deep-research

deep-research is a skill for Claude Code from jezweb/claude-skills. It costs 126 tokens per session (3,595 once invoked), scanned A, original, MIT.

A research process for investigating a product idea or technical choice before building it. It can examine local projects, competitors, online discussions, reviews, libraries, and other implementation options.

In plain words
What is it for?
Use it to compare technologies, study competitors, investigate plugin ecosystems, understand user needs, or prepare a research brief for a new project.
Why use it?
It replaces early guesses with a written view of the relevant choices, ecosystem, and risks.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions CLAUDE.md; mentions subagents.

Part of the dev-tools plugin — 16 skills, 14 commands shipped together

Good fit Use it to compare technologies, study competitors, investigate plugin ecosystems, understand user needs, or prepare a research brief for a new project.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jezweb/claude-skills/deep-research
About the project

jezweb/claude-skills is a collection of skills, commands, plugins, settings, instructions, and hooks that guide the Claude Code CLI through development tasks and produce outputs such as project scaffolds, assets, documents, or deployed services. It is for developers using Claude Code with technologies and services including Cloudflare, React, Tailwind, Shopify, and WordPress. The catalogue entries are the project's own Claude Code workflow components.

jezweb/claude-skills · 1,075 stars · on GitHub · jezweb.com.au

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 jezweb/claude-skills --skill deep-research
Clone the repo
git clone --depth 1 https://github.com/jezweb/claude-skills

Made for: Claude Code.

Or install dev-tools, the plugin that ships this one along with the rest of its 16 skills, 14 commands.

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/jezweb/claude-skills/deep-research/github.svg)](https://agentmods.dev/skills/jezweb/claude-skills/deep-research)
Your own site
<a href="https://agentmods.dev/skills/jezweb/claude-skills/deep-research"><img src="https://agentmods.dev/badge/skills/jezweb/claude-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/jezweb/claude-skills/deep-research"><img src="https://agentmods.dev/badge/skills/jezweb/claude-skills/deep-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 126 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,595 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. Third-party audits
  • Socket pass 15 Sept 2026
  • Snyk warn 15 Sept 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00126 $0.03595
Opus 5.5 $0.00050 $0.01438
Sonnet 5.5 $0.00025 $0.00719
Haiku 4.5 $0.00013 $0.00360

Measured 1mo ago against content hash eb46840e338a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 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.

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.

plugins/dev-tools/skills/deep-research/SKILL.md · 316 lines

How it starts

The opening of the file, as written. The whole thing — 316 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deep Research

Comprehensive research and discovery before building something new. Instead of jumping straight into code from training data, this skill goes wide and deep — local exploration, web research, competitor analysis, ecosystem signals, future-casting — and produces a research brief that makes the actual build 10x more productive.

Depth Levels

The difference is scope of ambition, not just time.

Depth Purpose Scope
focused Answer a specific question One decision: "CodeMirror vs ProseMirror?" — targeted search, local scan, 1-2 comparisons. Produces a 1-page recommendation.
wide Understand the space Landscape for a new product or feature. Competitors, ecosystem, user needs, architecture options. Enough to write a spec.
deep Plan a major build Leave no stone unturned. Everything in wide PLUS library/component research, plugin ecosystems, GitHub issues mining, community sentiment, future-casting, technical deep-dives on every decision. Enough to drive weeks of coding.

Default: wide

Workflow

1. Understand the Intent

Ask the user:

  • What are you building? (one sentence)
  • Why? What problem does it solve? Who's it for?
  • Constraints? Stack preferences, budget, timeline, must-haves?
  • Existing work? Any projects to build on? Repos to look at?

If the user gives a brief prompt ("obsidian replacement on cloudflare"), that's enough — fill in the gaps through research.

2. Local Exploration

Scan the user's machine for relevant prior work:

# Find related projects by name/keyword
ls ~/Documents/ | grep -i "KEYWORD"

# Read CLAUDE.md of related projects for architecture context
find ~/Documents -maxdepth 2 -name "CLAUDE.md" -exec grep -l "KEYWORD" {} \;

# Check for reusable patterns, schemas, components
find ~/Documents -maxdepth 3 -name "schema.ts" -o -name "ARCHITECTURE.md" | head -20

For each related project found:

  • Read CLAUDE.md (stack, architecture, gotchas)
  • Check for reusable code (schemas, components, utilities, configs)
  • Note what worked well and what didn't (from git history, TODO comments)

Read the full file on GitHub · 316 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. 1mo ago First seen · 316 lines · 126 tokens per session scan A eb46840e338a

Subscribe to this mod's changes

deep-research is a skill published in the GitHub repository jezweb/claude-skills (1,075 stars, last pushed 16d ago), licensed MIT. It adds 126 tokens to every session and 3,595 once invoked, about $0.0005 per session on Opus 5.5. 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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