evaluating-llms-harness
lm-eval-harness: benchmark LLMs (MMLU, GSM8K, etc.).
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Low
Low-risk findings worth noting
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tessl review fix ./skills/mlops/evaluation/lm-evaluation-harness/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
The required runtime workflow in the docs involves evaluating tasks/datasets (e.g., via `--tasks ...` and configurable/custom tasks) whose benchmark contents are not authored by the operating user, and those text examples are fed into the model’s prompt context (indirect prompt injection risk via outsider-authored dataset/task text).
- Repository
- NousResearch/hermes-agent
- Commit
b7a05b6
- Audited
- Security analysis
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