GitHub Deep Research
bytedance/deer-flow
Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
用 Codex CLI 子任务完成多来源深度调研并综合成带出处的报告。用于确实需要分头取证的研究，不用于单次查证或已给定材料的总结。
Install Deep Research
$ npx skills add feiskyer/codex-settings --skill deep-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install feiskyer/codex-settings deep-research --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/feiskyer/codex-settings.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/deep-research .claude/skills/deep-research && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "deep-research" agent skill from https://github.com/feiskyer/codex-settings/tree/main/skills/deep-research into .claude/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/feiskyer/codex-settings/tree/main/skills/deep-researchType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add feiskyer/codex-settings --skill deep-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install feiskyer/codex-settings deep-research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/feiskyer/codex-settings.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/deep-research .agents/skills/deep-research && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "deep-research" agent skill from https://github.com/feiskyer/codex-settings/tree/main/skills/deep-research into .agents/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add feiskyer/codex-settings --skill deep-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install feiskyer/codex-settings deep-research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/feiskyer/codex-settings.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/deep-research .cursor/skills/deep-research && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "deep-research" agent skill from https://github.com/feiskyer/codex-settings/tree/main/skills/deep-research into .cursor/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/feiskyer/codex-settings.git --path skills/deep-research--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add feiskyer/codex-settings --skill deep-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install feiskyer/codex-settings deep-research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/feiskyer/codex-settings.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/deep-research .gemini/skills/deep-research && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "deep-research" agent skill from https://github.com/feiskyer/codex-settings/tree/main/skills/deep-research into .gemini/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install feiskyer/codex-settings deep-researchInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add feiskyer/codex-settings --skill deep-research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/feiskyer/codex-settings.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/deep-research .github/skills/deep-research && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "deep-research" agent skill from https://github.com/feiskyer/codex-settings/tree/main/skills/deep-research into .github/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add feiskyer/codex-settings --skill deep-research -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install feiskyer/codex-settings deep-research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/feiskyer/codex-settings.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/deep-research .opencode/skills/deep-research && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "deep-research" agent skill from https://github.com/feiskyer/codex-settings/tree/main/skills/deep-research into .opencode/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
deep-research- GitHub stars
- 244
- Token cost
- ~302 tokens
- SKILL.md length
- 55 words
- Files
- 6 (incl. scripts, references)
- Skills in repo
- 11
- Repo updated
- First seen
- Licence
- MIT
At a glance
用 Codex CLI 子任务完成多来源深度调研并综合成带出处的报告。用于确实需要分头取证的研究，不用于单次查证或已给定材料的总结。
- Works in 6 steps: 保持用户当前模型和推理配置，不传 --model，不覆盖无关配置。 → 子进程默认使用 workspace-write；只有确实需要 shell… → 先检查当前会话可用的 Skills、连接器和… → …
- Tasks that involve Deep research
- SKILL.md covers 核心约束, 按需加载 and Workflow
- Runs Python scripts from its folder
What it does
Deep Research is an agent skill from feiskyer/codex-settings. 用 Codex CLI 子任务完成多来源深度调研并综合成带出处的报告。用于确实需要分头取证的研究，不用于单次查证或已给定材料的总结。
Its SKILL.md is about 300 tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/runner.md` and `scripts/aggregate.py`).
It sits in Research & Science, covering Deep research. The repository describes itself as: Curated skills, profiles, and config templates that supercharge Codex CLI — multi-model, deep research, image gen & browser automation. The licence is MIT.
When your agent uses it
- Tasks that involve Deep research
Example prompts
- “/deep-research”
Requirements
- Python 3
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- 保持用户当前模型和推理配置，不传 --model，不覆盖无关配置。
- 子进程默认使用 workspace-write；只有确实需要 shell 网络访问时才启用 runner 的 --network。
- 先检查当前会话可用的 Skills、连接器和 MCP，再按来源适配能力；不要假设固定服务或工具名存在。
- 不使用 --dangerously-bypass-approvals-and-sandbox。
- 所有运行产物写入独立的 .research// 目录。
- 只在委派已获授权时启动子任务。执行前简述拆分与成本；超出已有预算、访问范围或权限时再征求同意，不因正常使用已授权的研究来源重复暂停。
What it can do on your machine
Read from SKILL.md and the folder at commit d7f6570. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 2 files in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Deep Research loads about 302 tokens when it runs, and up to ~1k if it reads all its reference files. Until then it costs about 20 tokens; SKILL.md has 55 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from feiskyer/codex-settings at commit d7f6570, republished under its MIT licence (© feiskyer). 55 words, ~302 tokens.
Download SKILL.mdSave it as
.claude/skills/deep-research/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.- name
- deep-research
- description
- 用 Codex CLI 子任务完成多来源深度调研并综合成带出处的报告。用于确实需要分头取证的研究，不用于单次查证或已给定材料的总结。
Deep Research
主控负责界定问题、拆分、核验与综合；子任务负责互不重叠的采集或局部分析。完成标准是用户需要的报告和证据覆盖，不是子进程退出或材料聚合成功。
核心约束
- 保持用户当前模型和推理配置，不传
--model，不覆盖无关配置。 - 子进程默认使用
workspace-write；只有确实需要 shell 网络访问时才启用 runner 的--network。 - 先检查当前会话可用的 Skills、连接器和 MCP，再按来源适配能力；不要假设固定服务或工具名存在。
- 不使用
--dangerously-bypass-approvals-and-sandbox。 - 所有运行产物写入独立的
.research/<name>/目录。 - 只在委派已获授权时启动子任务。执行前简述拆分与成本；超出已有预算、访问范围或权限时再征求同意，不因正常使用已授权的研究来源重复暂停。
按需加载
准备运行子任务时读 references/runner.md，其中包含目录、manifest、命令与恢复约束。两个脚本均只依赖 Python 标准库；--help 给出参数真源。
Workflow
- 从用户请求中提取目标、时间范围、来源边界和交付格式，只追问会改变研究结论或执行范围的缺口。用代表性真实样本校准拆分，复用已有材料。
- 为每个子任务明确问题、输入、允许访问的范围、输出和证据要求。要求结论旁附来源，无法确认的内容说明缺口。将采集材料保存在运行目录内，避免重复抓取。
- 选择与任务成本相称的并发和超时，陌生或高成本批次先小规模验证。主控同步推进非重叠工作，不重复子任务正在做的采集。
- 检查
results.json、子报告和关键原始来源。失败、空输出、缺失引用或未覆盖的问题仍是未完成；按 runner 参考中的恢复约束有限重试，不重跑已验证成功的任务。缺少权限或需要扩大范围时停止相应操作并说明阻塞。 - 使用
aggregate.py整理内部材料，再综合为polished_report.md（用户指定位置优先）。消除重复、核对关键数据、区分来源冲突和证据强弱；aggregated_raw.md不是成品。
交付报告绝对路径、关键结论和剩余缺口，说明实际使用的权限例外。必要证据仍缺失时，报告已完成范围、具体阻塞及恢复条件，不把部分材料称为完整报告；不要发送内部 Prompt 或调度日志充当成品。
© feiskyer, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 5 other files (scripts, references) in skills/deep-research of feiskyer/codex-settings.
- SKILL.md
- agents/openai.yaml
- references/runner.md
- scripts/aggregate.py
- scripts/run_children.py
- tests/test_deep_research_scripts.py
Open the folder on GitHubat commit d7f6570
Compare with similar skills
Deep Research next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Deep Research this skillfeiskyer/codex-settings | 244 | — | ~302 | Automated safety check: Pass | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 84k | 4 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Deep Research WorkflowTokenRhythm/opensquilla | 7.1k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Deep Researchsanjay3290/ai-skills | 431 | 9 repos | ~683 | Automated safety check: Notes | Apache-2.0 | |
| Horizontal-Vertical Deep ResearchKKKKhazix/khazix-skills | 21k | — | ~2.1k | Automated safety check: Pass | MIT | |
| Academic Research PipelineImbad0202/academic-research-skills | 51k | — | ~15k | Automated safety check: Pass | Custom licence |
Similar skills
Deep Research Workflow
TokenRhythm/opensquilla
Runs multi-round research in three stages with a persisted state file, evidence tracking and a long-form report with per-claim citations.
Deep Research
sanjay3290/ai-skills
Execute autonomous multi-step research using Google Gemini Deep Research Agent.
Horizontal-Vertical Deep Research
KKKKhazix/khazix-skills
Runs a two-axis deep research method on a product, company, concept or person: its full history over time, compared with peers today, delivered as a typeset PDF report.
Academic Research Pipeline
Imbad0202/academic-research-skills
Orchestrates a ten-stage academic workflow from research to finished manuscript, including integrity checks, two rounds of peer review and revision.
Academic Research Suite for Codex
Imbad0202/academic-research-skills-codex
A router skill that sends academic work such as literature reviews, drafting, citation checks, peer review and revision to the right workflow in the ARS suite.
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Related
Categories
Questions about Deep Research
What does Deep Research do?
用 Codex CLI 子任务完成多来源深度调研并综合成带出处的报告。用于确实需要分头取证的研究，不用于单次查证或已给定材料的总结。. Deep Research is an agent skill from feiskyer/codex-settings.
When should I use Deep Research?
Deep Research fits situations like: tasks that involve Deep research.
How do I install Deep Research in Claude Code?
Run `npx skills add feiskyer/codex-settings --skill deep-research -a claude-code`. Or copy the skill folder (skills/deep-research in feiskyer/codex-settings) into .claude/skills/deep-research in your project. Claude Code loads it when a task matches its description.
How do I install Deep Research in Codex?
Run `npx skills add feiskyer/codex-settings --skill deep-research -a codex`. Or copy the skill folder (skills/deep-research in feiskyer/codex-settings) into .agents/skills/deep-research in your project. Codex loads it when a task matches its description.
Can I use Deep Research in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add feiskyer/codex-settings --skill deep-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/deep-research, .gemini/skills/deep-research, .github/skills/deep-research and .opencode/skills/deep-research in your project.
What does Deep Research need to run?
Going by SKILL.md and its folder, Deep Research needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Deep Research access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Deep Research safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Deep Research use?
Deep Research is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Deep Research use?
About 302 tokens (SKILL.md is roughly 1.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 724 tokens, read only when the agent opens those files.
What are the alternatives to Deep Research?
Skills that share tags, products or a category with Deep Research: GitHub Deep Research (bytedance/deer-flow, 84k stars), Deep Research Workflow (TokenRhythm/opensquilla, 7.1k stars), Deep Research (sanjay3290/ai-skills, 431 stars) and Horizontal-Vertical Deep Research (KKKKhazix/khazix-skills, 21k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Deep Research?
feiskyer (a GitHub user) maintains it in feiskyer/codex-settings, which has 244 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on September 27, 2026.
Source: feiskyer/codex-settings on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.