verifiable-ai-trust-layer
Installation
SKILL.md
Purpose
Use this skill to plan an AI workflow for regulated domains where outputs must be verifiable against underlying documents (e.g., financial filings).
Instructions
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Separate responsibilities
- Assign Claude to interpretation, ambiguity detection, and planning.
- Use deterministic components for retrieval, computation, and assembling final outputs so results are provably correct.
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Build for provenance and auditability
- Ensure each number/claim can be traced to a specific source document and location (page/line item).
- Maintain audit logs and enforce security/access control at every step.
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Engineer the surrounding context
- Provide structured domain knowledge: definitions, formulas, and hard boundaries.
- Maintain an ontology that maps domain concepts to precise definitions (customizable where needed).
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Use multi-stage pipelines and match models to stages
- Decompose complex workflows into stages (intent decomposition → retrieval → compute → assemble → review).
- Use higher-reasoning models for ambiguity resolution and plan generation; use faster models for constrained stages.