verify-conversion
E2E gate — verifies that applied patches produce a working, numerically sane end-to-end inference through the OpenVINO plugin. Handles HuggingFace/optimum-intel, native OV conversion (ovc/convert_model), and ONNX. Used by orchestrators as the mandatory gate before any PR is published.
72
88%
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Low
Low-risk findings worth noting
Low
Low-risk findings.
2 low severity findings. Worth noting, but not necessarily harmful.
W011: Third-party content exposure detected (indirect prompt injection risk).
What this means
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Why it was flagged
SKILL.md instructs the agent to fetch model configuration/tokenizer code from an outsider-controlled HuggingFace `MODEL_ID` via `AutoConfig.from_pretrained(..., trust_remote_code=True)` and `AutoTokenizer/model.from_pretrained(..., trust_remote_code=True)` (public web content), so free-form code/text from that source can be ingested/executed as part of the runtime LLM context/instructions path.
W012: Unverifiable external dependency detected (runtime URL that controls agent).
What this means
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
Why it was flagged
The skill explicitly fetches HuggingFace model IDs like "org/name" at runtime (see optimum-cli --model "$MODEL_ID" and AutoConfig.from_pretrained / from_pretrained called with trust_remote_code=True), which will download and execute remote model repository code that can control runtime behavior.
- Repository
- openvinotoolkit/openvino
- Commit
4c20980
- Audited
- Security analysis
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