inno-experiment-analysis
This skill should be used when the user asks to "analyze experimental results", "generate results section", "statistical analysis of experiments", "compare model performance", "create results visualization", or mentions connecting experimental data to paper writing. Provides comprehensive guidance for analyzing ML/AI experimental results and generating paper-ready content.
64
76%
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Low
Low-risk findings worth noting
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tessl review fix ./skills/inno-experiment-analysis/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
Skill runtime ingests user-provided experimental result files (e.g., CSV/JSON/TensorBoard logs/pickle) via the “Data Loading → Data Validation” step, meaning outsider-authored text inside those files can be processed without selecting a specific trusted item first.
- Repository
- OpenLAIR/dr-claw
- Commit
6da7f7c
- Audited
- Security analysis
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