kg-path-review

kg-path-review is a Bioinformatics & life sciences skill for AI agents, published by Knowledge-Graph-Hub in the kg-microbe repository on GitHub. Skillspace rates kg-path-review C (71/100) and it passed the safety scan; the rating is based on static analysis only.

Walk and validate multi-hop semantic paths in KG-Microbe transform outputs. Use to uncover modeling bugs where the KG does not accurately represent the raw data — cross-contamination, self-loops, phantom intermediates, false-majority emission, missing expected paths, cardinality outliers — by combining open-ended path exploration with built-in archetype checks calibrated against the raw source data.

Grade
C
Quality
71 / 100
Safety
Passed
GitHub stars
25

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

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

  • 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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