kkirikkiri

kkirikkiri is an Agent, team & workflow authoring skill for AI agents, published by fivetaku in the gptaku-plugins-codex repository on GitHub. Skillspace rates kkirikkiri C (79/100) and it passed the safety scan; the rating is based on static analysis only.

Assemble and run a Codex-native agent team from one plain-language request. Interviews the user with 2-3 questions, proposes specialized agents synthesized from 7 archetypes + domain detail, then executes with a local lead plus bounded sidecar agents and shared memory in `.kkirikkiri/`. Use when the user explicitly wants delegation, a research/development/analysis/content/product team, or parallel sub-agent work. Korean triggers — 팀 만들어줘, 리서치 팀, 끼리끼리, 팀 구성해줘. English — build a team, research team, agent team, kkirikkiri.

Grade
C
Quality
79 / 100
Safety
Passed
GitHub stars
109

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

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

Our review

Architecture
97 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
MIT
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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