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add-gpu-op

Add a new operation to the OpenVINO GPU plugin — OpenCL kernel design, oneDNN-backed paths, sub-group/LWS tuning, and functional tests.

57

Quality

66%

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./.github/agents-prototype/skills/add-gpu-op/SKILL.md
SKILL.md
Quality
Evals
Security

Low

Low-risk findings.

2 low severity findings. Worth noting, but not necessarily harmful.

Low

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

The required runtime workflow includes `intel-gpu-kernel` Step 0 via `plan-op-implementation` → `parse-op-spec`, which “fetches the webpage content” from a user-provided external URL (public docs/other websites) or reads pasted text, and that fetched free text is then used to build the LLM-visible op-spec summary/context—classic public web/free-form outsider content feeding the agent.

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Low

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 text includes runtime installation steps that git-clone remote repositories (git clone https://github.com/openvinotoolkit/openvino.git and git clone https://github.com/intel/opencl-intercept-layer.git) which fetch remote code that the workflow then builds/executes, so these are runtime external dependencies that can execute remote code.

Repository
openvinotoolkit/openvino
Audited
Security analysis
Snyk

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