deep-research
Multi-agent research orchestration: split a research goal into parallel sub-goals, run each via headless `claude -p` subprocesses, aggregate results into a polished report file. Use for systematic web/document research, competitive or industry analysis, batch link/dataset processing, and long-form evidence synthesis. Triggers: "深度调研", "deep research", "wide research", "多 Agent 调研", "系统调研".
72
88%
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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
Deep Research 工作流会在摸底/采集阶段通过联网工具（优先 skills、其次 MCP 的 firecrawl/exa、必要时 WebFetch/WebSearch）抓取网页正文与搜索结果，并将其作为素材喂给主/子进程进行分析，因此外部作者可通过可访问的网页/页面内容实现间接提示注入风险。
- Repository
- feiskyer/claude-code-settings
- Commit
45ad30f
- Audited
- Security analysis
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