deep-research
deep-research is a Physics, mathematics & simulation skill for AI agents, published by 312362115 in the claude repository on GitHub. Skillspace rates deep-research D (59/100) and it passed the safety scan; the rating is based on static analysis only.
深度调研技能：对任意命题进行系统性调研并输出专业研究报告。 覆盖技术选型、行业分析、学术研究、竞品分析、概念探索等所有调研场景。 核心方法论：快速扫描→假设驱动研究、内外数据结合（先摸清内部现状再对标外部水位）、 反面证据强制搜索、数据来源三级分类、结论置信度分级、多层次报告输出。 采用 Orchestrator-Subagent 架构（Lead+Sub-agent 并行深挖、压缩回传、Scaling Rules 预算控制）， 对齐 Anthropic 官方 Research 工程实践。 包含信息交叉验证、专业图表生成（Diagram Bridge 统一图表体系）、 数据来源分级标注、分析框架自动选择、报告组件驱动（不预设模板，按内容形态调用组件）、质量自检（6 步工作流）。 触发词：调研、研究、分析报告、对比分析、行业报告、技术选型、竞品分析、 市场调研、深度研究、出一份报告、帮我调研一下、了解一下xxx、 评估、诊断、健康度、差距分析。 即使用户没有明确说"调研"，只要意图是"系统性地了解某个命题并形成结论"，都应触发此技能。
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 108
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 56 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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