BD aerial-work-platform
高空作业平台(MEWP/高空作业车/升降平台)专业工作流技能——覆盖选型、工程计算(稳定性/风载/电机/液压/油缸)、产品信息收集、招投标信息检索与标书编制。当用户涉及高空作业平台、高空作业车、升降平台、剪叉式、曲臂车、直臂车、桅柱式、车载式、蜘蛛车、履带式高空作业平台、MEWP，或相关品牌(JLG、Genie、Haulotte、Skyjack、Niftylift、Teupen、Ruthmann、浙江鼎力、星邦智能、徐工、中联重科、临工重机、柳工等)、设计计算、标准(EN 280、GB/T 25849、GB/T 9465、ANSI A92)、租赁、维保、招投标时使用本技能。
高空作业平台(MEWP/高空作业车/升降平台)专业工作流技能——覆盖选型、工程计算(稳定性/风载/电机/液压/油缸)、产品信息收集、招投标信息检索与标书编制。当用户涉及高空作业平台、高空作业车、升降平台、剪叉式、曲臂车、直臂车、桅柱式、车载式、蜘蛛车、履带式高空作业平台、MEWP，或相关品牌(JLG、Genie、Ha…
As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 8. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown frontmatter key "agent_created"
Process rating: all ten parameters 49/100
- 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
- 40Consistency. Frontmatter name (aerial-work-platform) differs from the folder (aerialwork)
- 100Tools and files. No external tools needed
- 100Steps. 27 steps
- 100Execution cost. Instruction body is 990 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 290: enough signal without eating the budget
- +4Structure: 10 headings
- +3Step-by-step instructions: 27 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (4 of 4)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.