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.
Produce a comprehensive, referenced deep-research report on a given topic as a downloadable markdown file.
Install Deep Research Report
$ npx skills add impredicative/podgenai --skill deep-research-report -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install impredicative/podgenai deep-research-report --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/impredicative/podgenai.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/deep-research-report .claude/skills/deep-research-report && 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-report" agent skill from https://github.com/impredicative/podgenai/tree/master/skills/deep-research-report into .claude/skills/deep-research-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research-report", 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/impredicative/podgenai/tree/master/skills/deep-research-reportType 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 impredicative/podgenai --skill deep-research-report -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install impredicative/podgenai deep-research-report --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/impredicative/podgenai.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/deep-research-report .agents/skills/deep-research-report && 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-report" agent skill from https://github.com/impredicative/podgenai/tree/master/skills/deep-research-report into .agents/skills/deep-research-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research-report", 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 impredicative/podgenai --skill deep-research-report -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install impredicative/podgenai deep-research-report --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/impredicative/podgenai.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/deep-research-report .cursor/skills/deep-research-report && 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-report" agent skill from https://github.com/impredicative/podgenai/tree/master/skills/deep-research-report into .cursor/skills/deep-research-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research-report", 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/impredicative/podgenai.git --path skills/deep-research-report--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 impredicative/podgenai --skill deep-research-report -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install impredicative/podgenai deep-research-report --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/impredicative/podgenai.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/deep-research-report .gemini/skills/deep-research-report && 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-report" agent skill from https://github.com/impredicative/podgenai/tree/master/skills/deep-research-report into .gemini/skills/deep-research-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research-report", 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 impredicative/podgenai deep-research-reportInstalls 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 impredicative/podgenai --skill deep-research-report -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/impredicative/podgenai.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/deep-research-report .github/skills/deep-research-report && 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-report" agent skill from https://github.com/impredicative/podgenai/tree/master/skills/deep-research-report into .github/skills/deep-research-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research-report", 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 impredicative/podgenai --skill deep-research-report -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install impredicative/podgenai deep-research-report --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/impredicative/podgenai.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/deep-research-report .opencode/skills/deep-research-report && 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-report" agent skill from https://github.com/impredicative/podgenai/tree/master/skills/deep-research-report into .opencode/skills/deep-research-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research-report", 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-report- GitHub stars
- 157
- Token cost
- ~513 tokens
- SKILL.md length
- 275 words
- Files
- 1
- Skills in repo
- 3
- Repo updated
- First seen
- Licence
- LGPL-3.0
At a glance
Produce a comprehensive, referenced deep-research report on a given topic as a downloadable markdown file.
- Asked for a deep-research report
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- MRG follow-up commands to check coverage
- Generate a supplemental report
What it does
Deep Research Report is an agent skill from impredicative/podgenai. Produce a comprehensive, referenced deep-research report on a given topic as a downloadable markdown file. Use when asked for a deep-research report or for its CHK, GEN, or MRG follow-up commands to check coverage, generate a supplemental report, or merge reports.
Its SKILL.md is about 510 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. It works with OpenAI and Python. The repository describes itself as: OpenAI GPT based informational audiobook/podcast mp3 generator. The licence is LGPL-3.0.
When your agent uses it
- Asked for a deep-research report
- MRG follow-up commands to check coverage
- Generate a supplemental report
Example prompts
- “/deep-research-report”
What it can do on your machine
Read from SKILL.md and the folder at commit 136ea00. 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 Report loads about 513 tokens when it runs. Until then it costs about 71 tokens; SKILL.md has 275 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 impredicative/podgenai at commit 136ea00, republished under its LGPL-3.0 licence (© impredicative). 275 words, ~513 tokens.
Download SKILL.mdSave it as
.claude/skills/deep-research-report/SKILL.md (or your agent's skills folder).- name
- deep-research-report
- description
- Produce a comprehensive, referenced deep-research report on a given topic as a downloadable markdown file. Use when asked for a deep-research report or for its CHK, GEN, or MRG follow-up commands to check coverage, generate a supplemental report, or merge reports.
Deep research report
Produce a comprehensive deep-research report on the given topic.
Unless there are ambiguities that must be clarified, proceed with the deep research.
Do not provide an initialization note, progress updates, planning notes, meta-commentary, or task-status comments before, during, or after report. The user will just wait until the report becomes ready.
More detail and a longer report are typically better, so take your time.
Claims and statements in the report must individually be backed by good references. Synthesis is acceptable when it is high value and high confidence.
Do not write the report in the chat. Instead, provide it for download in a downloadable markdown file. The downloaded report file is to be a formal deliverable that will be shared with many users, so it definitely must never contain any commentary pertaining to the research request.
Follow-up commands:
After the report is made available to the user, the user may issue one or more follow-up commands:
- CHK: Upon receiving this command, you are to check and cross-examine your generated report against the original request to see if there were any subtopics that were not reasonably addressed. If there are then any such subtopics, you are to output a supplemental new request to get only these leftover subtopics investigated, not what you already duly addressed in the report.
- GEN: This can often follow a CHK command. Upon receiving this command, you are to generate a supplemental new report against the new request.
- MRG: This can follow the CHK and GEN commands. Upon receiving this command, you are to merge the original report and the supplemental report, producing a sensibly and systematically merged report.
© impredicative, LGPL-3.0. 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 skills/deep-research-report of impredicative/podgenai.
Open the folder on GitHubat commit 136ea00
Compare with similar skills
Deep Research Report 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 Report this skillimpredicative/podgenai | 157 | — | ~513 | Automated safety check: Pass | LGPL-3.0 | |
| Deep Research MCP Guidepminervini/deep-research-mcp | 112 | — | ~5.8k | Automated safety check: Pass | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 83k | 5 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Autonomous Researchfedericodeponte/opendraft | 507 | — | ~8.2k | Automated safety check: Pass | Apache-2.0 | |
| Deep Researchultralisp/ultralisp | 258 | 2 repos | ~1.1k | Automated safety check: Pass | None | |
| Academic Integrity Rewritelin1111-1/academic-integrity-rewrite | 102 | — | ~1.1k | Automated safety check: Pass | MIT |
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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.
Autonomous Research
federicodeponte/opendraft
An 18-agent pipeline that turns one topic line into a drafted research paper, literature review, or thesis chapter.
Deep Research
ultralisp/ultralisp
A skill your agent uses when the user needs multi-source research with citation tracking, evidence persistence, and structured report generation.
Academic Integrity Rewrite
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Revise Chinese or English academic writing for lower unnecessary textual overlap while preserving meaning, evidence, numbers, equations, terminology, and citations.
Librarium
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Runs evidence-aware, multi-provider research with the Librarium v2 CLI.
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Related
Categories
Questions about Deep Research Report
What does Deep Research Report do?
Produce a comprehensive, referenced deep-research report on a given topic as a downloadable markdown file. Deep Research Report is an agent skill from impredicative/podgenai. Produce a comprehensive, referenced deep-research report on a given topic as a downloadable markdown file.
When should I use Deep Research Report?
Deep Research Report fits situations like: asked for a deep-research report; MRG follow-up commands to check coverage; generate a supplemental report.
How do I install Deep Research Report in Claude Code?
Run `npx skills add impredicative/podgenai --skill deep-research-report -a claude-code`. Or copy the skill folder (skills/deep-research-report in impredicative/podgenai) into .claude/skills/deep-research-report in your project. Claude Code loads it when a task matches its description.
How do I install Deep Research Report in Codex?
Run `npx skills add impredicative/podgenai --skill deep-research-report -a codex`. Or copy the skill folder (skills/deep-research-report in impredicative/podgenai) into .agents/skills/deep-research-report in your project. Codex loads it when a task matches its description.
Can I use Deep Research Report 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 impredicative/podgenai --skill deep-research-report -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-report, .gemini/skills/deep-research-report, .github/skills/deep-research-report and .opencode/skills/deep-research-report in your project.
What does Deep Research Report need to run?
SKILL.md names no scripts, command-line tools or credentials: Deep Research Report is instructions for the agent only.
Does Deep Research Report 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 Report 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 Report use?
Deep Research Report is published under the LGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Deep Research Report use?
About 513 tokens (SKILL.md is roughly 2.1k 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 Report?
Skills that share tags, products or a category with Deep Research Report: Deep Research MCP Guide (pminervini/deep-research-mcp, 112 stars), GitHub Deep Research (bytedance/deer-flow, 83k stars), Autonomous Research (federicodeponte/opendraft, 507 stars) and Deep Research (ultralisp/ultralisp, 258 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Deep Research Report?
impredicative (a GitHub user) maintains it in impredicative/podgenai, which has 157 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on October 5, 2026.
Source: impredicative/podgenai on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.