Caveat verdict

autoecom

18
🔴 Dangerous
High-risk patterns flagged for review — automated deep scan, not behaviorally verified.

The skill uses WebFetch, vision, and Gemini APIs to generate product carousels. However, it executes a complex pipeline involving agent auto-extraction, image generation, and Upload-Post API calls, which could lead to security risks if not properly sanitized.

⚠ 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.

60
security
70
transparency
70
maintenance

Permission integrity

Installs packages at runtime — transitive dependencies are not auditable

package_install

Findings (5)

Pattern match medium

Social engineering — falsely claims user authorization

SKILL.md · prose · downgraded · the user has configured

Pattern match medium

os.system/popen — direct OS command execution

SKILL.md · prose · downgraded · os.system(

Pattern match medium

Instructs covert action — may act without user awareness

SKILL.md · prose · downgraded · silently

Pattern match low

Python os.getenv — reads environment variable

autoecom.py · prose · downgraded · os.getenv(

Pattern match low

Popular HTTP library — network access

autoecom.py · prose · downgraded · got

Why the tier is capped

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

Permissions & capabilities

No declared permissions — minimal attack surface.

package_install

Is this flag fair?

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