BF meeting-deep-process
会议深度加工与质量增强引擎——平台无关的会议数据5域27任务技能。加工层（D01-D04）：个体12维角色剖面分析、个体间群体动力关系分析、会议整体执行分析与知识沉淀。增强层（D05）：会前亮点设计→会中深度干预→会后质量诊断（评分→根因→改进）→跨会议模式优化，形成"加工→诊断→改进→再加工"质量闭环。适配协作/决策/创意/谈判/调解/评估/信息/仪式8种会议场景。触发词：会议分析、会议加工、会议深度加工、录制分析、转写分析、深度加工、会议纪要、会议改进、会议质量、meeting deep process、meta-skill-system
会议深度加工与质量增强引擎——平台无关的会议数据5域27任务技能。加工层（D01-D04）：个体12维角色剖面分析、个体间群体动力关系分析、会议整体执行分析与知识沉淀。增强层（D05）：会前亮点设计→会中深度干预→会后质量诊断（评分→根因→改进）→跨会议模式优化，形成"加工→诊断→改进→再加工"质量闭环。适配协作/决…
As a process F 35/100 · Will not run — References files that are not bundled: assets/meeting-deep-process-logo.svg
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: 33. 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: assets/meeting-deep-process-logo.svg
Process rating: all ten parameters 35/100
- 0Tools and files. 1 referenced file(s) missing: assets/meeting-deep-process-logo.svg
- 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
- 100Steps. 23 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1971 tokens
- 100Running it twice. No mutating operations
- low 14 top-level sections: this looks like several domains in one skill
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 274: enough signal without eating the budget
- +4Structure: 30 headings
- +3Step-by-step instructions: 23 items
- +4Has examples (3 code blocks)
- +4Reference files are cited in the instructions (4 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.