nanogpt
Educational GPT implementation in ~300 lines. Reproduces GPT-2 (124M) on OpenWebText. Clean, hackable code for learning transformers. By Andrej Karpathy. Perfect for understanding GPT architecture from scratch. Train on Shakespeare (CPU) or OpenWebText (multi-GPU).
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Low
Low-risk findings worth noting
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tessl review fix ./backend/cli/skills/ml-training/nanogpt/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
references/data.md / references/training.md describes runtime downloading of Shakespeare/OpenWebText from public URLs/datasets (outsider-authored text) and reading it via requests.load_dataset before tokenization, which can introduce indirect prompt-injection style content into the model’s training text pipeline.
- Repository
- synthetic-sciences/openscience
- Commit
52845c3
- Audited
- Security analysis
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