Can I use this skill in my CI/CD pipeline?

Yes, the skill is designed for automation; it returns a non-zero exit code when violations are detected, allowing you to fail builds or deployments if logs are invalid.

What does the Decision Log Audit skill do?

It validates that decision logs stored in JSONL format comply with predefined JSON schemas and contain all necessary metadata like trace IDs and versioning information.

What files does this skill require to run?

The skill typically requires access to decision log files (e.g., logs/decision.log.jsonl) and the Decision JSON Schema (e.g., contracts/schemas/decision.schema.json).

Which specific metadata fields does it verify?

It checks for the presence of trace_id, decision_id, schema_version, and decision_version to ensure every decision is traceable and version-controlled.

Decision Log Auditor

Name: Decision Log Auditor
Author: Nepopams

byNepopams

Analytics & Monitoring

Validates Decision API JSONL logs against schema requirements and platform invariants to ensure data integrity.

About

The Decision Log Auditor skill provides automated validation for runtime decision logs produced by the Decision API. It ensures that every record in your JSONL log files strictly adheres to the DecisionDTO schema, contains essential metadata like trace IDs and schema versions, and maintains append-only integrity. This skill is crucial for developers and system auditors who need to maintain reliable decision-making trails in AI-driven platforms, preventing data corruption and ensuring compliance across the system's decision-making history.

Key Features

0 GitHub stars
JSON Schema validation for DecisionDTO entries
Detailed audit reporting printed directly to stdout
Append-only log semantic verification to detect malformed entries
Automated exit code signaling for seamless CI/CD integration

Use Cases

Ensuring schema compliance within automated testing and deployment pipelines
Debugging malformed decision data in production or staging environments
Verifying log integrity during system migrations or schema updates

About

Key Features

0 GitHub stars
JSON Schema validation for DecisionDTO entries
Detailed audit reporting printed directly to stdout
Append-only log semantic verification to detect malformed entries
Automated exit code signaling for seamless CI/CD integration

Use Cases

Ensuring schema compliance within automated testing and deployment pipelines
Debugging malformed decision data in production or staging environments
Verifying log integrity during system migrations or schema updates