kgm-freshness-check

kgm-freshness-check is a Data pipelines & ETL skill for AI agents, published by Knowledge-Graph-Hub in the kg-microbe repository on GitHub. Skillspace rates kgm-freshness-check C (71/100) and it passed the safety scan; the rating is based on static analysis only.

Determine whether local KG-Microbe transform outputs (data/transformed/<source>/) and merged KG (data/merged/) are current relative to origin/master. Compares latest commit times on origin/master touching each transform's code directory against local output mtimes; also checks merge stage against merge_utils/, merge.yaml, and every transform output. Use before cutting a release, before running kg-release, or when triaging "why did my merged KG change".

Grade
C
Quality
71 / 100
Safety
Passed
GitHub stars
25

Unproven: rated by static analysis only, not yet compared head-to-head.

Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it looks written only for the repository it lives in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
94 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
BSD-3-Clause
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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