What types of logs can this skill validate?

The Log Validator can validate any log type defined in your configuration directories, including session, build, deployment, audit, and custom user-defined types.

Can it detect exposed secrets or API keys?

Yes, the skill includes a standards compliance check that verifies if redaction rules have been applied to prevent leaking sensitive information.

Can I validate multiple logs at once?

Yes, the skill supports batch validation for entire directories and allows filtering by specific log types.

Does it support JSON Schema validation?

Yes, it uses JSON Schema Draft 7 to validate frontmatter metadata, ensuring required fields, data types, and enums are correct.

Does the Log Validator modify my log files?

No, the validation process is strictly read-only. It generates reports on issues found but never modifies the original source files.

Log Validator

Name: Log Validator
Author: fractary

byfractary

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Analíticas y Monitorización

Validates log files against type-specific schemas and standards to ensure structural integrity and data compliance.

Acerca de

The Log Validator skill automates the verification of log files by enforcing strict schema adherence, checking required frontmatter, and ensuring compliance with type-specific validation rules. It supports diverse log types—such as session, build, and deployment logs—by loading context from localized configuration directories. Designed for developers and DevOps teams, it identifies missing fields, invalid data types, and unredacted secrets, providing structured reports that help maintain high-quality observability data within any technical workflow.

Características Principales

Schema-based frontmatter validation using JSON Schema Draft 7
Flexible validation levels from basic schema checks to strict rule enforcement
Standards compliance checking including PII and secret redaction verification
2 GitHub stars
Type-specific rule enforcement for custom log formats (session, build, etc.)
Detailed reporting with categorized errors, warnings, and improvement suggestions

Casos de Uso

Automating CI/CD log verification to detect structural regressions in build reports
Auditing project logs for sensitive information or missing mandatory sections
Ensuring session logs contain all required metadata before automated archiving

Acerca de

Características Principales

Schema-based frontmatter validation using JSON Schema Draft 7
Flexible validation levels from basic schema checks to strict rule enforcement
Standards compliance checking including PII and secret redaction verification
2 GitHub stars
Type-specific rule enforcement for custom log formats (session, build, etc.)
Detailed reporting with categorized errors, warnings, and improvement suggestions

Casos de Uso

Automating CI/CD log verification to detect structural regressions in build reports
Auditing project logs for sensitive information or missing mandatory sections
Ensuring session logs contain all required metadata before automated archiving