AD unit-convert
길이, 무게, 부피, 넓이, 속도, 온도, 디지털 용량 단위를 서로 변환한다. 번들에 들어 있는 변환표만 쓰기 때문에 네트워크도 API 키도 필요 없다. "5km는 몇 마일", "화씨 100도면 섭씨로 얼마", "30평이 몇 제곱미터" 같은 질문이 나오면 암산하지 말고 이 스킬을 쓴다. 암산에는 반올림 오차가 티 안 나게 섞여 들어간다.
길이, 무게, 부피, 넓이, 속도, 온도, 디지털 용량 단위를 서로 변환한다.
As a process D 38/100 · Unfinished process — weak spots: steps, result and completion, when it triggers
How to improve
- 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: 0. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 38/100
- 0Steps. Prose only: no discrete steps
- 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
- 100Tools and files. No external tools needed
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 379 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
- +4Description does not say when NOT to use the skill (false activations)
- +3No numbered steps or checklist
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +5Description quotes 3 example trigger phrases
- +3Description length 189: enough signal without eating the budget
- +4Structure: 5 headings
- +4Has examples (3 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.
External checks
ClawHub: clean
This skill is an offline unit converter that reads its bundled conversion table and does not request network, credentials, persistence, or broad system access.
LLM: benign (high) · VirusTotal: · 1 Aug 2026