BC sdd
Scenario-Driven Detection — AI 자율 추론 기반 논리 결함 탐지/수정 프레임워크. 기능 에러(crash, 500)가 아닌 '논리적으로 비정상인 동작'을 찾아 자동 수정한다. 사용 시점: (1) URL을 주고 웹사이트 논리 테스트 요청, (2) 소스코드 프로젝트의 UI/API 논리 검증 요청, (3) '시나리오 테스트', 'SDD 돌려줘', '논리 결함 찾아줘' 등의 요청. 플랫폼 무관(웹/모바일/API).
As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
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: 4. 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 56/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 4 mutating operations with no state check
- 50Failures and branches. 0 branches, has a failure section
- 100Tools and files. No external tools needed
- 100Steps. 71 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1056 tokens
- low 11 top-level sections: this looks like several domains in one skill
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
- -41 reference files, but SKILL.md never points to them: the model will not open them
- +2Single-language instructions
- +3Description length 241: enough signal without eating the budget
- +4Structure: 22 headings
- +3Step-by-step instructions: 71 items
- +4Has examples (6 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.
External checks
ClawHub: suspicious
This is a legitimate testing skill, but it can broadly crawl authenticated apps, handle session credentials, write reports, and automatically change or commit code without enough user-control boundaries.
LLM: suspicious (high) · VirusTotal: · 29 May 2026