kisaki

kisaki is a Desktop & systems apps skill for AI agents, published by ximu3 in the kisaki repository on GitHub. Skillspace rates kisaki C (71/100) and it passed the safety scan; the rating is based on static analysis only.

Kisaki project architecture and coding standards guide. Use when developing, refactoring, or debugging within this Electron + Vue 3 + SQLite monorepo. Covers main process services (ServiceContainer/DI), renderer patterns (Vue 3 SFC/composables), IPC/events contracts, data layer (Drizzle/SQLite), extension system and built-in extension development, runtime logging/error boundaries, UI design system (Tailwind semantic tokens), and build/release workflows.

Grade
C
Quality
71 / 100
Safety
Passed
GitHub stars
26

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.

View source on GitHubximu3/kisaki

Our review

Architecture
94 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
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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