SKILLEMALL.ai

BC qa-domain-modeling

通过构建状态机、数据流图和服务依赖图来理清复杂的业务逻辑和系统边界。当需求文档复杂、涉及多个子系统交互、或者你搞不清楚数据在不同模块之间怎么流转的时候,应当使用此技能。领域建模不是为了画图而画图——它帮你发现那些"需求文档里没写的"隐式业务规则和系统边界。适用于复杂业务流程的测试范围可视化。 触发场景:画状态图、数据流、服务依赖、建模、领域建模、状态转换、数据流向、服务调用关系、需求文档复杂难以理解时。 Use when the user asks about: state machine, data flow, and service dependency modeling to expose implicit business rules and system boundaries.

ClawHub Agent Skills author: kokxi v1.8.0 MIT-0 3 files body ≈ 405 tokens Open the sourceclawhub.ai↗ analyzed 11 d ago

通过构建状态机、数据流图和服务依赖图来理清复杂的业务逻辑和系统边界。当需求文档复杂、涉及多个子系统交互、或者你搞不清楚数据在不同模块之间怎么流转的时候,应当使用此技能。领域建模不是为了画图而画图——它帮你发现那些"需求文档里没写的"隐式业务规则和系统边界。适用于复杂业务流程的测试范围可视化。…

As a process C 59/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

Proceduretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
85
Run on models
none yet
Process rating
C
59/100
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

    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: 3. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 59/100

    • 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
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. Tools declared in frontmatter
    • 100Steps. 11 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 405 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)
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +2Single-language instructions
    • +3Description length 348: enough signal without eating the budget
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 11 items
    • +4Reference files are cited in the instructions (1 of 1)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

    External checks

    ClawHub: clean
    This is a documentation-only domain-modeling skill that asks the agent to read local requirement context and produce state, data-flow, and service-dependency models.
    LLM: benign (high) · VirusTotal: · 29 Sept 2026