What is deep-research?

A process for researching a topic across multiple web sources and producing a report with cited evidence. It uses web-search and page-reading tools to gather, compare, and summarise findings.

Use it for technology comparisons, market research, company investigations, due diligence, and other questions that need current information from several sources.

It reduces the manual effort of opening many sources and combining their contents into one trustworthy account. Citations make it easier to check where each conclusion came from.

deep-research — Skill for Claude Code and Codex by Jamkris

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add Jamkris/everything-gemini-code --skill deep-research

Clone the repo

git clone --depth 1 https://github.com/Jamkris/everything-gemini-code

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/jamkris/everything-gemini-code/deep-research/github.svg)](https://agentmods.dev/skills/jamkris/everything-gemini-code/deep-research)

Your own site

<a href="https://agentmods.dev/skills/jamkris/everything-gemini-code/deep-research"><img src="https://agentmods.dev/badge/skills/jamkris/everything-gemini-code/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/jamkris/everything-gemini-code/deep-research"><img src="https://agentmods.dev/badge/skills/jamkris/everything-gemini-code/deep-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,193 The whole file, excluding the scripts and references it only reads on demand.

Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe.

Origin 89% copy Near-identical to another mod 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.

Model	Per session	Once invoked
Fable 5.1	$0.00048	$0.01193
Opus 5.5	$0.00019	$0.00477
Sonnet 5.5	$0.00010	$0.00239
Haiku 4.5	$0.00005	$0.00119

Measured 1mo ago against content hash 8dcfd2e16102, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

deep-research scanned grade B with 1 finding 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 1mo ago.

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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

Both together give the best coverage. Configure in `~/.gemini.json` or `~/.codex/config.toml`.

Origin

This is a copy

89% identical to deep-research — 12 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/deep-research/SKILL.md · 160 lines

How it starts

The opening of the file, as written. The whole thing — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deep Research

Drift-prone skill. Firecrawl/Exa MCP tool names, quotas, and result shapes change. Verify the configured MCP tools and current API docs before promising coverage or quoting live source counts.

Produce thorough, cited research reports from multiple web sources using firecrawl and exa MCP tools.

When to Use

User asks to research any topic in depth
Competitive analysis, technology evaluation, or market sizing
Due diligence on companies, investors, or technologies
Any question requiring synthesis from multiple sources
User says "research", "deep dive", "investigate", or "what's the current state of"

MCP Requirements

At least one of:

firecrawl — firecrawl_search, firecrawl_scrape, firecrawl_crawl
exa — web_search_exa, web_search_advanced_exa, crawling_exa

Both together give the best coverage. Configure in ~/.gemini.json or ~/.codex/config.toml.

Workflow

Step 1: Understand the Goal

Ask 1-2 quick clarifying questions:

"What's your goal — learning, making a decision, or writing something?"
"Any specific angle or depth you want?"

If the user says "just research it" — skip ahead with reasonable defaults.

Step 2: Plan the Research

Break the topic into 3-5 research sub-questions. Example:

Topic: "Impact of AI on healthcare"
- What are the main AI applications in healthcare today?
- What clinical outcomes have been measured?
- What are the regulatory challenges?
- What companies are leading this space?
- What's the market size and growth trajectory?

Step 3: Execute Multi-Source Search

For EACH sub-question, search using available MCP tools:

With firecrawl:

firecrawl_search(query: "<sub-question keywords>", limit: 8)

With exa:

web_search_exa(query: "<sub-question keywords>", numResults: 8)
web_search_advanced_exa(query: "<keywords>", numResults: 5, startPublishedDate: "2025-01-01")

Search strategy:

Use 2-3 different keyword variations per sub-question
Mix general and news-focused queries
Aim for 15-30 unique sources total
Prioritize: academic, official, reputable news > blogs > forums

Read the full file on GitHub · 160 lines

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.

1mo ago First seen · 160 lines · 48 tokens per session scan B 8dcfd2e16102

Subscribe to this mod's changes

deep-research is a skill published in the GitHub repository Jamkris/everything-gemini-code (90 stars, last pushed 4mo ago), licensed MIT. It adds 48 tokens to every session and 1,193 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it B with 1 finding (reads agent configuration directories). It is 89% identical to deep-research, differing in 12 lines, and is treated as a copy.

Research ai-agents antigravity developer-tools gemini-cli gemini-cli-extension gemini-cli-skills

deep-research

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade B, and why

Reads agent configuration directoriesmediumAgent snooping

This is a copy

How it starts

Deep Research

When to Use

MCP Requirements

Workflow

Step 1: Understand the Goal

Step 2: Plan the Research

Step 3: Execute Multi-Source Search

What this file has done since we first saw it

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