alw
CommunityExpose model assumptions, limits, and weaknesses.
Data & Analytics#assumptions#weaknesses#risk-analysis#evidence-tracking#model-governance#limitations
Authorgtylee
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill formalizes and surfaces implicit assumptions, limitations, and weaknesses embedded in a model, turning tacit risk into explicit, auditable items for governance and safe deployment.
Core Features & Use Cases
- Surface model assumptions (data, methodology, and market dynamics) with traceable evidence.
- Catalog limitations (scope, realism, and applicability) to bound risk.
- Identify weaknesses and potential failure modes with actionable mitigations and ranked priorities.
- Generate a structured, schema-compliant risk report that can feed risk registers and reviews.
Quick Start
Run the ALW assessment on your model outputs to extract explicit assumptions, limitations, and weaknesses. Review the generated JSON against your risk governance checklist and iterate with additional evidence as needed. Save the artifact to your project risk folder to support audits and decision-making.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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: alw Download link: https://github.com/gtylee/CodexGAS/archive/main.zip#alw Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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