Thinking Spark
v1.0.0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。
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & 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.
Assessment
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.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.