Can I export the log data for use in other tools?

Yes, by setting the format to 'json', the skill provides structured data including paths, metadata, and retention details suitable for automation.

How does the skill handle metadata?

It extracts YAML frontmatter (content between --- markers) from the top of Markdown files to filter by custom fields like status, title, and date.

Does Log Lister modify my log files?

No, Log Lister is a read-only operation. It lists and parses logs for discovery purposes but never modifies or deletes existing log content.

Can I filter logs by their age?

Yes, you can use the 'date_from' and 'date_to' inputs to filter logs within specific ISO 8601 date ranges.

What log types does Log Lister support?

Log Lister supports session, build, deployment, debug, test, audit, operational, and untyped logs found in the .fractary/logs/ directory.

Log Lister

Name: Log Lister
Author: fractary

$fractary$ byfractary

•

Analíticas y Monitorización

Lists, filters, and queries project logs with automated frontmatter parsing and retention awareness.

Log Lister is a specialized Claude Code skill designed to provide flexible log discovery and management within the .fractary/logs/ directory structure. It enables developers to query logs by specific types—such as build, session, deployment, or test—while filtering by status and date range. By automatically parsing YAML frontmatter, the skill extracts metadata for advanced sorting and provides enriched output, including retention policy status. Whether you need a human-readable table for quick auditing or structured JSON for automation, Log Lister streamlines the process of navigating complex project activity records.

Características Principales

01Integrated retention policy checking and expiry date calculation

022 GitHub stars

03Automated YAML frontmatter parsing for metadata extraction

04Multi-type log filtering (Session, Build, Deployment, Test, Audit, etc.)

05Flexible output formats including Table, JSON, Summary, and Detailed views

06Advanced sorting and pagination for large log directories

Casos de Uso

01Auditing failed test runs or build deployments within a specific date range

02Generating project activity summaries for team reporting and documentation

03Identifying expired or expiring logs based on defined retention policies

Características Principales

01Integrated retention policy checking and expiry date calculation

022 GitHub stars

03Automated YAML frontmatter parsing for metadata extraction

04Multi-type log filtering (Session, Build, Deployment, Test, Audit, etc.)

05Flexible output formats including Table, JSON, Summary, and Detailed views

06Advanced sorting and pagination for large log directories

Casos de Uso

01Auditing failed test runs or build deployments within a specific date range

02Generating project activity summaries for team reporting and documentation

03Identifying expired or expiring logs based on defined retention policies