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.
git 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/commands/superclaude-org/superclaude_framework/task)<a href="https://agentmods.dev/commands/superclaude-org/superclaude_framework/task"><img src="https://agentmods.dev/badge/commands/superclaude-org/superclaude_framework/task/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.
<a href="https://agentmods.dev/commands/superclaude-org/superclaude_framework/task"><img src="https://agentmods.dev/badge/commands/superclaude-org/superclaude_framework/task.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00011 | $0.00832 |
| Opus 5.5 | $0.00004 | $0.00333 |
| Sonnet 5.5 | $0.00002 | $0.00166 |
| Haiku 4.5 | $0.00001 | $0.00083 |
Grade A, and why
task 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.
How it starts
The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/sc:task - Enhanced Task Management
Triggers
- Complex tasks requiring multi-agent coordination and delegation
- Projects needing structured workflow management and cross-session persistence
- Operations requiring intelligent MCP server routing and domain expertise
- Tasks benefiting from systematic execution and progressive enhancement
Usage
/sc:task [action] [target] [--strategy systematic|agile|enterprise] [--parallel] [--delegate]
Behavioral Flow
- Analyze: Parse task requirements and determine optimal execution strategy
- Delegate: Route to appropriate MCP servers and activate relevant personas
- Coordinate: Execute tasks with intelligent workflow management and parallel processing
- Validate: Apply quality gates and comprehensive task completion verification
- Optimize: Analyze performance and provide enhancement recommendations
Key behaviors:
- Multi-persona coordination across architect, frontend, backend, security, devops domains
- Intelligent MCP server routing (Sequential, Context7, Magic, Playwright, Morphllm, Serena)
- Systematic execution with progressive task enhancement and cross-session persistence
- Advanced task delegation with hierarchical breakdown and dependency management
MCP Integration
- Sequential MCP: Complex multi-step task analysis and systematic execution planning
- Context7 MCP: Framework-specific patterns and implementation best practices
- Magic MCP: UI/UX task coordination and design system integration
- Playwright MCP: Testing workflow integration and validation automation
- Morphllm MCP: Large-scale task transformation and pattern-based optimization
- Serena MCP: Cross-session task persistence and project memory management
- Availability fallback: The MCP servers named here are preferred tooling, not hard requirements — when one is not installed, degrade gracefully (native reasoning in place of Sequential, official docs via web lookup in place of Context7, native tools otherwise) instead of routing work to absent servers.
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.
- 1mo ago Changed · +2 lines 1c06c6c274ac
- 1mo ago First seen · 89 lines · 11 tokens per session scan A faf49cbb87d9
task is a command published in the GitHub repository SuperClaude-Org/SuperClaude_Framework (23,905 stars, last pushed 20d ago), licensed MIT. It adds 11 tokens to every session and 832 once invoked, about $0.0000 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.
Other commands, from other repositories
task
Execute complex tasks with intelligent workflow management and delegation.
estimate
Provide development estimates for tasks, features, or projects with intelligent analysis.
spawn
Meta-system task orchestration with intelligent breakdown and delegation.
index
Generate comprehensive project documentation and knowledge base with intelligent organization.
reflect
Task reflection and validation using Serena MCP analysis capabilities.
select-tool
Intelligent MCP tool selection based on complexity scoring and operation analysis.