deep-research

deep-research is a skill for Claude Code, Codex from cnemri/google-genai-skills. It costs 33 tokens per session (566 once invoked), scanned A, original, MIT.

A research tool that plans, searches, reads, and combines information into an answer using the Gemini Deep Research Agent. It can use web search and local files or folders as research context.

In plain words
What is it for?
Use it to investigate a topic, analyze a report, summarize meeting notes, or research a large document collection, provided the required Google API setup is available.
Why use it?
It handles multi-step research tasks so you do not have to manually gather and synthesize every source.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is uv run skills/deep-research/scripts/research.py "Summarize these meeting notes" --file ./notes/.

Good fit Use it to investigate a topic, analyze a report, summarize meeting notes, or research a large document collection, provided the required Google API setup is available.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/cnemri/google-genai-skills
agentmods
npx agentmods add skills/cnemri/google-genai-skills/deep-research

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for deep-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/cnemri/google-genai-skills/deep-research/github.svg)](https://agentmods.dev/skills/cnemri/google-genai-skills/deep-research)
Your own site
<a href="https://agentmods.dev/skills/cnemri/google-genai-skills/deep-research"><img src="https://agentmods.dev/badge/skills/cnemri/google-genai-skills/deep-research/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for deep-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/cnemri/google-genai-skills/deep-research"><img src="https://agentmods.dev/badge/skills/cnemri/google-genai-skills/deep-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 566 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00033 $0.00566
Opus 5 $0.00016 $0.00283
Sonnet 5 $0.00007 $0.00113
Haiku 4.5 $0.00003 $0.00057

Measured 11d ago against content hash 23a21fa8e87b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

deep-research scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/research.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/deep-research/SKILL.md · 67 lines

How it starts

The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deep Research

Use this skill to conduct deep, autonomous research tasks that require planning, searching, reading, and synthesizing information.

This skill uses the Gemini Deep Research Agent (deep-research-pro-preview-12-2025) via the Interactions API.

Prerequisites

  • GOOGLE_API_KEY: Required for accessing the Interactions API (currently in Preview via AI Studio).
  • google-genai SDK v0.3.0+

Usage

Basic Research

Start a research task and stream the results to the console.

uv run skills/deep-research/scripts/research.py "Research the history of RISC-V architecture."

Research with Context (Files or Directories)

Provide local files (PDFs, text) or entire directories for the agent to read and incorporate into its research.

Direct Upload (Best for specific docs):

# Single file
uv run skills/deep-research/scripts/research.py "Analyze this report" --file report.pdf

# Entire directory
uv run skills/deep-research/scripts/research.py "Summarize these meeting notes" --file ./notes/

File Search Store (Best for large corpora): Use --use-file-store to index files into a searchable store (RAG) instead of uploading them into the context window.

uv run skills/deep-research/scripts/research.py "Find trends in these 1000 PDFs" --file ./large_corpus/ --use-file-store

Saving the Report

Save the final Markdown report to a file.

uv run skills/deep-research/scripts/research.py "Competitive landscape of EV batteries" --output report.md

Continuing Research (Follow-up)

Ask follow-up questions to an existing research session using the Interaction ID (displayed at the start of the previous run).

uv run skills/deep-research/scripts/research.py "Elaborate on the second point about lithium supply." --follow-up "INTERACTION_ID_HERE"

References

How it Works

  1. Planning: The agent breaks down your prompt into steps.
  2. Execution: It autonomously searches the web and reads your provided files.
  3. Resilience: The script automatically reconnects if the long-running stream drops.
  4. Synthesis: It produces a comprehensive, cited report.

Read the full file on GitHub · 67 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 67 lines · 33 tokens per session scan A 23a21fa8e87b

Subscribe to this mod's changes

deep-research is a skill published in the GitHub repository cnemri/google-genai-skills (126 stars, last pushed 7mo ago), licensed MIT. It adds 33 tokens to every session and 566 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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