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.
A skill your agent uses when the user needs multi-source research with citation tracking, evidence persistence, and structured report generation.
Install Deep Research
$ npx skills add ultralisp/ultralisp --skill deep-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ultralisp/ultralisp 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/ultralisp/ultralisp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/claude-deep-research-skill .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/ultralisp/ultralisp/tree/master/.agents/skills/claude-deep-research-skill 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/ultralisp/ultralisp/tree/master/.agents/skills/claude-deep-research-skillType 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 ultralisp/ultralisp --skill deep-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ultralisp/ultralisp deep-research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ultralisp/ultralisp.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/claude-deep-research-skill .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/ultralisp/ultralisp/tree/master/.agents/skills/claude-deep-research-skill 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 ultralisp/ultralisp --skill deep-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ultralisp/ultralisp deep-research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ultralisp/ultralisp.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/claude-deep-research-skill .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/ultralisp/ultralisp/tree/master/.agents/skills/claude-deep-research-skill 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/ultralisp/ultralisp.git --path .agents/skills/claude-deep-research-skill--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 ultralisp/ultralisp --skill deep-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ultralisp/ultralisp deep-research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ultralisp/ultralisp.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/claude-deep-research-skill .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/ultralisp/ultralisp/tree/master/.agents/skills/claude-deep-research-skill 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 ultralisp/ultralisp 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 ultralisp/ultralisp --skill deep-research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ultralisp/ultralisp.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/claude-deep-research-skill .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/ultralisp/ultralisp/tree/master/.agents/skills/claude-deep-research-skill 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 ultralisp/ultralisp --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 ultralisp/ultralisp deep-research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ultralisp/ultralisp.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/claude-deep-research-skill .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/ultralisp/ultralisp/tree/master/.agents/skills/claude-deep-research-skill 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
- 258
- Used in
- 2 other repos
- Token cost
- ~1.1k tokens
- SKILL.md length
- 360 words
- Files
- 35 (incl. scripts)
- Skills in repo
- 14
- Repo updated
- First seen
- Licence
- None found
At a glance
A skill your agent uses when the user needs multi-source research with citation tracking, evidence persistence, and structured report generation.
- Works in 5 steps: Phase 1-7: Load methodology.md for… → Phase 8 (Report): Load… → HTML/PDF output: Load html-generation.md → …
- The user needs multi-source research with citation tracking
- SKILL.md covers Core Purpose, Decision Tree, Workflow Overview and Execution, plus 2 more sections
- Runs Python scripts from its folder; calls python
What it does
Deep Research is an agent skill from ultralisp/ultralisp. Use when the user needs multi-source research with citation tracking, evidence persistence, and structured report generation. Triggers on "deep research", "comprehensive analysis", "research report", "compare X vs Y", "analyze trends", or "state of the art". Not for simple lookups, debugging, or questions answerable with 1-2 searches.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 37 other files, including scripts (for example `README.md`, `reference/continuation.md` and `reference/html-generation.md`).
It sits in Research & Science, covering Deep research. It works with Python. The repository describes itself as: The software behind a Ultralisp.org Common Lisp repository.
When your agent uses it
- The user needs multi-source research with citation tracking
- Evidence persistence
- Structured report generation
- Comprehensive analysis
Example prompts
- “deep research”
- “comprehensive analysis”
- “research report”
- “/deep-research”
Requirements
- Python 3
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Phase 1-7: Load methodology.md for detailed phase instructions
- Phase 8 (Report): Load report-assembly.md for progressive generation
- HTML/PDF output: Load html-generation.md
- Quality checks: Load quality-gates.md
- Long reports (>18K words): Load continuation.md
What it can do on your machine
Read from SKILL.md and the folder at commit 3439788. 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 4 files in scripts/ (Python, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
python
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 1.1k tokens when it runs. Until then it costs about 88 tokens; SKILL.md has 360 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
Without a licence we can't republish the file, so here is its outline and opening line. It has 360 words (~1,082 tokens).
“Deliver citation-tracked research reports through a structured pipeline with evidence persistence, source identity management, claim-level verification, and progressive context management.”
- name
- deep-research
Files
SKILL.md and 34 other files (scripts) in .agents/skills/claude-deep-research-skill of ultralisp/ultralisp.
- SKILL.md
- .gitignore
- README.md
- reference/continuation.md
- reference/html-generation.md
- reference/methodology.md
- reference/quality-gates.md
- reference/report-assembly.md
- reference/weasyprint_guidelines.md
- requirements.txt
- schemas/claim.schema.json
- schemas/evidence.schema.json
- schemas/run_manifest.schema.json
- schemas/source.schema.json
- scripts/citation_manager.py
- scripts/evidence_store.py
- scripts/extract_claims.py
- scripts/md_to_html.py
- … and 17 more
Open the folder on GitHubat commit 3439788
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 ultralisp/ultralisp, 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 skillultralisp/ultralisp | 258 | 2 repos | ~1.1k | Automated safety check: Pass | None | |
| GitHub Deep Researchbytedance/deer-flow | 83k | 5 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Deep Researcher ResearchNVIDIA-AI-Blueprints/deep-researcher-agent | 883 | — | ~4.4k | Automated safety check: Notes | Apache-2.0 | |
| Ray Trend Searchimraywang/rayskills | 160 | — | ~2.1k | Automated safety check: Pass | Custom licence | |
| Argo Search and Verificationtaxueseek/argo | 185 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Gate-Driven Deep Research V4AnkitClassicVision/Claude-Code-Deep-Research | 147 | — | ~588 | Automated safety check: Pass | MIT |
Similar skills
Deep Researcher Research
NVIDIA-AI-Blueprints/deep-researcher-agent
A skill your agent uses when asked to run deep research or Deep Researcher Agent research through a reachable NVIDIA Deep Researcher Agent Blueprint backend.
Ray Trend Search
imraywang/rayskills
Researches what people are saying about a topic over a recent window across X, Reddit, YouTube and the public web, reporting each source's status with links.
Argo Search and Verification
taxueseek/argo
Unified web search, page fetching and evidence checking across hundreds of sources, with result verification, a research-dossier mode and vertical search engines.
Gate-Driven Deep Research V4
AnkitClassicVision/Claude-Code-Deep-Research
Runs a branch-parallel research pipeline with declared sufficiency per subquestion, deterministic stop and citation checks, and a separate model for verification.
Deep Research MCP Guide
pminervini/deep-research-mcp
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.
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Related
Works with
Categories
Questions about Deep Research
What does Deep Research do?
A skill your agent uses when the user needs multi-source research with citation tracking, evidence persistence, and structured report generation. Deep Research is an agent skill from ultralisp/ultralisp. Use when the user needs multi-source research with citation tracking, evidence persistence, and structured report generation.
When should I use Deep Research?
Deep Research fits situations like: the user needs multi-source research with citation tracking; evidence persistence; structured report generation; comprehensive analysis.
How do I install Deep Research in Claude Code?
Run `npx skills add ultralisp/ultralisp --skill deep-research -a claude-code`. Or copy the skill folder (.agents/skills/claude-deep-research-skill in ultralisp/ultralisp) 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 ultralisp/ultralisp --skill deep-research -a codex`. Or copy the skill folder (.agents/skills/claude-deep-research-skill in ultralisp/ultralisp) 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 ultralisp/ultralisp --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 and the command-line tools its instructions call (python). 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?
No licence was found for Deep Research or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Deep Research use?
About 1.1k tokens (SKILL.md is roughly 4.3k 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, 83k stars), Deep Researcher Research (NVIDIA-AI-Blueprints/deep-researcher-agent, 883 stars), Ray Trend Search (imraywang/rayskills, 160 stars) and Argo Search and Verification (taxueseek/argo, 185 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Deep Research?
ultralisp (a GitHub organization) maintains it in ultralisp/ultralisp, which has 258 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on September 13, 2026.
Source: ultralisp/ultralisp on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.