_rules.yaml, user_feedback.csv, user_behavior.csv, competitor_data.json.
- Introduced example usage scripts and datasets in the `examples/` and `config/` directories.
- Added script `scripts/validate.py` for validating requirements with input data files.
- Updated documentation for simpler setup and quick start, including CSV format instructions and file-based validation.
v1.0.0
requirement-validator v1.0.0
- 初始版本发布
- 支持用户一致性、需求频次、影响面、竞品覆盖、替代方案、ROI 六大维度的需求真实性验证
- 提供自动评分体系及详细报告生成
- 支持单项和批量需求验证
- 可自定义验证维度权重与规则
元数据
常见问题
Requirement Validator 是一个数据驱动的需求验证工具，通过多维度分析帮你判断需求是否值得实现。 是什么？
需求真实性验证器 - 用数据验证需求的真实性，避免伪需求浪费资源。多维度验证用户一致性、需求频次、影响面、竞品覆盖、替代方案、ROI等。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 111 次。
如何安装 Requirement Validator 是一个数据驱动的需求验证工具，通过多维度分析帮你判断需求是否值得实现。？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install requirement-validator」即可一键安装，无需额外配置。
Requirement Validator 是一个数据驱动的需求验证工具，通过多维度分析帮你判断需求是否值得实现。 是免费的吗？
是的，Requirement Validator 是一个数据驱动的需求验证工具，通过多维度分析帮你判断需求是否值得实现。 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Requirement Validator 是一个数据驱动的需求验证工具，通过多维度分析帮你判断需求是否值得实现。 支持哪些平台？
Requirement Validator 是一个数据驱动的需求验证工具，通过多维度分析帮你判断需求是否值得实现。 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 Requirement Validator 是一个数据驱动的需求验证工具，通过多维度分析帮你判断需求是否值得实现。？
由 Socialite UCL LJH（@lijinhongucl-pixel）开发并维护，当前版本 v1.0.1。
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