kiln-check-finetune-deprecation
Check Kiln's fine-tunable model list for deprecated or unsupported base models. Use when the user wants to audit fine-tuning support, check if fine-tune base models are still valid, or mentions fine-tune model deprecation.
70
88%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
Low
Low-risk findings worth noting
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
Yes: the required workflow runs `scripts/check_finetune.py` which calls `fetch_fireworks_tunable(...)` (Fireworks API) and `fetch_fireworks_docs_models()` / `fetch_together_docs_models()` (public docs scraped at runtime), ingesting outsider-authored free-text/strings (model listings) into the LLM context via the skill’s reported findings/output.
- Repository
Kiln-AI/Kiln
- Revision
c66200f
- Audited
- Security analysis
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.