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".
64
80%
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Low
Low-risk findings worth noting
Fix and improve this skill with Tessl
tessl review fix ./skills/deep-research/SKILL.mdW011: 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 deep-research workflow actively fetches web content and search results via tools like Firecrawl, Exa, and WebFetch, making it a low-risk ingestion path for outsider-authored free text.
- Repository
- feiskyer/claude-code-settings
- Commit
95dab59
- Audited
- Security analysis
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