ga-use
Pass
Audited by Gen Agent Trust Hub on Aug 27, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill interacts exclusively with official Google Analytics 4 API endpoints using the supported
google-analytics-dataclient library. There are no signs of unauthorized network activity or data exfiltration to non-whitelisted domains. - [SAFE]: Credential management is performed using OAuth2 tokens stored in a local
.ga4/token.jsonfile. The scripts include secure handling of these tokens, including automated refreshing and validation of required scopes (analytics.readonly). - [SAFE]: The skill implements extensive input validation and sanitization through the
ga4_reporting.pymodule. This includes checks for camelCase vs. snake_case keys, type enforcement for JSON parameters, and range validation for dates and offsets, which effectively prevents malformed requests from reaching the API. - [SAFE]: No dangerous dynamic execution patterns such as
eval(),exec(), or unsafe deserialization were identified. Data processing is handled through standard JSON parsing and structured API objects. - [SAFE]: The instructions and code include sophisticated defensive mechanisms to warn the agent about common GA4 data pitfalls, such as data sampling, privacy thresholding, and the non-additive nature of certain metrics (e.g., active users), ensuring the generated insights are reliable and safe for business use.
- [SAFE]: The skill relies on legitimate dependencies specified in
requirements.txt(google-analytics-data,pytest) and operates within a standard virtual environment, avoiding suspicious remote code execution or installation patterns.
Audit Metadata