research

research is a command for coding agents from SuperClaude-Org/SuperClaude_Framework. It costs 11 tokens per session (688 once invoked), scanned A, original, MIT.

A command for researching questions on the web using a planned investigation and multiple searches. It can combine information into an evidence-based result.

In plain words
What is it for?
Use it for current events, academic or technical research, market analysis, competitive research, and complex questions beyond the agent's existing knowledge.
Why use it?
It helps investigate questions that require current information, several sources, or more steps than a simple search.

Command

Part of the superclaude plugin — 2 skills, 30 commands, 20 agents, 1 hook, 2 MCP servers shipped together

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 commands/superclaude-org/superclaude_framework/research
Clone the repo
git clone --depth 1 https://github.com/SuperClaude-Org/SuperClaude_Framework

Or install superclaude, the plugin that ships this one along with the rest of its 2 skills, 30 commands, 20 agents, 1 hook, 2 MCP servers.

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 research

README.md
[![agentmods](https://agentmods.dev/badge/commands/superclaude-org/superclaude_framework/research.svg)](https://agentmods.dev/commands/superclaude-org/superclaude_framework/research)
Your own site
<a href="https://agentmods.dev/commands/superclaude-org/superclaude_framework/research"><img src="https://agentmods.dev/badge/commands/superclaude-org/superclaude_framework/research.svg" alt="Measured on agentmods" height="20"></a>
Per session 11 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 688 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00011 $0.00688
Opus 5 $0.00005 $0.00344
Sonnet 5 $0.00002 $0.00138
Haiku 4.5 $0.00001 $0.00069

Measured 4d ago against content hash 5389081cbc4a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

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.

plugins/superclaude/commands/research.md · 103 lines

How it starts

The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/sc:research - Deep Research Command

Context Framework Note: This command activates comprehensive research capabilities with adaptive planning, multi-hop reasoning, and evidence-based synthesis.

Triggers

  • Research questions beyond knowledge cutoff
  • Complex research questions
  • Current events and real-time information
  • Academic or technical research requirements
  • Market analysis and competitive intelligence

Context Trigger Pattern

/sc:research "[query]" [--depth quick|standard|deep|exhaustive] [--strategy planning|intent|unified]

Behavioral Flow

1. Understand (5-10% effort)

  • Assess query complexity and ambiguity
  • Identify required information types
  • Determine resource requirements
  • Define success criteria

2. Plan (10-15% effort)

  • Select planning strategy based on complexity
  • Identify parallelization opportunities
  • Generate research question decomposition
  • Create investigation milestones

3. TodoWrite (5% effort)

  • Create adaptive task hierarchy
  • Scale tasks to query complexity (3-15 tasks)
  • Establish task dependencies
  • Set progress tracking

4. Execute (50-60% effort)

  • Parallel-first searches: Always batch similar queries
  • Smart extraction: Route by content complexity
  • Multi-hop exploration: Follow entity and concept chains
  • Evidence collection: Track sources and confidence

5. Track (Continuous)

  • Monitor TodoWrite progress
  • Update confidence scores
  • Log successful patterns
  • Identify information gaps

6. Validate (10-15% effort)

  • Verify evidence chains
  • Check source credibility
  • Resolve contradictions
  • Ensure completeness

Key Patterns

Parallel Execution

  • Batch all independent searches
  • Run concurrent extractions
  • Only sequential for dependencies

Evidence Management

  • Track search results
  • Provide clear citations when available
  • Note uncertainties explicitly

Adaptive Depth

  • Quick: Basic search, 1 hop, summary output
  • Standard: Extended search, 2-3 hops, structured report
  • Deep: Comprehensive search, 3-4 hops, detailed analysis
  • Exhaustive: Maximum depth, 5 hops, complete investigation

Read the full file on GitHub · 103 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 · 103 lines · 11 tokens per session scan A 5389081cbc4a

Subscribe to this mod's changes

research is a command published in the GitHub repository SuperClaude-Org/SuperClaude_Framework (23,868 stars, last pushed 13d ago), licensed MIT. It adds 11 tokens to every session and 688 once invoked, about $0.0001 per session on Opus 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.