SKILLEMALL.ai

AC qa-test-leadership

当需要管理测试团队、制定团队目标和绩效标准、或者团队扩招需要面试标准时使用此技能。覆盖测试团队管理(目标设定/KPI 制定/人员成长)、绩效评估(能力模型/360 评估)、招聘面试(面试流程/技术评估标准)和组织建设。不要只管进度不管成长——一个稳定的测试团队靠的是每个人都在不断学习和进步。 触发场景:团队管理、绩效评估、招聘、面试、团队建设、能力模型、目标、团队扩招需要面试标准时。 Use when the user asks about: QA team leadership — goal setting, KPI definition, performance review, hiring interviews, and capability models.

ClawHub Agent Skills author: kokxi v1.8.0 MIT-0 3 files body ≈ 649 tokens Open the sourceclawhub.ai↗ analyzed 15 d ago

当需要管理测试团队、制定团队目标和绩效标准、或者团队扩招需要面试标准时使用此技能。覆盖测试团队管理(目标设定/KPI 制定/人员成长)、绩效评估(能力模型/360 评估)、招聘面试(面试流程/技术评估标准)和组织建设。不要只管进度不管成长——一个稳定的测试团队靠的是每个人都在不断学习和进步。…

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

AnalyzerData and analyticsPeople and hiringtype 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. 11 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 649 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 336: enough signal without eating the budget
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 11 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: suspicious
    The skill is mostly QA leadership guidance, but it recommends an unpinned external install that could change a user's installed skill set.
    LLM: suspicious (medium) · VirusTotal: · 29 Sept 2026