Caveat verdict

analyze-geo-performance

geo-analyzer-deepseek

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

Two-stage LLM pipeline querying DeepSeek API for brand visibility analysis; declares no file writes or system permissions, calls only to api.deepseek.com.

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.

63
security
80
transparency
90
maintenance

Permission integrity

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

package_install

Findings (2)

Pattern match critical

Possible hardcoded credential

SKILL.md ยท code ยท API_KEY="your_deepseek_api_key_here

Pattern match low

Python os.getenv โ€” reads environment variable

main.py ยท prose ยท downgraded ยท os.getenv(

Permissions & capabilities

Requires 1 environment variable. (1 sensitive: DEEPSEEK_API_KEY). Requires 1 system binary.

package_install

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