deep-research
deep-research is a System prompts & personas skill for AI agents, published by feiskyer in the codex-settings repository on GitHub. Skillspace rates deep-research C (71/100) and it passed the safety scan; the rating is based on static analysis only.
深度调研的多实例（多 Agent）编排工作流：把一个调研目标拆成可并行子目标，用 Codex CLI 子进程采集和分析证据，再聚合、核验并精修为完整报告。用于系统性网页或资料调研、竞品与行业分析、批量链接或数据集分片、长文证据整合，以及用户提及深度调研、Deep Research、Wide Research、多 Agent 并行调研或多进程调研的场景。
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 218
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
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
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
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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