private-company-research
AI Berkshire skill: 未上市公司研究：多Agent并行深度研究框架. Source: skills/private-company-research.md.
56
63%
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Low
Low-risk findings worth noting
Fix and improve this skill with Tessl
tessl review fix ./codex-skills/private-company-research/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.md:801-849 instructs the required runtime workflow to use WebSearch/WebFetch to retrieve full text from public sources (e.g., arbitrary articles/media/reviews/comments) and then incorporate those fetched pages and snippets into the agents’ LLM-written reports, creating an indirect prompt-injection exposure surface from outsider-authored web content.
- Repository
- xbtlin/ai-berkshire
- Commit
634a399
- Audited
- Security analysis
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