BC cs-conversation-qc
客服会话质检技能。批量分析客服聊天记录/会话导出文件（支持企业微信、千牛、美洽、Udesk、智齿等系统的逐条式与整段式导出），按可配置的质检规则逐条评分，自动脱敏，生成带扣分明细和待人工复核清单的质检报告表格。适用场景：客服质检、会话质检、聊天记录检查、客服考核、服务质量检查、服务质量评估、抽检客服记录，以及用户提供客服会话/聊天记录并希望评估坐席服务质量的任务（此类任务即使未出现"质检"字样也属于本技能的适用范围）。本规则包面向中文会话设计。
客服会话质检技能。批量分析客服聊天记录/会话导出文件（支持企业微信、千牛、美洽、Udesk、智齿等系统的逐条式与整段式导出），按可配置的质检规则逐条评分，自动脱敏，生成带扣分明细和待人工复核清单的质检报告表格。适用场景：客服质检、会话质检、聊天记录检查、客服考核、服务质量检查、服务质量评估、抽检客服记录，以及用户提供…
As a process C 51/100 · Has gaps — 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: 7. 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")
Process rating: all ten parameters 51/100
- 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
- 30Running it twice. 1 mutating operations with no state check
- 100Tools and files. No external tools needed
- 100Steps. 33 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 886 tokens
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 224: enough signal without eating the budget
- +4Structure: 11 headings
- +3Step-by-step instructions: 33 items
- +4Reference files are cited in the instructions (2 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.