Mouse Colony Planner
v1.0.0Calculate breeding timelines and cage requirements for transgenic mouse colonies
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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
The name/description (breeding timelines, cage requirements, cost estimation) match the included Python script and the command-line usage in SKILL.md. The script implements breeding schemes and cost/cage math consistent with the stated purpose. No unrelated services, credentials, or system subsystems are requested.
Instruction Scope
SKILL.md instructs running the provided script with command-line args and saving output to workspace; the script's logic operates on provided numeric inputs and constructs a plan. The doc mentions reading/writing files and validating input paths in its security checklist, but there are no instructions to read arbitrary host files or environment variables. Confirm how/where outputs are saved if you will run it in a shared workspace; the SKILL.md and code use only local runtime inputs.
Install Mechanism
There is no install spec; it is instruction-only except for a small Python script and requirements.txt. The requirements list only 'dataclasses' and 'enum' (both standard library or harmless backports) — no external downloads or remote installers are used.
Credentials
The skill requests no environment variables, no credentials, and no config paths. The script does not import networking or credential libraries. This is proportionate to the stated functionality.
Persistence & Privilege
The skill is not always-enabled and does not request elevated platform privileges. It does not modify other skills or system-wide settings, and contains no code to persist credentials or modify agent configuration.
Assessment
This skill appears to do what it says: a local Python tool for planning mouse breeding and costs. Before running it: 1) Review and confirm the units/currency — SKILL.md examples list costs in CNY while the code comments and CostParams use USD; make sure you supply the correct local cost values. 2) Inspect the full script (already included) and run it in a sandboxed environment if possible; it does not perform network access or read unexpected host files, but you should verify output file paths if you redirect results to disk. 3) The requirements.txt includes 'dataclasses' and 'enum' which are standard library modules on modern Python; ensure your Python version (3.7+) or environment handles those dependencies as expected. 4) If you will act on animal breeding plans, confirm assumptions (litter size, genotype ratios, husbandry rules) against your institution's animal-care policies and adjust parameters accordingly.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.