NumPy
v1.0.0Write fast, memory-efficient numerical code with arrays, broadcasting, vectorization, and linear algebra.
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byIván@ivangdavila
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 (NumPy helper) match the declared binary requirement (python3) and the content of SKILL.md: teaching and saving NumPy patterns and preferences. No extraneous credentials, config paths, or unrelated binaries are requested.
Instruction Scope
SKILL.md instructs the agent to create and read/write under ~/numpy/ (memory.md and snippets). That is coherent for a snippet/preference helper. It also mentions saving a preference to the agent's MAIN memory so the skill knows when to activate; this is a reasonable behavior but does extend beyond the skill's own folder into agent-level memory.
Install Mechanism
Instruction-only skill with no install spec and no code files — minimal risk because nothing is downloaded or written by an installer. It relies on an existing python3 binary, which is appropriate.
Credentials
No environment variables, secrets, or unrelated credentials are requested. Requested filesystem access is limited to a user-owned directory (~/numpy/) as documented.
Persistence & Privilege
always:false (normal) and disable-model-invocation:false (normal). The skill will persist data under ~/numpy/ and writes some preferences into MAIN memory per setup.md; persisting user preferences/snippets is expected, but users should be aware it will store code and preferences locally and record activation choices in agent memory.
Assessment
This skill appears coherent and local: it needs python3 and will create ~/numpy/ to store preferences and code snippets and will write a preference into the agent's MAIN memory to remember when to activate. Before installing, confirm you’re comfortable with the skill saving code/snippets locally and adding activation preferences to the agent memory. Also ensure python3 is the intended interpreter on your system. There is no declared network activity or secret access, but remember the SKILL.md is a set of instructions the agent will follow — if you want stronger guarantees, inspect agent logs or the created ~/numpy/ files after first use.Like a lobster shell, security has layers — review code before you run it.
latestvk97847drh7cr89g8vzpdts26r981vn0z
License
MIT-0
Free to use, modify, and redistribute. No attribution required.
Runtime requirements
🔢 Clawdis
OSLinux · macOS · Windows
Binspython3