Translational Gap Analyzer
v1.0.0Assess translational gaps between preclinical models and human diseases.
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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 (assessing translational gaps) match the included assets: SKILL.md documents expected workflows and the packaged implementation is scripts/main.py containing domain-specific knowledge and scoring logic. The required environment/credentials are none, which is proportionate to the stated purpose.
Instruction Scope
SKILL.md instructs running python -m py_compile and python scripts/main.py with well-scoped command-line arguments; it references a 'CONFIG' block to edit if present and local references/README guidance. Minor inconsistency: the docs mention an in-file CONFIG block — review scripts/main.py to confirm such a block exists before editing, but this is not a high-risk issue.
Install Mechanism
No install spec is provided and the skill is instruction-only with a packaged script. This is low-risk: nothing is downloaded or written during install.
Credentials
The skill declares no required env vars, no credentials, and the script appears to be self-contained (uses internal knowledge dictionaries and standard library). There is no evidence of network access, secret handling, or unrelated credential requests.
Persistence & Privilege
Skill does not request persistent inclusion (always:false) and does not appear to modify agent/system configurations. Autonomous invocation is allowed by default but there are no additional privileges requested.
Assessment
This skill appears coherent and self-contained, but before installing or running it: 1) open scripts/main.py and scan the code for any unexpected network calls, filesystem writes, or subprocess executions (the included portion appears local-only); 2) run python -m py_compile scripts/main.py and python scripts/main.py --help in a sandbox or isolated environment first; 3) note that the source is 'unknown' (no homepage) — if provenance matters for your environment, ask the publisher for a canonical repository or additional review; 4) the requirements.txt lists built-in packages (dataclasses, enum) which is harmless but unnecessary for modern Python — ensure your runtime Python version matches the documented requirement (3.8+). If you want higher assurance, request the full untruncated main.py for review to confirm there are no hidden network or credential operations.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.