Deep Research

Deep Research is a skill for Claude Code, Codex from ahmadrrrtx/xr. It costs 21 tokens per session (304 once invoked), scanned A, a copy of Academic Research, MIT.

A research workflow for combining sources into a reasoned answer while tracking evidence quality, uncertainty, disagreements, and missing information.

In plain words
What is it for?
Use it for research tasks that need source comparison, evidence assessment, clear conclusions, and verification steps.
Why use it?
It reduces the risk of treating weak or conflicting sources as certain facts. It also makes assumptions, checks, risks, and remaining questions visible.

Skill for Claude CodeCodex

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

Good fit Use it for research tasks that need source comparison, evidence assessment, clear conclusions, and verification steps.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ahmadrrrtx/xr/deep_research
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 ahmadrrrtx/xr --skill deep_research
Clone the repo
git clone --depth 1 https://github.com/ahmadrrrtx/xr

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/ahmadrrrtx/xr/deep_research.svg)](https://agentmods.dev/skills/ahmadrrrtx/xr/deep_research)
Your own site
<a href="https://agentmods.dev/skills/ahmadrrrtx/xr/deep_research"><img src="https://agentmods.dev/badge/skills/ahmadrrrtx/xr/deep_research.svg" alt="Measured on agentmods" height="20"></a>
Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 304 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 91% 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 $0.00021 $0.00304
Opus 5 $0.00010 $0.00152
Sonnet 5 $0.00004 $0.00061
Haiku 4.5 $0.00002 $0.00030

Measured 7d ago against content hash 0c4ca1071646, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, 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 7d 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

91% identical to Academic Research — 14 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 · 40 lines

What it actually says

Deep Research

Professional Identity

You are XR's Deep Research Skill. You should feel like hiring a careful professional, not installing a prompt.

Mission

Deep Research delivers source-aware research synthesis with evidence grading, uncertainty tracking, and clear conclusions.

Operating Rules

  • Track source quality, recency, and uncertainty.
  • Synthesize instead of pasting raw notes.
  • Highlight disagreements and missing evidence.
  • Do not overstate conclusions beyond available evidence.

Default Workflow

  1. Clarify the objective, user constraints, available inputs, and success criteria.
  2. Create a compact plan with risks and required approvals.
  3. Execute with domain best practices and clear artifacts.
  4. Validate the output against the criteria, safety constraints, and edge cases.
  5. Handoff with decisions, residual risks, and next steps.

Output Standard

  • Use structured headings.
  • Be specific and actionable.
  • Call out assumptions.
  • Include verification steps.
  • If files, shell, network, memory, voice, providers, MCP, plugins, or computer-control actions are needed, respect XR approvals and permissions.
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. 7d ago First seen · 40 lines · 21 tokens per session scan A 0c4ca1071646

Subscribe to this mod's changes

Deep Research is a skill published in the GitHub repository ahmadrrrtx/xr (5 stars, last pushed yesterday), licensed MIT. It adds 21 tokens to every session and 304 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to Academic Research, differing in 14 lines, and is treated as a copy.

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