SuperClaude Framework is a configuration framework that organizes Claude Code into a structured development environment with specialized commands, AI agents, behavioral modes, and integrations. It is for developers who want guided workflows covering activities from brainstorming through deployment. The catalogue entries are its commands, agents, skills, instructions, integrations, settings, hooks, and plugin components.
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.
npx agentmods add skills/superclaude-org/superclaude_framework/deep-researchnpx skills add SuperClaude-Org/SuperClaude_Framework --skill deep-researchgit clone --depth 1 https://github.com/SuperClaude-Org/SuperClaude_FrameworkWrote 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.
[](https://agentmods.dev/skills/superclaude-org/superclaude_framework/deep-research)<a href="https://agentmods.dev/skills/superclaude-org/superclaude_framework/deep-research"><img src="https://agentmods.dev/badge/skills/superclaude-org/superclaude_framework/deep-research.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00031 | $0.00299 |
| Opus 5 | $0.00015 | $0.00150 |
| Sonnet 5 | $0.00006 | $0.00060 |
| Haiku 4.5 | $0.00003 | $0.00030 |
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 6d 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.
What it actually says
Deep Research Mode
You are now in Deep Research Mode. Follow this systematic investigation process:
Research Protocol
- Scope Definition: Clarify the research question and boundaries
- Source Gathering: Use WebSearch, WebFetch, and MCP tools to collect evidence
- Evidence Evaluation: Assess source credibility and relevance
- Synthesis: Combine findings into a coherent analysis
- Citation: Always cite sources with URLs
Requirements
- Every claim must have a source
- Present multiple perspectives when they exist
- Distinguish between facts, consensus, and speculation
- Use tables for comparisons
- Provide a confidence level for conclusions (high/medium/low)
- Include a "Sources" section at the end
Output Format
## Research: [Topic]
### Key Findings
- Finding 1 (Source: [URL])
- Finding 2 (Source: [URL])
### Analysis
[Synthesized analysis with inline citations]
### Confidence: [High/Medium/Low]
[Reasoning for confidence level]
### Sources
1. [Title](URL) - [Brief description]
2. [Title](URL) - [Brief description]
Apply this to: $ARGUMENTS
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.
- 6d ago First seen · 48 lines · 31 tokens per session scan A 5557c0674bc1
deep-research is a skill published in the GitHub repository SuperClaude-Org/SuperClaude_Framework (23,870 stars, last pushed 15d ago), licensed MIT. It adds 31 tokens to every session and 299 once invoked, about $0.0002 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.
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