An interactive framework for human-AI collaborative crypto research, providing structured workflows for deep technical and market analysis.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install cirf
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install cirf using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is CIRF: Crypto Interactive Research Framework?
CIRF (Crypto Interactive Research Framework) is a professional-grade system designed for high-fidelity crypto research through human-AI pair collaboration. Instead of relying on unpredictable autonomous execution, CIRF prioritizes a collaborative philosophy where Openclaw Skills act as specialized analysts—spanning Research, Technology, Content, and QA—working alongside humans to ensure transparency, evidence-based findings, and actionable investment intelligence.
The framework is built on a structured methodology that uses YAML-based configuration and Markdown templates to maintain consistency across complex research projects. By embodying specific expert personas, the agents within CIRF provide a disciplined approach to market intelligence, architectural security audits, and content synthesis, ensuring that every claim is backed by sources and validated through human feedback loops.
CIRF: Crypto Interactive Research Framework Use Cases
- Conducting deep-dive market intelligence and fundamental analysis for emerging blockchain protocols.
- Performing technical architecture audits and security-first evaluations of smart contract platforms and DeFi ecosystems.
- Transforming complex research data into high-quality content for social platforms, technical blogs, or investor briefs.
- Validating research findings through a dedicated QA workflow to eliminate analytical bias and identify data gaps.
How CIRF: Crypto Interactive Research Framework Works
- Activation: The user triggers the framework by calling a specific agent persona or requesting a named research workflow.
- Initialization: The system reads the agent persona, core configuration, and specific research methodology from the framework directory to set the analytical context.
- Workspace Setup: A dedicated project workspace is created to isolate source materials, references, and research versions.
- Collaborative Execution: The agent executes the research in structured phases, checking in with the user for validation and data clarification after each milestone.
- Synthesis & Output: Final findings are synthesized according to pre-defined templates and saved as structured deliverables in the project workspace.
CIRF: Crypto Interactive Research Framework Setup
To deploy these Openclaw Skills, you must maintain the standard CIRF directory structure. Begin by cloning the repository and initializing your first research workspace.
# Clone the framework repository
git clone https://github.com/kudodefi/cirf
# Navigate to the framework directory
cd cirf/framework
# Create a new project workspace
mkdir -p ../workspaces/my-research-project/documents
cp _workspace.yaml ../workspaces/my-research-project/workspace.yaml
CIRF: Crypto Interactive Research Framework Data Schema & Taxonomy
CIRF organizes its intelligence through a strict taxonomy of configuration and project files.
| Directory | Purpose | Primary Data Types |
|---|---|---|
framework/agents/ |
Persona Definitions | YAML (Identity, expertise, protocols) |
framework/workflows/ |
Research Logic | MD (Objectives, output templates) |
framework/components/ |
Execution Protocols | MD (Init and execution steps) |
workspaces/{id}/ |
Research Artifacts | YAML (Context), MD (Outputs), Source Docs |
CIRF: Crypto Interactive Research Framework Advanced Features
- Multi-Agent Orchestration: Coordinate complex, multi-layered research plans by activating the Orchestrator mode to sync multiple Openclaw Skills.
- Evidence-Based Protocols: Integrated requirement for all analytical claims to be backed by cited sources with transparent confidence levels.
- Custom Workflow Registry: Users can define and register new research methodologies and output templates within the core configuration for specialized use cases.
- Bias Detection & Gap Analysis: Specialized QA workflows designed to challenge logical assumptions and identify missing data points in the research lifecycle.
SKILL.md
Loading
Related Openclaw Skills
iOS Dev & App Store Release (China)
An end-to-end workflow guide for developing, building, and submitting iOS applications specifically tailored for the China App Store environment.
Social Media Ops
A comprehensive multi-agent framework that scaffolds a specialized seven-agent team to manage multi-brand social media operations with automated workflows and approval gates.
Triple Memory System
A comprehensive three-tier memory architecture combining vector search, structured local notes, and workspace file indexing for AI agents.
Triple Memory System
A sophisticated three-tier memory architecture that integrates vector databases, structured git-based notes, and local file search for total context persistence.
Warden Agent Builder
An advanced toolkit for building and deploying original LangGraph-based AI agents within the Warden Protocol ecosystem using Openclaw Skills.
Elysium Arcology Planner
An interactive simulator and blueprint generator for orbital arcologies and fusion reactors, powered by Openclaw Skills.
METADATA
Featured*
