Caveat verdict

google-analytics

native-google-analytics

88
🟢 Trusted
No high-risk patterns surfaced by the deep scan — automated capability review, not behavioral proof.

GA4 analytics skill using OAuth2 credentials to call Google's official analyticsdata.googleapis.com; all credential use and network access is transparently in service of the stated analytics querying purpose.

⚠ Flagged for review — coarse, uncorroborated signal, not a confirmed exploit. Review the config yourself before installing.

Automated static analysis — not a human review. Caveat flags capabilities, not confirmed intent, and can produce false positives. Disagree with this verdict? Use Dispute below.

40
security
60
transparency
70
maintenance

Permission integrity

Installs packages at runtime — transitive dependencies are not auditable

package_install

Findings (4)

Pattern match critical

Possible hardcoded credential

SKILL.md · code · TOKEN:', creds.refresh_token)

Pattern match high

Pipe to python — executes piped content as Python code

SKILL.md · prose · downgraded · | python3

Pattern match low

Python urllib.request — network access

scripts/ga4_auth.py · prose · downgraded · urllib.request

Pattern match low

Python os.environ.get — reads environment variable

scripts/ga4_auth.py · prose · downgraded · os.environ.get(

Why the tier is capped

Execution sink present in raw bytes (Hard Floor: class C). Final tier capped at Caution — cannot be lifted by any downgrade, example-payload opt-in, or allowlist.

Permissions & capabilities

Requires 4 environment variables. (2 sensitive: GOOGLE_CLIENT_SECRET, GOOGLE_REFRESH_TOKEN). Requires 1 system binary.

package_installnetwork_in

Is this flag fair?

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