SKILLEMALL.ai

AC qa-heuristic-checklist

提供登录、支付、搜索、购物车、导入导出、审批、消息通知、权限管理等不同类型功能的测试要点模板。当面对一个新功能类型不知道从哪里开始测试、或者担心遗漏了某个功能类型的特有测试点时,应当使用此技能。特别适合测试新人——照着清单逐项检查就不会漏掉该功能类型的典型问题。例如支付类要测金额精度和幂等性,导入导出类要测格式兼容和性能,每个功能类型都有其特有的高风险区域。 触发场景:这个功能怎么测、有什么测试要点、checklist、测试模板、表单测试、支付测试要点、导入怎么测、测试新人需要指引时。 Use when the user asks about: heuristic checklists and testing points by feature type — login, payment, search, cart, import/export, approval, notification, and permissions.

ClawHub Agent Skills author: kokxi v1.8.0 MIT-0 3 files body ≈ 575 tokens Open the sourceclawhub.ai↗ analyzed 15 d ago

提供登录、支付、搜索、购物车、导入导出、审批、消息通知、权限管理等不同类型功能的测试要点模板。当面对一个新功能类型不知道从哪里开始测试、或者担心遗漏了某个功能类型的特有测试点时,应当使用此技能。特别适合测试新人——照着清单逐项检查就不会漏掉该功能类型的典型问题。例如支付类要测金额精度和幂等性,导入导出类要测格式兼容和…

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

TemplateOperations and projectstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
89
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. 14 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 575 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
    • +2Single-language instructions
    • +3Description length 419: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 14 items
    • +4Has examples (5 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.

    External checks

    ClawHub: clean
    This is a documentation-only QA checklist skill with narrow read-only tool access and no evidence of hidden execution, data export, persistence, or destructive behavior.
    LLM: benign (high) · VirusTotal: · 29 Sept 2026