BC skill-refactor
技能改造方法。核心能力：评估技能是否需要存在（领域消除评估）→ 如果需要存在则重构技能内容（工作流重构）。十一步法：边界识别→存在理由分析→消除可行性评估→独立存在必要性判断→决策输出→组成部分识别→组成部分存在理由分析→补偿层消除→重整→重构验证→改造形态选择。覆盖从技能领域评估、存在必要性判断、技能内容重构到改造验证的全流程。通用方法，不绑定任何特定技能。触发词：技能改造、技能重构、技能优化、skill refactor、技能整理、技能清理、技能评估。
技能改造方法。核心能力：评估技能是否需要存在（领域消除评估）→…
As a process C 53/100 · 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: 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")
Process rating: all ten parameters 53/100
- 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
- 100Tools and files. No external tools needed
- 100Steps. 89 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3042 tokens
- 100Running it twice. No mutating operations
- low 12 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
- -235 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 230: enough signal without eating the budget
- +4Structure: 26 headings
- +3Step-by-step instructions: 89 items
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.