watchcow-labels-skill

watchcow-labels-skill is a Containers & Kubernetes skill for AI agents, published by tf4fun in the watchcow repository on GitHub. Skillspace rates watchcow-labels-skill D (57/100) and it passed the safety scan; the rating is based on static analysis only.

Convert Docker Compose files to WatchCow format for fnOS by adding the correct `watchcow.*` labels. Use this skill whenever a user wants to deploy a Docker container on fnOS (飞牛OS), convert a compose.yaml to WatchCow format, add WatchCow labels, create an fnOS native app from Docker, or asks about watchcow label configuration. Also trigger when the user mentions "飞牛", "fnOS app", or wants a Docker container to show up in the fnOS App Center.

Grade
D
Quality
57 / 100
Safety
Passed
GitHub stars
199

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.

View source on GitHubtf4fun/watchcow

Our review

Architecture
80 / 100
Maturity
Basic: a single SKILL.md
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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