privacy-data-security
privacy-data-security is a Privacy & regulatory compliance skill for AI agents, published by JoelLewis in the finance_skills repository on GitHub. Skillspace rates privacy-data-security F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
Design and operate privacy and data security programs for SEC-registered firms under Reg S-P, Reg S-ID, and SEC cybersecurity expectations. Use when the user asks about privacy notices, the Safeguards Rule, identity theft prevention programs, breach notification obligations, vendor security due diligence, incident response planning, data classification, or state privacy law compliance. Also trigger when users mention 'customer data was exposed', 'do we need to notify clients of a breach', 'cybersecurity exam prep', 'cloud vendor risk assessment', 'encrypting client data', 'BYOD security policy', 'Red Flags Rule', 'NY DFS 500 requirements', or ask how to handle a cybersecurity incident.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 151
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- High-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- exfiltration language
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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