Audit enabled skill consumers for stale dependency files against producer freshness thresholds.
npx skills add https://github.com/anajuliabit/aeon --skill skill-freshness
Please help me install this Agent Skill. Skill: skill-freshness Source: https://github.com/anajuliabit/aeon/tree/main/skills/skill-freshness Command: npx skills add https://github.com/anajuliabit/aeon --skill skill-freshness
Skill freshness prevents autonomous workflows from consuming outdated upstream outputs without errors by auditing on-disk file modification times against expected producer cadences.
aeon.yml chain consume edges as the source of truth, then supplements coverage by extracting real path references from enabled skills’ SKILL.md files.OK, WARN, STALE, and MISSING, with suggested next actions for the worst consumers.Run skill-freshness in dry-run mode for a fleet audit of all enabled skills by using var=dry-run in your invocation.
High-intent search queries and answers about installing and using this skill.
Silent stale data is detected by auditing dependency file modification times and existence against expected producer freshness thresholds. This catches downstream skills consuming outdated cached files when upstream producers stop updating without errors.
Scheduled workflows use cached files because autonomous agents lack inherent staleness detection. Auditing dependency file modification times against producer cadences is required to flag outdated artifacts and prevent downstream skills from silently consuming stale data.
Run a freshness audit in dry-run mode by setting var=dry-run in your invocation. This locally parses aeon.yml schedules and SKILL.md dependency references to produce a decision-ready report flagging OK, WARN, STALE, and MISSING dependencies.
Dependency tracking handles alert deduplication by fingerprinting flagged dependencies to suppress repeated notifications. This prevents alert fatigue while ensuring persistent stale data issues are periodically re-emitted to maintain visibility.
Implicit dependency paths are extracted by parsing real path references directly from enabled skills' SKILL.md files. This supplements explicit aeon.yml consume edges to ensure full freshness monitoring coverage across autonomous agent workflows.
File mtime staleness detection is limited to local-only parsing of aeon.yml schedules and SKILL.md references. It compares modification times against expected producer thresholds but cannot verify semantic data accuracy within freshly modified files.
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