Deep Research
aAAaqwq/AGI-Super-Team
Multi-source deep research using firecrawl and exa MCPs. An agent skill from aAAaqwq/AGI-Super-Team.
使用firecrawl和exa MCPs进行多源深度研究。搜索网络、综合发现并交付带有来源引用的报告。适用于用户希望对任何主题进行有证据和引用的彻底研究时。
Install Deep Research
$ npx skills add affaan-m/ECC --skill deep-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install affaan-m/ECC 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/affaan-m/ECC.git skills-src && mkdir -p .claude/skills && cp -r skills-src/docs/zh-CN/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/affaan-m/ECC/tree/main/docs/zh-CN/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/affaan-m/ECC/tree/main/docs/zh-CN/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 affaan-m/ECC --skill deep-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install affaan-m/ECC deep-research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .agents/skills && cp -r skills-src/docs/zh-CN/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/affaan-m/ECC/tree/main/docs/zh-CN/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 affaan-m/ECC --skill deep-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install affaan-m/ECC deep-research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/docs/zh-CN/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/affaan-m/ECC/tree/main/docs/zh-CN/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/affaan-m/ECC.git --path docs/zh-CN/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 affaan-m/ECC --skill deep-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install affaan-m/ECC deep-research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/docs/zh-CN/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/affaan-m/ECC/tree/main/docs/zh-CN/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 affaan-m/ECC 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 affaan-m/ECC --skill deep-research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .github/skills && cp -r skills-src/docs/zh-CN/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/affaan-m/ECC/tree/main/docs/zh-CN/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 affaan-m/ECC --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 affaan-m/ECC deep-research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/docs/zh-CN/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/affaan-m/ECC/tree/main/docs/zh-CN/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
- 277k
- Used in
- 2 other repos
- Token cost
- ~590 tokens
- SKILL.md length
- 112 words
- Files
- 1
- Skills in repo
- 683
- Repo updated
- First seen
- Licence
- MIT
At a glance
使用firecrawl和exa MCPs进行多源深度研究。搜索网络、综合发现并交付带有来源引用的报告。适用于用户希望对任何主题进行有证据和引用的彻底研究时。
- Works in 6 steps: 每个主张都需要有来源。不要有无来源的断言。 → 交叉验证。如果只有一个来源提及，请将其标记为未经验证。 → 时效性很重要。优先选择过去 12 个月内的来源。 → …
- Tasks that involve Web scraping
- SKILL.md covers 何时激活, MCP 要求, 工作流程 and 使用子代理进行并行研究, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Deep Research is an agent skill from affaan-m/ECC. 使用firecrawl和exa MCPs进行多源深度研究。搜索网络、综合发现并交付带有来源引用的报告。适用于用户希望对任何主题进行有证据和引用的彻底研究时。
Its SKILL.md is about 590 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Research & Science, covering Web scraping, Deep research and MCP servers. It works with Firecrawl and Model Context Protocol. The repository describes itself as: The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond. The licence is MIT.
When your agent uses it
- Tasks that involve Web scraping
- Tasks that involve Deep research
- Tasks that involve MCP servers
Example prompts
- “/deep-research”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- 每个主张都需要有来源。不要有无来源的断言。
- 交叉验证。如果只有一个来源提及，请将其标记为未经验证。
- 时效性很重要。优先选择过去 12 个月内的来源。
- 承认信息缺口。如果某个子问题找不到好的信息，请如实说明。
- 不捏造信息。如果不知道，就说"未找到足够的数据"。
- 区分事实与推断。清楚标注估计、预测和观点。
What it can do on your machine
Read from SKILL.md and the folder at commit 2d515e4. 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
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
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 590 tokens when it runs. Until then it costs about 23 tokens; SKILL.md has 112 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); files beside SKILL.md are not scanned.
SKILL.md
The full file from affaan-m/ECC at commit 2d515e4, republished under its MIT licence (© affaan-m). 112 words, ~590 tokens.
Download SKILL.mdSave it as
.claude/skills/deep-research/SKILL.md (or your agent's skills folder).- name
- deep-research
- description
- 使用firecrawl和exa MCPs进行多源深度研究。搜索网络、综合发现并交付带有来源引用的报告。适用于用户希望对任何主题进行有证据和引用的彻底研究时。
- origin
- ECC
深度研究
使用 firecrawl 和 exa MCP 工具，从多个网络来源生成详尽且有引用的研究报告。
何时激活
- 用户要求深入研究任何主题
- 竞争分析、技术评估或市场规模测算
- 对公司、投资者或技术的尽职调查
- 任何需要综合多个来源信息的问题
- 用户提到"研究"、"深入探讨"、"调查"或"当前状况如何"
MCP 要求
至少需要以下之一：
- firecrawl —
firecrawl_search,firecrawl_scrape,firecrawl_crawl - exa —
web_search_exa,web_search_advanced_exa,crawling_exa
两者结合可提供最佳覆盖范围。在 ~/.claude.json 或 ~/.codex/config.toml 中配置。
工作流程
步骤 1：理解目标
提出 1-2 个快速澄清性问题：
- "您的目标是什么——学习、做决策还是撰写内容？"
- "有任何特定的角度或深度要求吗？"
如果用户说"直接研究即可"——则跳过此步，使用合理的默认设置。
步骤 2：规划研究
将主题分解为 3-5 个研究子问题。例如：
- 主题："人工智能对医疗保健的影响"
- 目前医疗保健领域的主要人工智能应用有哪些？
- 测量到了哪些临床结果？
- 存在哪些监管挑战？
- 哪些公司在该领域处于领先地位？
- 市场规模和增长轨迹如何？
步骤 3：执行多源搜索
对每个子问题，使用可用的 MCP 工具进行搜索：
使用 firecrawl：
firecrawl_search(query: "<sub-question keywords>", limit: 8)使用 exa：
web_search_exa(query: "<子问题关键词>", numResults: 8)
web_search_advanced_exa(query: "<关键词>", numResults: 5, startPublishedDate: "2025-01-01")搜索策略：
- 每个子问题使用 2-3 个不同的关键词变体
- 混合使用通用查询和新闻聚焦查询
- 目标总共获取 15-30 个独特的来源
- 优先级：学术、官方、知名新闻 > 博客 > 论坛
步骤 4：深度阅读关键来源
对于最有希望的 URL，获取完整内容：
使用 firecrawl：
firecrawl_scrape(url: "<url>")使用 exa：
crawling_exa(url: "<url>", tokensNum: 5000)完整阅读 3-5 个关键来源以获得深度信息。不要仅依赖搜索片段。
步骤 5：综合并撰写报告
构建报告结构：
# [主题]：研究报告
*生成日期：[date] | 来源数量：[N] | 置信度：[高/中/低]*
## 执行摘要
[3-5 句关键发现概述]
## 1. [第一个主要主题]
[带有内联引用的发现]
- 关键点 ([Source Name](url))
- 支持性数据 ([Source Name](url))
## 2. [第二个主要主题]
...
## 3. [第三个主要主题]
...
## 关键要点
- [可执行的见解 1]
- [可执行的见解 2]
- [可执行的见解 3]
## 来源
1. [Title](url) — [一行摘要]
2. ...
## 方法论
搜索了网络和新闻中的 [N] 个查询。分析了 [M] 个来源。
调查的子问题：[列表]步骤 6：交付
- 简短主题：在聊天中发布完整报告
- 长篇报告：发布执行摘要 + 关键要点，将完整报告保存到文件
使用子代理进行并行研究
对于广泛的主题，使用 Claude Code 的 Task 工具进行并行处理：
并行启动3个研究代理：
1. 代理1：研究子问题1-2
2. 代理2：研究子问题3-4
3. 代理3：研究子问题5 + 交叉主题每个代理负责搜索、阅读来源并返回发现结果。主会话将其综合成最终报告。
质量规则
- 每个主张都需要有来源。不要有无来源的断言。
- 交叉验证。如果只有一个来源提及，请将其标记为未经验证。
- 时效性很重要。优先选择过去 12 个月内的来源。
- 承认信息缺口。如果某个子问题找不到好的信息，请如实说明。
- 不捏造信息。如果不知道，就说"未找到足够的数据"。
- 区分事实与推断。清楚标注估计、预测和观点。
示例
"研究核聚变能源的当前现状"
"深入探讨 2026 年 Rust 与 Go 在后端服务中的对比"
"研究自举 SaaS 业务的最佳策略"
"美国房地产市场目前情况如何？"
"调查 AI 代码编辑器的竞争格局"© affaan-m, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in docs/zh-CN/skills/deep-research of affaan-m/ECC.
Open the folder on GitHubat commit 2d515e4
Used in 2 other repositories
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in affaan-m/ECC, which our catalogue first saw on October 7, 2026.
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 skillaffaan-m/ECC | 277k | 2 repos | ~590 | Automated safety check: Pass | MIT | |
| Deep ResearchaAAaqwq/AGI-Super-Team | 105 | 5 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Mysearchskernelx/MySearch-Proxy | 159 | — | ~3k | Automated safety check: Notes | None | |
| Deep Research MCP Guidepminervini/deep-research-mcp | 114 | — | ~5.8k | Automated safety check: Pass | MIT | |
| Web Research Search Tipsmalob/nix-config | 463 | — | ~2.4k | Automated safety check: Pass | MIT | |
| Firecrawl Deep Researchfirecrawl/skills | 117 | — | ~1.4k | Automated safety check: Pass | ISC |
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Deep Research MCP Guide
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Explains how to run, integrate and debug the deep-research-mcp project through its CLI, Python API or MCP server, with OpenAI, Gemini and DR-Tulu backends.
Web Research Search Tips
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Related
Works with
Categories
Questions about Deep Research
What does Deep Research do?
使用firecrawl和exa MCPs进行多源深度研究。搜索网络、综合发现并交付带有来源引用的报告。适用于用户希望对任何主题进行有证据和引用的彻底研究时。. Deep Research is an agent skill from affaan-m/ECC.
When should I use Deep Research?
Deep Research fits situations like: tasks that involve Web scraping; tasks that involve Deep research; tasks that involve MCP servers.
How do I install Deep Research in Claude Code?
Run `npx skills add affaan-m/ECC --skill deep-research -a claude-code`. Or copy the skill folder (docs/zh-CN/skills/deep-research in affaan-m/ECC) 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 affaan-m/ECC --skill deep-research -a codex`. Or copy the skill folder (docs/zh-CN/skills/deep-research in affaan-m/ECC) 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 affaan-m/ECC --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?
SKILL.md names no scripts, command-line tools or credentials: Deep Research is instructions for the agent only.
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. Review the folder before installing.
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 590 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Deep Research?
Skills that share tags, products or a category with Deep Research: Deep Research (aAAaqwq/AGI-Super-Team, 105 stars), Mysearch (skernelx/MySearch-Proxy, 159 stars), Deep Research MCP Guide (pminervini/deep-research-mcp, 114 stars) and Web Research Search Tips (malob/nix-config, 463 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Deep Research?
affaan-m (a GitHub user) maintains it in affaan-m/ECC, which has 276,673 GitHub stars. The repository holds 683 skills in this directory. The repository was last updated on October 11, 2026.
Source: affaan-m/ECC on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.