liger-kernel-dev
Develops production-ready Triton kernels for Liger Kernel. Creates new kernels from PyTorch operations (local files, URLs, code snippets, or natural language) with ops, module wrappers, functional APIs, unit tests, benchmarks, and plots. Also modifies existing Liger kernels. Use when adding a new Triton kernel, converting a PyTorch operation to Triton, or updating an existing Liger kernel.
70
86%
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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
SKILL.md Stage 1 (Analyzer) instructs the Analyzer to accept a URL input and “fetch via WebFetch tool,” meaning outsider-authored free text from public web pages can be read at runtime and included in the Analyzer/agent LLM context.
- Repository
- linkedin/Liger-Kernel
- Commit
7777995
- Audited
- Security analysis
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