BD km-desttine
KTV包厢预订技能。帮助用户完成 KTV 包厢从选择门店到完成支付的完整预订流程， 通过聚合接口一次性返回可预订的包厢时段与价格，简化调用链， 并集成用户登录与订单支付子流程。 当以下任一情况出现时必须调用本技能： 1. 用户表达预订/订包厢/KTV/订位等意图（如"我想订个KTV"、"明天晚上有包厢吗"、"预订一个唱歌的地方"、"我想唱歌"、"订个包间"） 2. 用户询问 KTV 门店、包厢、时段、价格等相关信息 3. 用户已有订单号，要求支付、查询支付状态或重新支付 4. 用户要求登录 K米 平台或检查登录状态 5. 用户提到需要唱K、唱歌、聚会、团建等场景 关键词：KTV、歌唱、唱歌、预订、订包厢、订位、订房、包厢、包间、唱K、欢聚、聚会、团建、支付、支付二维码、支付链接、登录、认证、包厢、时段
KTV包厢预订技能。帮助用户完成 KTV 包厢从选择门店到完成支付的完整预订流程， 通过聚合接口一次性返回可预订的包厢时段与价格，简化调用链， 并集成用户登录与订单支付子流程。 当以下任一情况出现时必须调用本技能： 1.
As a process D 37/100 · 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.
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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: 14. 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
body-longSKILL.md body ≈ 5526 tokens (recommended < 5000); move details to references/
Process rating: all ten parameters 37/100
- 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. 10 mutating operations with no state check
- 40Consistency. Frontmatter name (km-desttine) differs from the folder (ktvme-destine)
- 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
- 70Execution cost. Instruction body is 5526 tokens
- 100Steps. 61 steps
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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- -234 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +5Description quotes 3 example trigger phrases
- +3Description length 357: enough signal without eating the budget
- +4Structure: 32 headings
- +3Step-by-step instructions: 61 items
- +4Has examples (10 code blocks)
- +4Reference files are cited in the instructions (9 of 10)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.