liger-autopatch
Adds Liger Kernel support for a new HuggingFace Transformers model, or modifies existing monkey-patching. Generates lce_forward, monkey-patch function, tests, and README entry. Use when adding a new model to Liger Kernel, when a user asks to patch an unsupported model, when extending MODEL_TYPE_TO_APPLY_LIGER_FN, or when modifying/updating/fixing an existing monkey-patch (e.g., adding a new kernel to an already-supported model, fixing instance patching, updating a patch for upstream HF changes).
74
92%
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Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. 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
The required runtime workflow reads HuggingFace `modeling_{model_type}.py` / `configuration_{model_type}.py` from disk as part of Stage 1 (Model Analyzer), i.e., text originating from an external model repository that the operating user did not author, which can indirectly supply free-form comments/docstrings into the agent’s LLM context during analysis.
- Repository
- linkedin/Liger-Kernel
- Commit
7777995
- Audited
- Security analysis
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