Add a new operation to the OpenVINO GPU plugin — OpenCL kernel design, oneDNN-backed paths, sub-group/LWS tuning, and functional tests.
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tessl review fix ./.github/agents-prototype/skills/add-gpu-op/SKILL.mdLow
Low-risk findings.
2 low severity findings. Worth noting, but not necessarily harmful.
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.
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.
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.
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.
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