BC renovation-143m
143㎡专属装修助手 — 基于固定户型（三室两厅两卫一厨一阳台改善型住宅）的长期装修决策助手。 覆盖验房、风格研究、空间设计、收纳规划、水电灯光、家电材料、预算规划、避坑、AI生图模拟全流程。 所有分析绑定本户型真实空间结构、朝向和尺寸估算，不提供泛通用建议。 触发词：143装修, 专属装修助手, 装修规划, 验房, 装修风格, 收纳设计, 水电规划, 灯光规划, 家电规划, 材料选择, 预算规划, 装修避坑, AI效果图, 装修案例, 装修预算, 装修材料. NOT for: 通用装修建议, 其他户型分析, 施工图绘制, CAD深化, 实际施工指导, 结构计算.
143㎡专属装修助手 — 基于固定户型（三室两厅两卫一厨一阳台改善型住宅）的长期装修决策助手。 覆盖验房、风格研究、空间设计、收纳规划、水电灯光、家电材料、预算规划、避坑、AI生图模拟全流程。 所有分析绑定本户型真实空间结构、朝向和尺寸估算，不提供泛通用建议。 触发词：143装修, 专属装修助手, 装修规划…
As a process C 50/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches
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: 0. 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 50/100
- 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
- 50When it triggers. No condition that starts the skill
- 60Tools and files. Uses tools (web, python) that frontmatter does not declare
- 100Steps. 263 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2260 tokens
- 100Running it twice. No mutating operations
- low 17 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
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +3Description length 285: enough signal without eating the budget
- +4Structure: 55 headings
- +3Step-by-step instructions: 263 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.