Caveat verdict

SEEM

seem-skill

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

Episodic memory system using LLM and embedding APIs with user-supplied keys; stores conversation memories locally with all API calls going to user-configured endpoints.

⚠ 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.

55
security
80
transparency
90
maintenance

Permission integrity

Installs packages at runtime — transitive dependencies are not auditable

package_install

Findings (3)

Pattern match critical

Possible hardcoded credential

SKILL.md · code · api_key="your-key

Pattern match low

Python os.getenv — reads environment variable

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

Pattern match low

Python shutil file operation — copies/moves/deletes files

core/seem_skill.py · prose · downgraded · shutil.rmtree(

Permissions & capabilities

Requires 2 environment variables. (2 sensitive: LLM_API_KEY, MM_ENCODER_API_KEY). Requires 2 system binaries. (1 elevated: pip).

data_encodingpackage_install

Is this flag fair?

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