peft
Fine-tune large LLMs with LoRA on limited GPU memory.
56
66%
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Low
Low-risk findings worth noting
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tessl review fix ./optional-skills/mlops/peft/SKILL.mdLow
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 skill documents PEFT training code that tokenizes and trains on a specific dataset via `load_dataset(...)`/`dataset.map(...)` (e.g., `databricks/databricks-dolly-15k`), meaning outsider-authored free-text could be ingested if that dataset (or analogous user-supplied dataset) is not trusted.
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 troubleshooting guide includes installation commands that clone and build remote code (git clone https://github.com/TimDettmers/bitsandbytes.git followed by make / pip install .), which fetches and then executes external code during setup/runtime.
- Repository
- NousResearch/hermes-agent
- Commit
6680afb
- Audited
- Security analysis
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