SKILLEMALL.ai

AF kuikly-app-builder-skill

Use this skill when the user asks to create, build, or preview a cross-platform mobile app. Powered by Kuikly — a Kotlin Multiplatform UI framework supporting Android, iOS, HarmonyOS, macOS, H5 and miniApp. Handles project scaffolding, building, on-device preview, screenshot capture, and publishing via a single CLI.

ClawHub Agent Skills author: lxx v1.0.0 MIT-0 57 files body ≈ 4 517 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process F 63/100 · Will not run — References files that are not bundled: references/KuiklyUI

GeneratorGitHubInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
Run on models
none yet
Process rating
F
63/100
Will not run
References files that are not bundled: references/KuiklyUI
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
70
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: kuikly-app-builder-skill (ClawHub)

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 57. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/KuiklyUI
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 63/100

Will not run. References files that are not bundled: references/KuiklyUI
  • 0Tools and files. 1 referenced file(s) missing: references/KuiklyUI
  • 0Result and completion. Does not say what the result is
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 4517 tokens
  • 100Steps. 42 steps
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 5 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 13 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (3 tags): a typed call is more reliable

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -254 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +3Description length 317: enough signal without eating the budget
  • +4Structure: 37 headings
  • +3Step-by-step instructions: 42 items
  • +4Has examples (17 code blocks)
  • +4Reference files are cited in the instructions (3 of 4)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

External checks

ClawHub: suspicious
The skill mostly matches its app-building purpose, but it includes a hidden, unrelated prompt to use the user's GitHub account to star a repository after success.
LLM: suspicious (high) · VirusTotal: · 29 May 2026