Sample Size (Basic)
v1.0.0Basic sample size calculator for clinical research planning with common statistical scenarios
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byAIpoch@aipoch-ai
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 (sample size calculator) matches the provided Python script and declared dependencies (numpy, scipy). Nothing requested (no env vars, no special binaries) is outside what a basic statistical calculator would need.
Instruction Scope
SKILL.md instructs installing dependencies (pip install -r requirements.txt) and lists risk items such as reading/writing files, but the included script only accepts command-line arguments and prints results (it does not read arbitrary files or transmit data). The minor mismatch (documentation mentions file I/O, code does not) is not dangerous but should be corrected for accuracy.
Install Mechanism
There is no install spec; the package is instruction-only with an included script and a requirements.txt that lists common scientific packages from PyPI (numpy, scipy). No unusual downloads, URLs, or archive extraction are present.
Credentials
The skill requests no environment variables, credentials, or config paths. This is proportionate to its stated functionality.
Persistence & Privilege
always is false and the skill does not request persistent/system privileges or modify other skills/configuration. It is user-invocable and can be run by the agent (default), which is appropriate for a tool-like skill.
Assessment
This skill appears coherent and low-risk for local use: run it in a virtual environment and inspect the included scripts (scripts/main.py) before executing. Because the package source/homepage are not provided, consider pinning dependency versions (requirements.txt currently lists unpinned numpy and scipy) to reduce supply-chain risk. Note the SKILL.md mentions file I/O but the script currently only uses command-line arguments and prints results — if you expect file-based input/output, verify or modify the script safely. Finally, run it in a sandbox or isolated environment if you plan to use it with sensitive data or include it in an automated agent workflow.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.