SKILLEMALL.ai

AC faktum-android

Faktum News Android 앱 개발 세션. Google 공식 Android CLI(`~/bin/android`) + 공식 Skills(android-cli, navigation-3, edge-to-edge)를 조합해 Kotlin + Jetpack Compose로 모바일 앱을 만든다. "안드로이드 앱 만들어", "팩툼 앱", "모바일 앱", "android 앱", "faktum 앱", "앱 만들자" 등 한국어 트리거로 발동. Faktum 웹(Next.js 16, 포트 3099)의 SQLite/FTS5 API를 백엔드로 재사용.

ClawHub Agent Skills author: ntriq v1.0.0 MIT-0 2 files body ≈ 655 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
C
51/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 51/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 100Tools and files. No external tools needed
  • 100Steps. 18 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 655 tokens

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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +3Description length 301: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 18 items
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: suspicious
This Android development skill appears purpose-aligned, but it can activate from broad phrases and then read private local project notes and use tooling that may change shared AI skill directories.
LLM: suspicious (high) · VirusTotal: · 29 May 2026