Patient Recruitment Ad Gen
v1.0.0Generate ethical, compliant, and patient-friendly recruitment advertisements for clinical trials.
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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 match the actual artifacts: SKILL.md, reference guidance, and a single Python script that formats recruitment text. The skill does not request unrelated credentials, system paths, or external tooling that would be disproportionate to generating recruitment ads.
Instruction Scope
Runtime instructions are narrowly scoped to validating inputs and running scripts/main.py. They do not instruct reading unrelated system files or sending data to external endpoints. Minor inconsistency: SKILL.md mentions editing an in-file CONFIG block and unpinned third-party packages, but scripts/main.py contains no CONFIG block and imports only Python stdlib modules, so the guidance is slightly misleading but not dangerous.
Install Mechanism
There is no install spec; this is instruction-plus-local-script only. That lowers surface risk — nothing is downloaded or written by an installer and the script uses only stdlib imports (argparse, json, datetime, typing).
Credentials
The skill requires no environment variables, no credentials, and no config paths. The script accepts inputs via CLI flags and prints or emits JSON; this is proportionate to the stated functionality. Note: SKILL.md's mention of unspecified third-party packages is unnecessary here because the script uses only stdlib.
Persistence & Privilege
The skill is not set to always:true and does not request ongoing presence or modify other skills. Autonomous model invocation is allowed (platform default) but not combined with any concerning privileges or credentials.
Assessment
This skill appears to do what it says: generate IRB/EC‑style recruitment text from the provided inputs. Before using it: (1) verify IRB/EC approval and legal/regulatory language for your jurisdiction before distributing any ad; (2) avoid pasting personal health information or participant identifiers into the inputs unless you control where outputs are stored; (3) note the small doc/code mismatch (SKILL.md mentions a CONFIG block and third‑party packages but the script uses only Python stdlib), so run python -m py_compile scripts/main.py and python scripts/main.py --help in a safe environment first to confirm behavior; (4) if you plan to integrate this into automated pipelines, ensure review and approval steps are preserved so ads are not published without human IRB review.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.