Universal Occupation Adapter

通用职业适配器 —— 输入任何职业名称，自动生成完整的职业专用认知Skill，让SOUL哲学覆盖所有职业

This skill's documentation promises a Python API, automatic generation, verification, and publishing of new 'occupation' skills, but the package contains only instructions and templates — no executable code or declared credentials. Before installing or invoking it: - Ask the author for the missing implementation (the UniversalOccupationAdapter module) or a clear disclaimer that the SKILL.md is a high-level spec only. - Do not enable auto_publish/auto_verify or any batch auto-run flags until you know where outputs will be sent and whether publishing requires credentials. - Expect the adapter to perform web searches and create files in the workspace; run it in a sandboxed environment or review generated files before publishing. - If you intend to use publishing features (ClawHub/GitHub), require explicit documentation about what credentials are needed and how they are stored; prefer personal tokens with least privilege. - If you need high assurance, request unit tests or an actual implementation package and review that code before granting network access or tokens.

Type: OpenClaw Skill Name: universal-occupation-adapter Version: 1.0.0 The 'universal-occupation-adapter' is a meta-skill bundle designed to provide a framework for an AI agent to generate specialized professional 'cognition' skills. The SKILL.md file defines a structured 5-dimension model (SOUL) and provides templates for various professions (e.g., doctors, programmers, teachers) that include safety-oriented 'redlines' such as avoiding data leaks and hardcoded keys. There is no evidence of malicious code, data exfiltration, or harmful prompt injection; the logic is entirely focused on role-playing and skill generation within the OpenClaw ecosystem.