llm-integration
Expert skill for integrating local Large Language Models using llama.cpp and Ollama. Covers secure model loading, inference optimization, prompt handling, and protection against LLM-specific vulnerabilities including prompt injection, model theft, and denial of service attacks.
63
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Low
Low-risk findings worth noting
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tessl review fix ./skills/llm-integration/SKILL.mdLow
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
Third-party content exposure detected (high risk: 1.00). The skill explicitly shows fetching and summarizing arbitrary webpages (e.g., the "Indirect Injection Example" in references/security-examples.md using fetch_url(url) and the webpage summarization attack described in references/threat-model.md), so untrusted third‑party content is ingested and fed to the LLM where it can influence prompts and behavior.
- Repository
- martinholovsky/claude-skills-generator
- Commit
1086ef2
- Audited
- Security analysis
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