Skill audit report
3D Deep Research（立体分析法）是一个证据链驱动的深度研究 Skill。用于对产品、公司、技术、概念、人物、行业、竞品、市场或复杂事件进行系统调研，并交付可追溯、可验证的 Markdown、HTML 与 PDF 报告。核心把 X 轴时间线因果链、Y 轴关键截面力场、Z 轴内部机制拆解汇合为机制判断，并支持问题驱动的图表配置与分层降密度写作。用户提到 deep research、深度研究、系统调研、竞品分析、市场研究、尽职调查、行业研究、来龙去脉、证据链或正式研究报告时使用。它不是 3D 建模、3D 渲染、CAD 或图形设计 Skill；简单名词解释、纯新闻摘要、短篇观点、仿写和无需证据链的简答不使用。
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
FAIL30
20 GitHub stars
Stars/forks activity
FAIL32
20 stars, 0 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
20d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO62
command execution surface, external package install surface
Install availability
PASS92
npx skills add jeffy-Peng/jeffy-skills --skill 3d-deep-research
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO62
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/jeffy-Peng/jeffy-skills/tree/main/3d-deep-research
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add jeffy-Peng/jeffy-skills --skill 3d-deep-research
Repository
88
https://github.com/jeffy-Peng/jeffy-skills/tree/main/3d-deep-research
License
86
MIT
Maintenance
100
20d since push
AI review
55
The skill is highly complex and may be overkill for simple research tasks, but this is a design choice rather than a defect.
README/SKILL.md completeness
86
Usable description available
Dependency risk
62
command execution surface, external package install surface
Install command safety
92
standard package or runtime install path
Permission surface
62
shell or command execution, filesystem or document access
Stars/forks activity
32
20 stars, 0 forks; issue activity unavailable in current metadata
Adoption
42
20 GitHub stars
Warnings
Method
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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