Description: Turn vague product ideas into AI-ready specs. Bilingual requirement closure checker for non-technical builders.把模糊的产品想法变成 AI Coding 能读懂的需求文档。面向没有产品背景的创作者，通过五步追问完成需求闭环。
v1.0.0Validates vague product requirements and user stories against five closure rules (actor, scenario, goal, actionable path). Returns structured follow-up quest...
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
Capability signals
These labels describe what authority the skill may exercise. They are separate from suspicious or malicious moderation verdicts.
OpenClaw
Benign
high confidencePurpose & Capability
Name/description (turn vague product ideas into structured specs) matches the included code and SKILL.md. Required binaries (python3/python) and dependency (pydantic) are appropriate for a Python-based text-checker; no unrelated services or credentials are requested.
Instruction Scope
SKILL.md instructs running protocol.py or calling logic_bridge_protocol(payload). The runtime instructions and code operate purely on the provided text, return JSON, and only provide follow-up questions or tasks; they do not read arbitrary files, access environment variables, or send data to external endpoints.
Install Mechanism
No install spec in registry; dependencies are standard Python packages (pydantic) listed in requirements.txt and documented in SKILL.md. There are no downloads from untrusted URLs or archive extraction steps.
Credentials
No environment variables, credentials, or config paths are requested. The code does not access os.environ or other secret sources. The single dependency (pydantic) is reasonable for input validation.
Persistence & Privilege
always is false and the skill does not request persistent/system-wide changes. It does not modify other skills or system configuration and does not store credentials.
Assessment
This skill appears to be a local Python utility that validates and expands product requirements; it doesn't exfiltrate data or request credentials. Before installing: (1) ensure you run it in a safe environment (it takes arbitrary text inputs); (2) install pydantic from the official PyPI source or within a virtual environment; (3) run the included test suite (python3 test_protocol.py) to confirm behavior in your environment. Remember that 'benign' here means coherent with its purpose — always avoid feeding sensitive secrets into third-party tools.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.
Runtime requirements
🧠 Clawdis
Any binpython3, python