Caveat verdict

aliyun-qwen-vl

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

Visual language model skill using Qwen VL models with env-var credentials and documented multimodal chat API calls aligned with its stated vision-language 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.

75
security
60
transparency
90
maintenance

Permission integrity

Makes network requests but does not declare curl/wget in required binaries

network_out

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

package_install

Findings (2)

Pattern match low

Python os.environ.get โ€” reads environment variable

scripts/analyze_image.py ยท prose ยท downgraded ยท os.environ.get(

Pattern match low

Python os.getenv โ€” reads environment variable

scripts/analyze_image.py ยท prose ยท downgraded ยท os.getenv(

Permissions & capabilities

No declared permissions โ€” minimal attack surface.

package_installnetwork_outcredential_access

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