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在 OpenClaw 中安装
/install thinking-skill
功能描述
通过系统化元认知流程,深入解析任务、盘点技能、检索经验、规划路径与评估风险,提升复杂任务执行效果与效率。
安全使用建议
This skill is an instruction-only meta-skill that will ask the agent to read its own memories, session history, and available skill list to form plans — that behavior is expected for a planning tool but can surface private information from your agent's memory and conversation history. Before installing: 1) confirm you are comfortable with other installed skills and stored memories being consulted; 2) remember the skill itself does not send data externally, but examples (e.g., posting to Feishu) would require calling other skills/services that may need credentials — review and limit those integrations; 3) note the package.json references a src/index.ts that isn't included, which is acceptable for an instruction-only skill but worth being aware of. If you want stricter limits, restrict the agent's permission to access memory/session history or avoid granting downstream skills (e.g., messaging integrations) access to sensitive destinations.
功能分析
Type: OpenClaw Skill
Name: thinking-skill
Version: 1.1.0
The 'thinking-skill' bundle is a metacognitive framework designed to guide an AI agent through a structured six-step reasoning process (Task Analysis, Skill Inventory, Memory Retrieval, Path Planning, Risk Assessment, and Execution). The instructions in SKILL.md and README.md are entirely consistent with the stated goal of improving agent planning and reliability. There is no evidence of malicious intent, data exfiltration, or harmful prompt injection; in fact, the skill explicitly includes a 'Risk Assessment' step to identify potential API or permission issues before execution.
能力评估
Purpose & Capability
The name/description (meta-cognitive thinking and planning) align with the instructions: task analysis, skill inventory, memory retrieval, planning, and risk assessment. The skill references listing installed skills and searching agent memory/history — actions coherent with a planning/meta-skill.
Instruction Scope
SKILL.md instructs the agent to access agent-local resources (memory via memory_search, session history via sessions_history, and the skills list). Those are sensitive but appropriate for a thinking/meta-skill that must consult past context and available capabilities. The doc does not instruct reading unrelated system files or exfiltrating data externally. Examples mention sending reports to Feishu (飞书) — that would require invoking another (separate) Feishu/send-skill and credentials, which this skill does not request itself.
Install Mechanism
No install spec and no code files are present beyond metadata and documentation, so nothing is written to disk by an installer. This lowers risk and is consistent with being an instruction-only skill.
Credentials
The skill declares no required environment variables, credentials, or config paths. It does rely on agent-provided tools (memory_search, sessions_list/history) —appropriate for its purpose. There are no unrelated credential requests.
Persistence & Privilege
always is false and the skill does not request permanent presence or modify other skills/configs. It stores a lightweight thinking state conceptually, but as an instruction-only skill this is just guidance for agents and does not demand elevated platform privileges.
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 thinking-skill - 安装完成后,直接呼叫该 Skill 的名称或使用
/thinking-skill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
v1.1.0
v1.1: 更新为两步触发机制 - /thinking 标记后下一条消息才触发思考流程
v1.0.0
thinking-skill v1.0.0
- Initial public release.
- Provides a structured 6-step thinking and planning process for agents before execution.
- Includes detailed templates for task analysis, skill inventory, memory retrieval, path planning, risk assessment, and execution.
- Supports both English and Chinese trigger phrases.
- Clearly defines when to trigger or skip the thinking process.
- Offers user-facing markdown templates and technical implementation examples.
元数据
常见问题
Thinking - 深度思考与规划 是什么?
通过系统化元认知流程,深入解析任务、盘点技能、检索经验、规划路径与评估风险,提升复杂任务执行效果与效率。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 164 次。
如何安装 Thinking - 深度思考与规划?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install thinking-skill」即可一键安装,无需额外配置。
Thinking - 深度思考与规划 是免费的吗?
是的,Thinking - 深度思考与规划 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Thinking - 深度思考与规划 支持哪些平台?
Thinking - 深度思考与规划 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 Thinking - 深度思考与规划?
由 rfdiosuao(@rfdiosuao)开发并维护,当前版本 v1.1.0。
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