data-critic
OfficialThoroughly review numerical correctness and data logic in code.
Authorzivtech
Version1.0.0
Installs0
System Documentation
What problem does it solve?
The data-critic Skill addresses the challenge of identifying numerical errors and data logic flaws in code, ensuring that calculations and data handling are accurate and reliable.
Core Features & Use Cases
- Formula Verification: Checks every calculation against its specification to ensure accuracy.
- Assumption Extraction: Identifies and validates assumptions made about data.
- Fallback & Default Analysis: Audits handling of missing or out-of-range data.
- Data Provenance Tracing: Tracks data from source to final output to identify transformations and potential issues.
- Unit Consistency Checking: Ensures correct unit usage and conversions.
- Statistical Validity Review: Verifies statistical methods and conclusions.
- Precision & Rounding Audit: Detects and addresses rounding errors and floating-point issues.
- Multi-Perspective Investigation: Reviews from the perspectives of a data engineer, domain expert, and adversarial input tester.
- Gap Analysis: Identifies missing validations and error handling.
- Evidence Requirements: Ensures that findings include specific code references and examples.
Quick Start
Use the data-critic skill to review the 'src/billing/invoice.ts' file for numerical correctness.
Dependency Matrix
Required Modules
None requiredComponents
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: data-critic Download link: https://github.com/zivtech/harsh-critic/archive/main.zip#data-critic Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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