laitszkin/deep-research
deep-research/SKILL.md
在互聯網上對特定主題進行深度搜索。 驗證資訊正確性。 生成附有官方來源的完整研究報告。
$ install --global
skillsauthnpx skillsauth add laitszkin/apollo-toolkit deep-researchInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: May 22, 2026, 6:43 AM276.4s1 file scanned
SKILL.md
- name:
- deep-research
- description:
- >-
目標
在互聯網上深度搜索目標資訊，並驗證其正確性。
驗收條件
- 生成了包含所需資訊的完整 deep research report
- deep research report 的內容已被驗證並確認屬實
工作流程
1. 網絡搜索
理解用戶需求。 調用外部工具在互聯網上全面搜索。 盡可能獲得詳細的資訊。 若用戶需查找程式碼相關內容，且該技術棧或代碼庫是開源專案，將其 clone 到臨時目錄。 深入閱讀相關代碼，以給出準確回答。 如果外部環境允許調用 subagents，建議通過並行調度 subagents 來完成搜索、閱讀等工作。
2. 報告生成
整理所有獲得的資訊。 通過網絡搜索驗證其正確性。 製作一份全面的報告。 引用官方文檔或代碼片段佐證報告內容。
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