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.
Multi-source research on a topic with citations. An agent skill from prapaa-ai/agav.
Install Deep Research
$ npx skills add prapaa-ai/agav --skill deep-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install prapaa-ai/agav 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/prapaa-ai/agav.git skills-src && mkdir -p .claude/skills && cp -r skills-src/source/skills/bundled/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/prapaa-ai/agav/tree/main/source/skills/bundled/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/prapaa-ai/agav/tree/main/source/skills/bundled/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 prapaa-ai/agav --skill deep-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install prapaa-ai/agav deep-research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/prapaa-ai/agav.git skills-src && mkdir -p .agents/skills && cp -r skills-src/source/skills/bundled/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/prapaa-ai/agav/tree/main/source/skills/bundled/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 prapaa-ai/agav --skill deep-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install prapaa-ai/agav deep-research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/prapaa-ai/agav.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/source/skills/bundled/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/prapaa-ai/agav/tree/main/source/skills/bundled/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/prapaa-ai/agav.git --path source/skills/bundled/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 prapaa-ai/agav --skill deep-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install prapaa-ai/agav deep-research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/prapaa-ai/agav.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/source/skills/bundled/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/prapaa-ai/agav/tree/main/source/skills/bundled/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 prapaa-ai/agav 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 prapaa-ai/agav --skill deep-research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/prapaa-ai/agav.git skills-src && mkdir -p .github/skills && cp -r skills-src/source/skills/bundled/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/prapaa-ai/agav/tree/main/source/skills/bundled/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 prapaa-ai/agav --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 prapaa-ai/agav deep-research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/prapaa-ai/agav.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/source/skills/bundled/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/prapaa-ai/agav/tree/main/source/skills/bundled/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
- 152
- Token cost
- ~396 tokens
- SKILL.md length
- 187 words
- Files
- 1
- Skills in repo
- 12
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Multi-source research on a topic with citations. An agent skill from prapaa-ai/agav.
- Works in 9 steps: Clarify the research question. If the… → Search for information across multiple… → Fetch and read the most relevant… → …
- Tasks that involve Deep research
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Deep Research is an agent skill from prapaa-ai/agav. Multi-source research on a topic with citations
Its SKILL.md is about 400 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: Terminal-native AI coding assistant for real repositories. Inspect code, edit files, run tests, and verify changes from the CLI. The licence is Apache-2.0.
When your agent uses it
- Tasks that involve Deep research
Example prompts
- “/deep-research”
Requirements
- Pre-approved tools (allowed-tools): web_search, fetch_url, read_file, write_file
Workflow steps
9 steps, taken from the first numbered list in SKILL.md.
- Clarify the research question. If the user's query is too broad or ambiguous, ask 2-3 focused questions to narrow the scope before…
- Search for information across multiple sources using varied search queries. Use at least 3 different query phrasings to ensure breadth.
- Fetch and read the most relevant sources. Prioritize authoritative sources: official documentation, peer-reviewed papers, reputable…
- Cross-reference key claims across at least 2 independent sources. Flag any contradictions or disputed points.
- Verify factual claims (statistics, dates, technical specifications) against primary sources where possible.
- Synthesize findings into a structured report
- Cite sources inline using numbered references (e.g., [1], [2]) linked to the sources list.
- Distinguish between well-established facts, expert opinions, and uncertain claims.
- If the user requests, write the report to a file. Otherwise, present it directly.
What it can do on your machine
Read from SKILL.md and the folder at commit 9e9582a. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
web_searchfetch_urlread_filewrite_file
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 396 tokens when it runs. Until then it costs about 15 tokens; SKILL.md has 187 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 prapaa-ai/agav at commit 9e9582a, republished under its Apache-2.0 licence (© prapaa-ai). 187 words, ~396 tokens.
Download SKILL.mdSave it as
.claude/skills/deep-research/SKILL.md (or your agent's skills folder).- name
- deep-research
- description
- Multi-source research on a topic with citations
- allowed-tools
- web_search, fetch_url, read_file, write_file
- version
- 1.0.0
- invocation
- user
- tags
- research, analysis
Deep Research
Conduct thorough multi-source research on a topic, verify claims, and produce a cited report.
Instructions
- Clarify the research question. If the user's query is too broad or ambiguous, ask 2-3 focused questions to narrow the scope before proceeding.
- Search for information across multiple sources using varied search queries. Use at least 3 different query phrasings to ensure breadth.
- Fetch and read the most relevant sources. Prioritize authoritative sources: official documentation, peer-reviewed papers, reputable publications, primary data.
- Cross-reference key claims across at least 2 independent sources. Flag any contradictions or disputed points.
- Verify factual claims (statistics, dates, technical specifications) against primary sources where possible.
- Synthesize findings into a structured report:
- Summary: Key findings in 2-3 sentences.
- Detailed Analysis: Organized by subtopic with evidence and reasoning.
- Considerations: Trade-offs, limitations, or open questions.
- Sources: Full list of sources with titles and URLs.
- Cite sources inline using numbered references (e.g., [1], [2]) linked to the sources list.
- Distinguish between well-established facts, expert opinions, and uncertain claims.
- If the user requests, write the report to a file. Otherwise, present it directly.
© prapaa-ai, Apache-2.0. 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 source/skills/bundled/deep-research of prapaa-ai/agav.
Open the folder on GitHubat commit 9e9582a
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 skillprapaa-ai/agav | 152 | — | ~396 | Automated safety check: Pass | Apache-2.0 | |
| 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?
Multi-source research on a topic with citations. An agent skill from prapaa-ai/agav. Deep Research is an agent skill from prapaa-ai/agav.
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 prapaa-ai/agav --skill deep-research -a claude-code`. Or copy the skill folder (source/skills/bundled/deep-research in prapaa-ai/agav) 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 prapaa-ai/agav --skill deep-research -a codex`. Or copy the skill folder (source/skills/bundled/deep-research in prapaa-ai/agav) 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 prapaa-ai/agav --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. Its frontmatter pre-approves these tools: web_search, fetch_url, read_file, write_file.
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 Apache-2.0 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 396 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, 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?
prapaa-ai (a GitHub organization) maintains it in prapaa-ai/agav, which has 152 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on October 9, 2026.
Source: prapaa-ai/agav on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.