Karpathy Query Feedback
v1.0.0Execute Karpathy LLM queries by searching memories via M-Flow, formatting results as wiki entries, and saving them for later compilation.
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bysune@sora-mury
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description (Karpathy Query → Wiki回流) match the implementation: the pipeline searches an M‑Flow memory, converts results to WikiEntry objects, and saves them under knowledge/wiki/. Declared dependency on m-flow-memory is appropriate for this functionality.
Instruction Scope
SKILL.md and scripts consistently instruct the agent to use M‑Flow, format entries as markdown table rows, and save them to a local wiki path. The code only reads/writes files under the skill's repo (knowledge/wiki/) and imports the local m-flow skill; there are no instructions to read unrelated system files, environment variables, or to transmit data to external endpoints.
Install Mechanism
No install spec is provided (instruction/code bundle only). There are no downloads or external installers; code is included in the skill. This is the lowest-risk install pattern for this platform.
Credentials
The skill requires no environment variables, credentials, or special config paths. It does dynamically import the m-flow skill from a relative path (declared as a dependency), which is expected and proportional to its purpose.
Persistence & Privilege
The skill creates and appends markdown files under knowledge/wiki/ (self-persistence of produced wiki content). always:false (not force-installed) and it does not modify other skills' configurations, but it will execute code from the local m-flow dependency at runtime via importlib (this is normal for code dependencies—review that dependency before trusting).
Assessment
This skill appears coherent and limited to local memory search and file writes. Before installing: 1) Verify and trust the declared dependency 'm-flow-memory' (the skill dynamically loads and executes that module from disk). 2) Be aware it will create/append files under knowledge/wiki/ in your environment. 3) There are no requested secrets or network calls in the provided code, but if you use this in a shared or production environment, review the m-flow and knowledge-distillation skills for any network or credential usage. If unsure, run it in a sandbox or inspect the m-flow dependency first.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.