blockchain-data-collection-validation
CommunityEmpirical validation for blockchain data pipelines.
Authorterrylica
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a rigorous, 5-step empirical workflow to validate blockchain data collection pipelines before production, covering connectivity, schema, rate limits, end-to-end workflows, and governance decisions.
Core Features & Use Cases
- 5-step validation workflow: connectivity, schema, rate limits, complete pipeline, and decision documentation.
- DuckDB integration patterns: guidance for durable storage and validation.
- Templates & references: workflows and anti-patterns to accelerate validation.
Quick Start
Create and run the template PoCs:
- 01_single_block_fetch.py for connectivity and schema checks
- 02_batch_parallel_fetch.py to explore rate-limit behavior
- 03_rate_limited_fetch.py to determine sustainable rate
- 04_complete_pipeline.py to validate end-to-end flow
- Document results in VALIDATION_REPORT.md
Dependency Matrix
Required Modules
web3pandas
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: blockchain-data-collection-validation Download link: https://github.com/terrylica/gapless-network-data/archive/main.zip#blockchain-data-collection-validation Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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