AD auto-create-skill
从会话中识别固定工作流并自动生成可复用的 Skill。用户下次只需提供关键参数即可 重复执行相同流程。同时支持对已创建的 Skill 进行增量更新（添加步骤、修改流程、 删除步骤、调整顺序等）。 当用户提到以下任意情况时，立即使用本 Skill： - "把这个流程保存为 skill" / "把这个工作流抽取出来" - "创建一个自动化流程" / "我想把这个固定下来" - "帮我生成一个 skill 来做 XXX" - "更新/修改/编辑 XXX skill" （其中 XXX 是由本 skill 创建的） - "给 XXX 流程加一个步骤" / "删掉 XXX 流程里的某步" - "列出我创建的所有 skill" / "查看 skill 列表" - 用户描述了一个重复性工作流并暗示想自动化 - 用户在会话中反复执行类似操作并表示想固化流程
As a process D 43/100 · 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.
- 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: 4. 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 43/100
- 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. 8 mutating operations with no state check
- 60Tools and files. Uses tools (bash, git, python) that frontmatter does not declare
- 100Steps. 84 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1974 tokens
- low The response is described with custom markup (9 tags): a typed call is more reliable
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
- +1No license
- +2Single-language instructions
- +5Description quotes 10 example trigger phrases
- +3Description length 374: enough signal without eating the budget
- +4Structure: 28 headings
- +3Step-by-step instructions: 84 items
- +4Has examples (14 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.