BF tpm-equipment-management
设备管理领域 TPM（全员生产维护）的辅助技能，聚焦具体可执行模块——六大损失分析、自主保全七步推进、计划保全（维保计划）、OPL一点课、设备点检基准书、八大支柱轻量引导。混合式范式：用户带具体任务/数据→生成纯MD产物；企业专属信息走轻交互+「待企业补充」。OEE整体测算为独立技能，本技能不含。
设备管理领域 TPM（全员生产维护）的辅助技能，聚焦具体可执行模块——六大损失分析、自主保全七步推进、计划保全（维保计划）、OPL一点课、设备点检基准书、八大支柱轻量引导。混合式范式：用户带具体任务/数据→生成纯MD产物；企业专属信息走轻交互+「待企业补充」。OEE整体测算为独立技能，本技能不含。
As a process F 31/100 · Will not run — References files that are not bundled: references/tpm-overview.md, scripts/build_report.py
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
- 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: 2. 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") - warning
missing-refreference to a missing file: references/tpm-overview.md - warning
missing-refreference to a missing file: scripts/build_report.py - note
frontmatter-keyunknown frontmatter key "displayName" - note
frontmatter-keyunknown frontmatter key "slug"
Process rating: all ten parameters 31/100
- 0Tools and files. 2 referenced file(s) missing: references/tpm-overview.md, scripts/build_report.py
- 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 (tpm-equipment-management) differs from the folder (skill-tpm-equipment-management)
- 100Steps. 27 steps
- 100Execution cost. Instruction body is 633 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
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 149: enough signal without eating the budget
- +4Structure: 10 headings
- +3Step-by-step instructions: 27 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 57.