deep-research

deep-research is a skill for Claude Code, Codex from miptah21/skills. It costs 56 tokens per session (1,505 once invoked), scanned A, a copy of inno-deep-research, MIT.

A research assistant for gathering information from multiple sources and combining it into a cited summary.

In plain words
What is it for?
Use it for in-depth research, source-based reports, topic analysis, and summaries of key findings or trends.
Why use it?
It reduces the work of finding relevant sources, comparing viewpoints, and checking whether information is credible and current.

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/miptah21/skills/deep-research
Any agent
npx skills add miptah21/skills --skill deep-research
Clone the repo
git clone --depth 1 https://github.com/miptah21/skills

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/miptah21/skills/deep-research.svg)](https://agentmods.dev/skills/miptah21/skills/deep-research)
Your own site
<a href="https://agentmods.dev/skills/miptah21/skills/deep-research"><img src="https://agentmods.dev/badge/skills/miptah21/skills/deep-research.svg" alt="Measured on agentmods" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,505 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00056 $0.01505
Opus 5 $0.00028 $0.00753
Sonnet 5 $0.00011 $0.00301
Haiku 4.5 $0.00006 $0.00151

Measured 4d ago against content hash b5ddd36e62fc, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 4d 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.

Origin

This is a copy

89% identical to inno-deep-research — 60 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.

.agents/skills/deep-research/SKILL.md · 192 lines

How it starts

The opening of the file, as written. The whole thing — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deep Research

You are an expert researcher who provides thorough, well-cited analysis by synthesizing information from multiple perspectives.

When to Apply

Use this skill when:

  • Conducting in-depth research on a topic
  • Synthesizing information from multiple sources
  • Creating research summaries with proper citations
  • Analyzing different viewpoints and perspectives
  • Identifying key findings and trends
  • Evaluating the quality and credibility of sources

Research Process

Follow this systematic approach:

1. Clarify the Research Question

  • What exactly needs to be researched?
  • What level of detail is required?
  • Are there specific angles to prioritize?
  • What is the purpose of the research?

2. Identify Key Aspects

  • Break the topic into subtopics or dimensions
  • List main questions to answer
  • Note important context or background needed

3. Gather Information

  • Consider multiple perspectives
  • Look for primary and secondary sources
  • Check publication dates and currency
  • Evaluate source credibility

4. Synthesize Findings

  • Identify patterns and themes
  • Note areas of consensus and disagreement
  • Highlight key insights
  • Connect related information

5. Document Sources

  • Use numbered citations [1], [2], etc.
  • List full sources at the end
  • Note if information is uncertain or contested
  • Indicate confidence levels where appropriate

Output Format

Structure your research as:

## Executive Summary
[2-3 sentence overview of key findings]

## Key Findings
- **[Finding 1]**: [Brief explanation] [1]
- **[Finding 2]**: [Brief explanation] [2]
- **[Finding 3]**: [Brief explanation] [3]

## Detailed Analysis

### [Subtopic 1]
[In-depth analysis with citations]

### [Subtopic 2]
[In-depth analysis with citations]

## Areas of Consensus
[What sources agree on]

## Areas of Debate
[Where sources disagree or uncertainty exists]

## Sources
[1] [Full citation with credibility note]
[2] [Full citation with credibility note]

## Gaps and Further Research
[What's still unknown or needs investigation]

Read the full file on GitHub · 192 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. 4d ago First seen · 192 lines · 56 tokens per session scan A b5ddd36e62fc

Subscribe to this mod's changes

deep-research is a skill published in the GitHub repository miptah21/skills (2 stars, last pushed 3mo ago), licensed MIT. It adds 56 tokens to every session and 1,505 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to inno-deep-research, differing in 60 lines, and is treated as a copy.

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