Detect LGPD privacy violations in source code using pattern-based checks.
npx skills add https://github.com/metricasboss/otto --skill otto-metricasboss
Please help me install this Agent Skill. Skill: otto Source: https://github.com/metricasboss/otto/tree/main/skills/lgpd Command: npx skills add https://github.com/metricasboss/otto --skill otto-metricasboss
OTTO LGPD Guard helps teams prevent privacy violations by scanning code for LGPD-related risks and sensitive data exposures before changes reach production.
Run an LGPD privacy analysis on your codebase to identify violations and receive concrete remediation steps.
High-intent search queries and answers about installing and using this skill.
LGPD privacy violations in source code are detected using pattern-based checks defined in patterns.json, which identify hardcoded personal data like CPF and RG, risky logging, and unauthorized data sharing, while assessing risk and proposing remediation steps.
It detects hardcoded personal data including CPF, RG, email, and phone numbers, and flags risky logging, analytics tracking without consent, and unauthorized data sharing scenarios within source code.
You should run an LGPD privacy analysis before commits that modify data collection, logging, or analytics, catching violations early to reduce the risk of fines before changes reach production.
Yes, when risky logging or analytics tracking without consent is flagged, the analysis assesses the risk and proposes concrete remediation steps to resolve the LGPD violation.
The best way to prevent LGPD violations before production is to run a privacy scan that catches hardcoded personal data exposures and unauthorized data sharing early, reducing the risk of fines.
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