LinkedIn Optimizer
v1.0.0Use when optimizing LinkedIn profiles for doctors, physicians, nurses, healthcare professionals, or medical researchers. Crafts compelling headlines, writes...
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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 (LinkedIn profile optimization for healthcare professionals) matches the provided code and instructions. The packaged script (scripts/main.py) implements headline/about/keyword generation consistent with the stated purpose, and no unrelated capabilities (cloud access, system administration, network exfiltration) are requested.
Instruction Scope
Runtime instructions stay within the stated scope (compile/run the provided script, confirm inputs/output path). Minor inconsistencies: the Quick Start shows import from scripts.linkedin_optimizer (module not present) while the executable path is scripts/main.py; SKILL.md also mentions editing a CONFIG block though the script contains no explicit CONFIG section. These are documentation mismatches but do not imply extra privileges or hidden actions.
Install Mechanism
No install spec is present (instruction-only with a small packaged script). This is low-risk: nothing is downloaded or extracted from external URLs and no package managers are invoked.
Credentials
The skill declares no required environment variables, no credentials, and no config paths. The code also does not read environment variables or request secrets. This is proportionate to a small text-generation utility.
Persistence & Privilege
The skill does not request permanent presence (always is false) and does not claim to modify agent/system configuration. Autonomous invocation is allowed by default but is not combined here with broad credentials or suspicious behavior.
Assessment
This package appears small and coherent, but before installing: (1) verify origin since there's no homepage and the owner is an opaque ID; (2) inspect scripts/main.py yourself (it is short and benign); (3) run python -m py_compile scripts/main.py and run it in a sandbox or isolated environment first; (4) note the SKILL.md has small documentation mismatches (module import path and a referenced CONFIG block) — these are not dangerous but you may need to adjust invocation; (5) do not paste any PHI or patient-identifying information into the skill (it handles profile text only); and (6) if you plan to use this in production, pin Python package versions and source-control the code so you can audit future changes.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.