Insurance Agent Video

v1.0.0

Creates short videos that educate clients on coverage, build trust, and showcase the agent’s claims advocacy and annual review expertise.

0· 38·0 current·0 all-time
MIT-0
Download zip
LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
VirusTotalVirusTotal
Pending
View report →
OpenClawOpenClaw
Benign
high confidence
Purpose & Capability
Name and description match the SKILL.md instructions: soliciting video type and agent-specific information to generate short scripts for insurance agents. Nothing requested outside of producing marketing/education videos.
Instruction Scope
Instructions ask the agent to 'gather' carrier relationships, client demographic info, and claims advocacy examples — reasonable for producing authentic videos but this invites collecting potentially sensitive or personally identifiable information (PII) and claims details. The SKILL.md does not provide guidance on anonymization, consent, or what to avoid (policy numbers, SSNs, medical details), nor does it instruct where outputs may be sent. Recommend explicit safeguards before use.
Install Mechanism
No install spec and no code files — instruction-only skill that does not write files or download code. Lowest install risk.
Credentials
Skill declares no required environment variables, credentials, or config paths. Requested inputs in the instructions are agent/agent-client domain data (agent details and client examples) which align with the purpose.
Persistence & Privilege
always is false and the skill does not request elevated or persistent privileges. disable-model-invocation is default (agent may invoke autonomously) — expected behavior and acceptable here given the limited scope and lack of sensitive integrations.
Assessment
This skill appears coherent and low-risk from a system perspective, but be cautious about the content you provide: do not paste or ask for PII (names, policy numbers, SSNs, medical details), and avoid disclosing identifiable claim facts without client consent. Before using outputs externally, review and edit scripts to remove sensitive details, obtain written consent from clients if you reference their stories, and ensure compliance with applicable privacy and insurance regulations. If you want automatic handling of client stories, add explicit anonymization and consent-check steps to the prompts.

Like a lobster shell, security has layers — review code before you run it.

latestvk97775cqszb5q4zzh09m0bv4wn843zd8

License

MIT-0
Free to use, modify, and redistribute. No attribution required.

Comments