Caveat verdict

Moltbook Trend Analysis

analyze-moltbook-trending-posts

88
๐ŸŸข Trusted
No high-risk patterns surfaced by the deep scan โ€” automated capability review, not behavioral proof.

Fetches public trending data from Moltbook's API and saves snapshots locally for analysis; the external API call is to the service's own public endpoint and serves the stated content strategy purpose.

โš  Flagged for review โ€” coarse, uncorroborated signal, not a confirmed exploit. Review the config yourself before installing.

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

48
security
90
transparency
90
maintenance

Permission integrity

Installs packages at runtime โ€” transitive dependencies are not auditable

package_install

Findings (3)

Pattern match high

apt-get install โ€” installs system packages

SKILL.md ยท code ยท apt-get install

Pattern match high

Pipe to python โ€” executes piped content as Python code

scripts/fetch_trends.sh ยท prose ยท downgraded ยท | python3

Pattern match low

Popular HTTP library โ€” network access

scripts/compare_snapshots.py ยท prose ยท downgraded ยท got

Why the tier is capped

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

Permissions & capabilities

Requires 3 system binaries. (1 elevated: curl).

package_install

Is this flag fair?

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