autoresearch
Run Karpathy-style autoresearch optimization on any content. Generates 50+ variants, scores with a 5-expert simulated panel, evolves winners through multiple rounds, outputs optimized version + full experiment log. Use when optimizing landing pages, email sequences, ad copy, headlines, form pages, CTA text, or any conversion-focused content. Triggers on "optimize this page", "run autoresearch", "score these variants", "A/B test this copy".
71
87%
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Low
Low-risk findings worth noting
Low
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 runtime workflow reads the operating user-supplied input file via `content = input_path.read_text()` and then embeds that outsider-authored free text directly into the LLM prompts for generation/scoring (e.g., `Current text: {current_text}`), so if the input content came from an outside party, it becomes LLM context (indirect prompt-injection risk).
- Repository
- ericosiu/ai-marketing-skills
- Commit
2eb0f34
- Audited
- Security analysis
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