AC doc-merge-check
通用文档合并与检查工具。将多个Word文档按指定顺序合并，统一格式（字体/字号/行距），并检查每个文档是否包含所需的板块。适用于作业收集、报告整合等场景。使用场景：(1) 合并多个学生的作业文档；(2) 检查文档是否包含指定板块；(3) 统一文档格式后整合；(4) 生成缺失报告。
通用文档合并与检查工具。将多个Word文档按指定顺序合并，统一格式（字体/字号/行距），并检查每个文档是否包含所需的板块。适用于作业收集、报告整合等场景。使用场景：(1) 合并多个学生的作业文档；(2) 检查文档是否包含指定板块；(3) 统一文档格式后整合；(4) 生成缺失报告。
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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
✓ No remarks against the Agent Skills spec
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. 14 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 689 tokens
- 100Running it twice. No mutating operations
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 140: enough signal without eating the budget
- +4Structure: 13 headings
- +3Step-by-step instructions: 14 items
- +4Has examples (5 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.