claude-maintain-models
Add new AI models to Kiln's ml_model_list.py and produce a Discord announcement. Use when the user wants to add, integrate, or register a new LLM model (e.g. Claude, GPT, DeepSeek, Gemini, Kimi, Qwen, Grok) into the Kiln model list, mentions adding a model to ml_model_list.py, asks to discover/find new models that are available but not yet in Kiln, or wants to add a net-new AI provider to Kiln.
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Low
Low-risk findings worth noting
Low
Low-risk findings.
2 low severity findings. 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 ingests free text from external, outsider-authored sources via web/API responses used during “Phase 1 – Model Discovery” and “Phase 2 – Gather Context” (e.g., models.dev JSON and LiteLLM catalog results are read and processed at runtime after searching terms).
W012: Unverifiable external dependency detected (runtime URL that controls agent).
What this means
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.
Why it was flagged
The skill documentation references a git dependency pinned at https://github.com/scosman/together-python which is fetched during environment build (uv sync / venv creation) and therefore can execute remote code as a required runtime dependency.
- Repository
- Kiln-AI/Kiln
- Commit
ff39535
- Audited
- Security analysis
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