Agent skill

Deep Research

by iZiTTMarvin in iZiTTMarvin/Nova-agent

把研究问题拆成子问题后并行只读检索,综合成带来源引用的结论并复核证据。适用:调研主题、技术选型对比、查清事实并给出可追溯结论。不修改代码。

MITAuto-check passedResearch & Science

Install Deep Research

skills CLI
$ npx skills add iZiTTMarvin/Nova-agent --skill deep-research -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install iZiTTMarvin/Nova-agent deep-research --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/iZiTTMarvin/Nova-agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.nova/skills/deep-research .claude/skills/deep-research && rm -rf skills-src

Use ~/.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/

Facts

Skill name
deep-research
GitHub stars
158
Token cost
~394 tokens
SKILL.md length
75 words
Files
1
Skills in repo
7
Repo updated
First seen
Licence
MIT

At a glance

把研究问题拆成子问题后并行只读检索,综合成带来源引用的结论并复核证据。适用:调研主题、技术选型对比、查清事实并给出可追溯结论。不修改代码。

  • Works in 4 steps: brief(规划) → research(分头检索) → synthesize(汇总) → …
  • Tasks that involve Deep research
  • SKILL.md covers 上下文, 目标与完成标准, 阶段语义(按序推进,不跳过复核) and 产物落盘, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Deep Research is an agent skill from iZiTTMarvin/Nova-agent. 把研究问题拆成子问题后并行只读检索,综合成带来源引用的结论并复核证据。适用:调研主题、技术选型对比、查清事实并给出可追溯结论。不修改代码。

Its SKILL.md is about 390 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 Deep research. The repository describes itself as: 最适合新手、懒人、业余开发者使用的本地桌面 Agent,长会话不丢上下文,一句话跑完全流程,无需如何门槛即可完成高质量的开发. The licence is MIT.

When your agent uses it

  • Tasks that involve Deep research

Example prompts

  • “/deep-research”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. brief(规划)
  2. research(分头检索)
  3. synthesize(汇总)
  4. review(证据复核)

What it can do on your machine

Read from SKILL.md and the folder at commit 216466e. 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.

    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 394 tokens when it runs. Until then it costs about 21 tokens; SKILL.md has 75 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~21
When it runs · the whole SKILL.md, loaded when a task matches
~394

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 iZiTTMarvin/Nova-agent at commit 216466e, republished under its MIT licence (© iZiTTMarvin). 75 words, ~394 tokens.

Download SKILL.mdSave it as .claude/skills/deep-research/SKILL.md (or your agent's skills folder).
name
deep-research
description
把研究问题拆成子问题后并行只读检索,综合成带来源引用的结论并复核证据。适用:调研主题、技术选型对比、查清事实并给出可追溯结论。不修改代码。
user-invocable
true
argument-hint
[研究问题]

深度调研

你正在执行 deep-research 技能:对用户提出的研究问题做可追溯的只读调研,产出带来源的结论报告。

上下文

  • 工作区:<%= workspacePath %>
  • 用户请求:${arguments}

目标与完成标准

  • 目标:回答主研究问题;关键结论均可追溯到来源(URL 或工作区路径);冲突与缺口如实暴露。
  • 完成标准:报告已写入工作区;消息流给出自然语言总结(结论、要点、冲突/未解决、建议、来源、复核结论)。除本技能约定的报告文件外,不修改业务代码、配置与其它文件。

阶段语义(按序推进,不跳过复核)

1. brief(规划)

把用户诉求提炼成一个明确的主研究问题,并拆成互不重叠、可各自独立检索的子问题。

  • 子问题不超过 6 个;每个必须能被独立检索回答,不要拆成串行依赖的步骤。
  • 写清:主问题、子问题(含简短理由)、完成判据、范围外事项。
  • 若研究对象涉及当前工作区,先用只读工具确认事实再拟定问题。
  • 范围确有歧义时,用 askQuestion 澄清一次;Auto 场景可按已有信息直接推进。
2. research(分头检索)

对每个子问题做只读检索。是否并行由你判断:多个独立子问题时,同一轮发出多个 task 调用分头执行;单个或强依赖的子问题可自行检索。

每个子任务(或你亲自检索时)须遵守:

  • 优先 web_search;问题指向工作区时用只读工具查证真实代码/文档。
  • 每条结论必须有可追溯来源;找不到来源就标记为证据不足,不要编造。
  • 只回答分配的子问题;单个子问题失败不影响其余——收集所有可用结果后继续。
3. synthesize(汇总)

把各子问题结果综合成直接回答主研究问题的结论。

  • 只能使用已检索到的证据,不得引入未经检索的新来源或臆断。
  • 来源矛盾写入「证据冲突」,不要择一隐瞒;证据不足写入「未解决」。
  • 交付结构:结论、要点、冲突、未解决、建议、来源列表。
4. review(证据复核)

只读复核,不补充新检索、不向用户提问。

按四条判据检查:结论是否直接回答主问题;关键结论是否有证据支撑;冲突是否如实暴露;完成判据是否满足。

  • 没有任何可追溯来源 → 结论不可交付,须补检索或明确声明不成立。
  • 有子问题未被覆盖 → 不得假装全部完成。

产物落盘

  1. 将完整调研报告写入 <%= workspacePath %>/.nova/reports/(目录不存在则创建),文件名体现主题,例如 research-<简短主题>.md。
  2. 报告用 markdown,包含上述交付结构与复核结论。
  3. 在消息流用自然语言总结报告要点,并给出文件路径;不要把原始 JSON/状态码甩给用户。

约束

  • 调研过程只读:禁止 edit / write 业务代码,禁止改配置与依赖;唯一允许的写入是本技能的报告文件。
  • 不要调用 start_workflow;本能力已是 skill,用 invoke_skill 或 /deep-research 进入即可。并行靠同一轮多个 task,不是独立调度层。
  • 回复使用用户语言(默认简体中文)。

© iZiTTMarvin, 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 .nova/skills/deep-research of iZiTTMarvin/Nova-agent.

Open the folder on GitHubat commit 216466e

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.

Deep Research compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Deep Research this skilliZiTTMarvin/Nova-agent158—~394Automated safety check: PassMIT
GitHub Deep Researchbytedance/deer-flow84k4 repos~1.3kAutomated safety check: PassMIT
Deep Research WorkflowTokenRhythm/opensquilla7.1k—~1.3kAutomated safety check: PassApache-2.0
Deep Researchsanjay3290/ai-skills4329 repos~683Automated safety check: NotesApache-2.0
Horizontal-Vertical Deep ResearchKKKKhazix/khazix-skills21k—~2.1kAutomated safety check: PassMIT
Academic Research PipelineImbad0202/academic-research-skills51k—~15kAutomated safety check: PassCustom licence

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Questions about Deep Research

What does Deep Research do?

把研究问题拆成子问题后并行只读检索,综合成带来源引用的结论并复核证据。适用:调研主题、技术选型对比、查清事实并给出可追溯结论。不修改代码。. Deep Research is an agent skill from iZiTTMarvin/Nova-agent.

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 iZiTTMarvin/Nova-agent --skill deep-research -a claude-code`. Or copy the skill folder (.nova/skills/deep-research in iZiTTMarvin/Nova-agent) 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 iZiTTMarvin/Nova-agent --skill deep-research -a codex`. Or copy the skill folder (.nova/skills/deep-research in iZiTTMarvin/Nova-agent) 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 iZiTTMarvin/Nova-agent --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 394 tokens (SKILL.md is roughly 1.6k 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: GitHub Deep Research (bytedance/deer-flow, 84k stars), Deep Research Workflow (TokenRhythm/opensquilla, 7.1k stars), Deep Research (sanjay3290/ai-skills, 432 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?

iZiTTMarvin (a GitHub user) maintains it in iZiTTMarvin/Nova-agent, which has 158 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on October 9, 2026.

Source: iZiTTMarvin/Nova-agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.