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/estimate)<a href="https://agentmods.dev/commands/superclaude-org/superclaude_framework/estimate"><img src="https://agentmods.dev/badge/commands/superclaude-org/superclaude_framework/estimate/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/estimate"><img src="https://agentmods.dev/badge/commands/superclaude-org/superclaude_framework/estimate.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 | $0.00015 | $0.00801 |
| Opus 5.5 | $0.00006 | $0.00320 |
| Sonnet 5.5 | $0.00003 | $0.00160 |
| Haiku 4.5 | $0.00002 | $0.00080 |
Grade A, and why
estimate 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/sc:estimate - Development Estimation
Triggers
- Development planning requiring time, effort, or complexity estimates
- Project scoping and resource allocation decisions
- Feature breakdown needing systematic estimation methodology
- Risk assessment and confidence interval analysis requirements
Usage
/sc:estimate [target] [--type time|effort|complexity] [--unit hours|days|weeks] [--breakdown]
Behavioral Flow
- Analyze: Examine scope, complexity factors, dependencies, and framework patterns
- Calculate: Apply estimation methodology with historical benchmarks and complexity scoring
- Validate: Cross-reference estimates with project patterns and domain expertise
- Present: Provide detailed breakdown with confidence intervals and risk assessment
- Track: Document estimation accuracy for continuous methodology improvement
Key behaviors:
- Multi-persona coordination (architect, performance, project-manager) based on estimation scope
- Sequential MCP integration for systematic analysis and complexity assessment
- Context7 MCP integration for framework-specific patterns and historical benchmarks
- Intelligent breakdown analysis with confidence intervals and risk factors
MCP Integration
- Sequential MCP: Complex multi-step estimation analysis and systematic complexity assessment
- Context7 MCP: Framework-specific estimation patterns and historical benchmark data
- Persona Coordination: Architect (design complexity), Performance (optimization effort), Project Manager (timeline)
- 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.
Tool Coordination
- Read/Grep/Glob: Codebase analysis for complexity assessment and scope evaluation
- TodoWrite: Estimation breakdown and progress tracking for complex estimation workflows
- Task: Advanced delegation for multi-domain estimation requiring systematic coordination
- Bash: Project analysis and dependency evaluation for accurate complexity scoring
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 4d2d2c13cb4d
- 2mo ago First seen · 88 lines · 15 tokens per session scan A fe772a89d263
estimate is a command published in the GitHub repository SuperClaude-Org/SuperClaude_Framework (23,916 stars, last pushed 1mo ago), licensed MIT. It adds 15 tokens to every session and 801 once invoked, about $0.0001 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
estimate
Provide development estimates for tasks, features, or projects with intelligent analysis.
task
Execute complex tasks with intelligent workflow management and delegation.
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.