llama.cpp local GGUF inference + HF Hub model discovery.
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Low
Low-risk findings worth noting
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tessl review fix ./skills/mlops/inference/llama-cpp/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.
This skill’s required runtime workflow explicitly instructs fetching Hugging Face “local-app” and page HTML/text (e.g., the `Hardware compatibility` section) from third-party repos, which is outsider-authored free-form text that would be placed into the agent/LLM context during extraction.
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.
I flagged these URLs because the skill explicitly instructs fetching and building remote code via git clone (https://github.com/ggml-org/llama.cpp and https://github.com/ggerganov/llama.cpp) and to fetch Hugging Face pages/API (https://huggingface.co/<repo>?local-app=llama.cpp and https://huggingface.co/api/models/<repo>/tree/main?recursive=true) at runtime to extract snippets/filenames that are then used to construct commands or run models, meaning external content is fetched during runtime and can directly control the agent's instructions or cause remote code to be executed.
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