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Thinking Spark
作者
tianyn1990
· GitHub ↗
· v1.0.0
· MIT-0
268
总下载
0
收藏
2
当前安装
1
版本数
在 OpenClaw 中安装
/install thinking-spark
功能描述
记录思考火花与沉淀的系统。用于用户想要记录临时思考、想法、灵感火花，或者将思考整理沉淀为有条理的内容时触发。
安全使用建议
This skill appears coherent and local-only. Before installing: (1) confirm you are comfortable with it creating/writing the file ~/.openclaw/workspace/collection/思考火花.json and ensure the workspace directory has the desired permissions; (2) review the three Python scripts (they are short and operate only on that file); (3) note the SKILL.md mentions integration with long-term memory (MEMORY.md) but the shipped code does not perform automatic writes—if you expect automatic memory syncing, treat that as missing functionality; (4) run the scripts in a safe environment or inspect them manually if you want to verify behavior — there are no network calls or credential exfiltration in the code.
功能分析
Type: OpenClaw Skill
Name: thinking-spark
Version: 1.0.0
The 'thinking-spark' skill is a legitimate tool for recording and organizing ideas. It manages data locally in a JSON file (~/.openclaw/workspace/collection/思考火花.json) using standard Python libraries (os, json, sys). The scripts (create_spark.py, list_sparks.py, update_spark.py) implement basic CRUD operations with safe practices like atomic file replacement and contain no evidence of network activity, data exfiltration, or malicious command execution.
能力评估
Purpose & Capability
The name/description describe a local thinking-spark recording system; the included scripts create/list/update entries in a local JSON file under ~/.openclaw/workspace/collection/思考火花.json. The requested artifacts (no env vars, no binaries, no external services) match the stated purpose.
Instruction Scope
SKILL.md instructs use of local commands and the three provided scripts. It also mentions integration points (e.g., MEMORY.md, '待阅文章' refs) as conceptual integrations but there is no code that writes to any external memory file or service — that is a minor mismatch between documentation and implementation. The SKILL.md shows an example using jq + mktemp for atomic writes; the Python scripts implement atomic writes via a temp file + os.replace. The instructions do not ask the agent to read unrelated system files, environment secrets, or send data to external endpoints.
Install Mechanism
No install spec is provided (instruction-only with shipped scripts). There are no downloads, external package installs, or archive extraction steps. The scripts are plain Python and will run if Python is available.
Credentials
No environment variables, credentials, or external config paths are requested. The scripts use os.path.expanduser to read/write a file under the user's home (~/.openclaw/workspace/...), which is appropriate for a local journaling tool.
Persistence & Privilege
always is false and the skill does not request elevated privileges or modify other skills or system-wide agent settings. Its persistence is limited to writing its own JSON file in the user's workspace.
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-spark - 安装完成后，直接呼叫该 Skill 的名称或使用
/thinking-spark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
Thinking Spark 1.0.0 released!
- Introduces a system for recording and refining spontaneous thoughts and structured insights.
- Provides a flexible JSON data structure for storing sparks, refinement state, tags, priorities, and history.
- Offers clear commands for recording, refining, organizing, and linking thoughts within and across projects.
- Supports integration with reading lists, open source projects, and long-term memory modules.
- Includes scripts for deterministic updating and manipulation of spark data.
元数据
常见问题
Thinking Spark 是什么？
记录思考火花与沉淀的系统。用于用户想要记录临时思考、想法、灵感火花，或者将思考整理沉淀为有条理的内容时触发。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 268 次。
如何安装 Thinking Spark？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install thinking-spark」即可一键安装，无需额外配置。
Thinking Spark 是免费的吗？
是的，Thinking Spark 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Thinking Spark 支持哪些平台？
Thinking Spark 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 Spark？
由 tianyn1990（@tianyn1990）开发并维护，当前版本 v1.0.0。
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