SKILLEMALL.ai

AC korea-air-quality

대한민국 대기질(미세먼지, 초미세먼지, 오존, 통합대기) 조회·브리핑·알림을 위한 OpenClaw 스킬. 사용자가 서울/성동구/분당 같은 한국 지역의 공기질을 묻거나, 오늘/지금 대기질 요약, 현재 위치 기반 조회, 기본 지역 저장, 나쁨 이상 알림, 매일 아침 대기질 브리핑, 여러 지역 비교를 원할 때 사용한다. 특히 한국 지역명 입력을 받아 지역/측정소 후보를 해석하고, 위치 공유 다음 저장된 기본 지역, 그다음 수동 지역 입력 순서로 기본 지역을 결정하는 워크플로에 적합하다.

ClawHub Agent Skills author: twbeatles v2026.4.16 MIT-0 9 files body ≈ 627 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process C 62/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
78
Run on models
none yet
Process rating
C
62/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
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: 9. 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 62/100

  • 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
  • 60Result and completion. Output format stated, no completion criterion
  • 100Tools and files. No external tools needed
  • 100Steps. 45 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 627 tokens
  • 100Running it twice. No mutating operations

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)
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 271: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 45 items
  • +3Output format is stated explicitly
  • +4Reference files are cited in the instructions (1 of 5)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.

External checks

ClawHub: clean
This appears to be a legitimate Korea air-quality lookup and alert skill, with some local privacy and portability caveats users should review.
LLM: benign (high) · VirusTotal: · 29 May 2026