deep-research

deep-research is a skill for Claude Code, Codex from chadixearth/graphyloop. It costs 48 tokens per session (1,206 once invoked), scanned B, a copy of deep-research, MIT.

A method for researching a question across multiple online sources and producing a report with links to the evidence.

In plain words
What is it for?
Use it for in-depth research, company or technology checks, market questions, competitive analysis, and other decisions that need evidence.
Why use it?
It reduces the work of finding, comparing, and summarising information while making the sources behind the conclusions clear.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/chadixearth/graphyloop/deep-research
Any agent
npx skills add chadixearth/graphyloop --skill deep-research
Clone the repo
git clone --depth 1 https://github.com/chadixearth/graphyloop

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/chadixearth/graphyloop/deep-research.svg)](https://agentmods.dev/skills/chadixearth/graphyloop/deep-research)
Your own site
<a href="https://agentmods.dev/skills/chadixearth/graphyloop/deep-research"><img src="https://agentmods.dev/badge/skills/chadixearth/graphyloop/deep-research.svg" alt="Measured on agentmods" 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 1,206 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. Scan, not verified.
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00048 $0.01206
Opus 5 $0.00024 $0.00603
Sonnet 5 $0.00010 $0.00241
Haiku 4.5 $0.00005 $0.00121

Measured 5d ago against content hash ff2fa9b038f2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, 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 5d 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 `~/.opencode.json` or `~/.codex/config.toml`.
Origin

This is a copy

89% identical to deep-research — 21 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 · 162 lines

How it starts

The opening of the file, as written. The whole thing — 162 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 Activate

  • 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 ~/.opencode.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 · 162 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.

  1. 5d ago First seen · 162 lines · 48 tokens per session scan B ff2fa9b038f2

Subscribe to this mod's changes

deep-research is a skill published in the GitHub repository chadixearth/graphyloop (2 stars, last pushed 19d ago), licensed MIT. It adds 48 tokens to every session and 1,206 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). It is 89% identical to deep-research, differing in 21 lines, and is treated as a copy.

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