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在 OpenClaw 中安装
/install play-rediscovery-guide
功能描述
Helps adults rediscover and integrate play as a tool for creativity, connection, and stress relief.
安全使用建议
This skill appears coherent and low-risk: it runs only local text parsing and returns JSON recommendations, asks for no credentials, and does not call external services. Before installing, you may want to (1) inspect handler.py yourself or run the included tests in a sandbox to confirm behavior, (2) ensure you do not paste sensitive personal health/legal details into the skill (it is not a professional substitute), and (3) confirm you are comfortable with the agent invoking the skill autonomously (normal default). The code contains some redundant conditional branches comparing static strings (harmless but sloppy); if you require stricter cleanliness, ask the author to remove dead code.
功能分析
Type: OpenClaw Skill
Name: play-rediscovery-guide
Version: 1.0.0
The skill bundle is a purely descriptive tool for personal growth and self-reflection. The Python code in handler.py performs basic string analysis and returns static JSON responses without any high-risk operations such as shell execution, network requests, or file system access. No evidence of malicious intent, data exfiltration, or prompt injection was found across the SKILL.md or code files.
能力评估
Purpose & Capability
Name and description match the actual implementation: a purely descriptive personal-growth helper that analyzes user text and returns structured JSON recommendations. The included handler.py and tests perform only local text parsing and synthesis; there are no unrelated dependencies or credential requests. Minor code oddities (repeated literal comparisons against different skill slugs that will never match except the correct one) are present but do not affect capability or introduce hidden behavior.
Instruction Scope
SKILL.md is focused on reflection, exercises, and guidance and explicitly disclaims medical/legal advice and that it does not store personal data between sessions. The runtime code does not read files, environment variables, or external endpoints and the README/ACCEPTANCE criteria forbid external APIs and code execution.
Install Mechanism
No install spec is provided (instruction-only skill), and the packaged code contains only local parsing logic and tests. Nothing is downloaded or extracted during installation.
Credentials
The skill declares no required environment variables, credentials, or config paths and the code does not access os.environ or external secrets. Requested privileges are minimal and proportionate to its described purpose.
Persistence & Privilege
always is false and the skill does not request persistent system presence or modify other skills' configuration. Autonomous invocation is allowed by default but is not combined with broad access or suspicious behavior here.
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 play-rediscovery-guide - 安装完成后，直接呼叫该 Skill 的名称或使用
/play-rediscovery-guide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
v1.0.0
Play Rediscovery Guide 1.0.0
- Initial release introducing a comprehensive guide for adults to reconnect with genuine play.
- Includes diagnostic reflection exercises to explore personal play history and beliefs.
- Features an "Anti-Shame Framework" with cognitive reframing to address common barriers to adult play.
- Provides personalized, adult-appropriate play experiments and practical daily integration tips.
- Offers detailed background on the importance and types of play for creativity, stress relief, and connection.
- Contains FAQs, example prompts, safety information, and suggestions for deepening practice.
元数据
常见问题
Play Rediscovery Guide 是什么？
Helps adults rediscover and integrate play as a tool for creativity, connection, and stress relief. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 123 次。
如何安装 Play Rediscovery Guide？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install play-rediscovery-guide」即可一键安装，无需额外配置。
Play Rediscovery Guide 是免费的吗？
是的，Play Rediscovery Guide 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Play Rediscovery Guide 支持哪些平台？
Play Rediscovery Guide 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 Play Rediscovery Guide？
由 haidong（@harrylabsj）开发并维护，当前版本 v1.0.0。
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