SKILLEMALL.ai

AC mu-q12-survey

基于盖洛普Q12敬业度调研工具,帮助团队经理、HRBP、组织发展专员设计员工敬业度调研问卷、解读调研结果、制定90天改进计划。触发词:敬业度问卷、Q12调研、员工满意度调查、团队氛围调研、敬业度评分、留人问题、团队状态诊断、怎么提升团队敬业度、eNPS、盖洛普、员工离职。适用角色:团队经理、HR BP、组织发展专员。不适用:普通员工(非管理者)使用、大规模统计建模、已有专业调研系统的场景。

ClawHub Agent Skills author: 木先生iPPT v1.0.1 MIT-0 9 files body ≈ 1 996 tokens Open the sourceclawhub.ai analyzed 3 d ago

基于盖洛普Q12敬业度调研工具,帮助团队经理、HRBP、组织发展专员设计员工敬业度调研问卷、解读调研结果、制定90天改进计划。触发词:敬业度问卷、Q12调研、员工满意度调查、团队氛围调研、敬业度评分、留人问题、团队状态诊断、怎么提升团队敬业度、eNPS、盖洛普、员工离职。适用角色:团队经理、HR…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedurePeople and hiringtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
C
53/100
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: 9. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "visibility"

    Process rating: all ten parameters 53/100

    • 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
    • 20When it triggers. No condition that starts the skill
    • 100Tools and files. No external tools needed
    • 100Steps. 117 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1996 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 196: enough signal without eating the budget
    • +4Structure: 32 headings
    • +3Step-by-step instructions: 117 items
    • +4Has examples (1 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: clean
    This is a prompt-only Q12 employee engagement survey helper, with some privacy wording users should read carefully around the docs and landing page.
    LLM: benign (high) · VirusTotal: · 3 Sept 2026