Inclusion Criteria Gen
v1.0.0Generate and optimize clinical trial subject inclusion/exclusion criteria to balance scientific rigor with recruitment feasibility. Trigger when users need t...
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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 (inclusion/exclusion criteria generator) matches the packaged artifacts: SKILL.md, therapeutic-area templates, feasibility data, guidance documents, and a Python script that loads local templates and exposes CLI and Python APIs. There are no environment variables, binaries, or external services required that would be unexpected for this functionality.
Instruction Scope
SKILL.md instructs using the included scripts (CLI and Python API) and describes outputs and input JSON formats. The instructions and code operate on local templates and data files. Minor inconsistency: SKILL.md labels the skill type as 'Hybrid (Tool/Script + Network/API)' but the provided script and references show no network calls or external endpoints; this appears to be a documentation mismatch rather than malicious behavior.
Install Mechanism
There is no install spec and no network download/install steps. This is an instruction+code bundle where scripts and reference files are included in the package. No archives or remote URLs are used, reducing install risk.
Credentials
The skill does not require any environment variables, credentials, or config paths. The required Python libraries listed are minimal (dataclasses, enum) and consistent with the included script. There are no unexpected secret requests.
Persistence & Privilege
The skill is not always-enabled (always:false) and is user-invocable. The package does not attempt to modify other skills or system-wide settings in the provided files.
Assessment
This skill appears coherent and self-contained, but before using it: (1) Do not feed real patient-identifiable data (PHI) into the tool unless you have appropriate privacy controls and legal/IRB approval — de-identify data first. (2) Have clinical and regulatory experts review generated criteria before protocol submission; the tool provides suggestions not authoritative regulatory guidance. (3) Note the minor documentation mismatch (the SKILL.md mentions network/API capability but no network code is present); review future versions for any added network endpoints. (4) Run in an environment you control if you want to audit file I/O; the package operates on local reference files and outputs JSON reports.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.