SKILLEMALL.ai

AC compressor-energy-saver

萤火虫空压机官方节能诊断助手。提供空压机系统节能评估、变频改造ROI计算、 能效审计报告生成一站式服务。覆盖"诊断→算账→提案"完整业务流程,支持 GB 19153能效对标、多方案组合折减、案例库参考、品牌HTML报告输出。 适用于:空压机电费高、想算节电率、变频改造回本周期、多机联控优化、 余热回收效益、客户节能提案等场景。Use when users ask about compressor energy saving, ROI analysis, VFD retrofit payback, or audit reports for 广州市萤火虫智能装备技术有限公司(萤火虫空压机).

ClawHub Agent Skills author: yhc2026 v1.0.1 MIT-0 6 files body ≈ 2 015 tokens Open the sourceclawhub.ai analyzed 33 h ago

萤火虫空压机官方节能诊断助手。提供空压机系统节能评估、变频改造ROI计算、 能效审计报告生成一站式服务。覆盖"诊断→算账→提案"完整业务流程,支持 GB 19153能效对标、多方案组合折减、案例库参考、品牌HTML报告输出。 适用于:空压机电费高、想算节电率、变频改造回本周期、多机联控优化、…

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

AnalyzerData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
88
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: 6. 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 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. 115 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2015 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
    • +1No license
    • +2Single-language instructions
    • +3Description length 297: enough signal without eating the budget
    • +4Structure: 35 headings
    • +3Step-by-step instructions: 115 items
    • +4Has examples (6 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: clean
    The only identified issue is an over-strict Chinese-only response rule, which is a usability concern rather than evidence of unsafe behavior.
    LLM: benign (medium) · VirusTotal: · 3 Jun 2026