graph

graph is a Personal knowledge & notes skill for AI agents, published by Miosa-osa in the canopy repository on GitHub. Skillspace rates graph D (59/100) and it passed the safety scan; the rating is based on static analysis only.

9 graph analysis operations for knowledge networks: triangles (synthesis opportunities), bridges (critical connectors), clusters (isolated subgraphs), hubs (high-degree nodes), siblings (unconnected items sharing topics), forward/backward traversal, orphans, and staleness scan. The analytical lens on your knowledge structure. Triggers on: "graph", "connections", "network analysis", "knowledge map"

Grade
D
Quality
59 / 100
Safety
Passed
GitHub stars
223

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
84 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 1 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

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.