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。

v1.0.1

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。

0· 103·1 current·1 all-time
bySocialite UCL LJH@lijinhongucl-pixel

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for lijinhongucl-pixel/requirement-validator.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "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。" (lijinhongucl-pixel/requirement-validator) from ClawHub.
Skill page: https://clawhub.ai/lijinhongucl-pixel/requirement-validator
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Required binaries: python3, pip
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install requirement-validator

ClawHub CLI

Package manager switcher

npx clawhub@latest install requirement-validator
Security Scan
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Benign
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OpenClawOpenClaw
Benign
high confidence
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.
Assessment
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).

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

🔬 Clawdis
Binspython3, pip
latestvk978q1cynkjkz0jj4q7b5h3jsn84ey94
103downloads
0stars
2versions
Updated 2w ago
v1.0.1
MIT-0

🔬 需求真实性验证器

核心价值

用数据验证需求的真实性,避免伪需求浪费资源。

快速开始

方式1:提供数据文件

# 准备CSV文件(user_feedback.csv)
user_id,content,timestamp
user1,"需要导出PDF功能",2026-04-01
user2,"希望支持批量操作",2026-04-02

# 运行验证
python3 scripts/validate.py --file user_feedback.csv --requirement "导出PDF"

方式2:交互式验证

用户: 帮我验证"导出PDF"这个需求
助手: 请提供用户反馈数据(粘贴CSV内容或上传文件)
用户: [粘贴数据]
助手: [生成验证报告]

验证维度

维度权重说明
用户一致性30%用户说的 vs 做的
需求频次20%反馈人数统计
影响面15%影响用户数
竞品覆盖10%竞品是否有
替代方案15%现有功能
ROI评估10%成本收益

评分体系

  • ⭐⭐⭐⭐⭐ 高真实(80-100)- 强烈建议
  • ⭐⭐⭐⭐ 中高真实(60-80)- 建议实现
  • ⭐⭐⭐ 中等真实(40-60)- 需要验证
  • ⭐⭐ 低真实(20-40)- 暂不推荐
  • ⭐ 伪需求(0-20)- 拒绝

使用示例

查看 examples/ 目录获取完整示例。

配置

编辑 config/validation_rules.yaml 调整权重和阈值。


Stop guessing. Start validating. 🔬

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