Log Betty Framework skill executions as timestamped JSON audit entries.
npx skills add https://github.com/epieczko/betty --skill audit-log
Please help me install this Agent Skill. Skill: audit.log Source: https://github.com/epieczko/betty/tree/main/skills/audit.log Command: npx skills add https://github.com/epieczko/betty --skill audit-log
The audit.log skill provides centralized audit logging for the Betty Framework. It records timestamped JSON entries tracking skill execution, status, duration, and errors to support compliance, debugging, and operational visibility.
Append an audit entry for a sample skill: python audit_log.py "workflow.validate" "success" 150
High-intent search queries and answers about installing and using this skill.
Centralized audit logging captures timestamped JSON entries for every skill execution, recording status, duration, errors, and metadata. Use audit.log to automatically append entries with fields like timestamp, skill name, execution status, and duration_ms, enabling compliance tracking and debugging without manual log management.
Yes, audit logging records execution status, duration in milliseconds, and error details for each skill run. Every logged entry includes timestamp, skill identifier, completion status, and metadata fields, providing visibility into both failures and performance across all Betty Framework skill executions.
Audit log rotation automatically retains only the most recent 10,000 entries in JSON format. When the limit is reached, older entries are removed, keeping the log file manageable while preserving the most recent execution history for debugging and compliance review.
Yes, audit logging implements thread-safe writes via safe_update_json to handle concurrent skill executions. Multiple skills can write audit entries simultaneously without data corruption, ensuring reliable JSON structured output across parallel Betty Framework operations.
Invoke audit logging from the command line by passing the skill name, execution status, and duration: python audit_log.py "skill.name" "success" 150. This appends a timestamped JSON entry with all required fields and automatically manages log rotation.
Yes, audit logging supports both CLI invocation and registry integration within the Betty Framework. Once integrated, audit entries are automatically generated for all skill executions tracked through the framework's registry without additional configuration per skill.
pradyumnasagarAutomate inter-skill data transfer and provenance capture via JSON Material Passports.
Arnutt-NConsolidate real-time HR-IMS audit events into a unified monitoring dashboard.
epieczkoUpdate the Betty Framework Skill Registry by validating YAML manifests and enforcing policies.
Prompt-or-Die-LabsConfigure centralized logging with ELK, Loki, or Splunk across services and environments.
