SKILLEMALL.ai

BC clawlite-office-hours

中文:YC Office Hours 风格的产品前置咨询,在写代码前重构问题定义。通过 Startup / Builder 模式给出问题真相、最小切入、指标与风险洞察,避免盲目开发。 日本語:YC Office Hours形式の事前思考支援。コーディング前に問題定義を再構築し、Startup/Builderモードでユーザー・最小実行単位・観察可能性を整理。 한국어:코딩 전에 문제 정의를 재구성하는 Office Hours 스타일 컨설턴트. Startup/Builder 모드로 사용자 진실, 최소 실행 포인트, 지표와 위험 통찰을 도출해 판단 품질을 높입니다. Español:Replantea el problema antes de codificar con estilo Office Hours (Startup/Builder). Extrae verdad del problema, usuario objetivo, punto de entrada mínimo y señales para reducir producto sin validación.

ClawHub Agent Skills author: X-RayLuan v1.0.0 MIT-0 2 files body ≈ 958 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 55/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
C
55/100
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 55/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 100Tools and files. No external tools needed
  • 100Steps. 28 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 958 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress

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
  • +1No license
  • +2Single-language instructions
  • +3Description length 502: enough signal without eating the budget
  • +4Structure: 24 headings
  • +3Step-by-step instructions: 28 items
  • +4Has examples (3 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: clean
This skill is a product-planning assistant that reads project context and may create a design document, with no executable code or hidden high-risk behavior found.
LLM: benign (high) · VirusTotal: · 29 May 2026