personal-data-protection

personal-data-protection is a Privacy & regulatory compliance skill for AI agents, published by hashgraph-online in the awesome-codex-plugins repository on GitHub. Skillspace rates personal-data-protection D (65/100) and it passed the safety scan; the rating is based on static analysis only.

Personal-data-protection compliance reference for engineers building applications subject to Singapore PDPA, Indonesia UU PDP 27/2022, Thailand PDPA B.E. 2562 (2019), Malaysia PDPA 2010 (with the 2024 Amendments), or Philippines DPA (RA 10173). Use when reviewing or modifying code that touches personal data — signup/auth/consent, data export, account deletion, retention/purging, admin access controls, third-party processors, breach response, or privacy/T&C documents. On first use in a new project, asks which jurisdiction(s) apply and loads only those.

Grade
D
Quality
65 / 100
Safety
Passed
GitHub stars
1,005

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, so go by its current files.

View source on GitHubhashgraph-online/awesome-codex-plugins

Our review

Architecture
94 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Not declared. Check the repository before reusing it.

Not checked yet

  • Category is a classifier prediction; no model has read this skill 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

Better-rated skills in Privacy & regulatory compliance

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