AC golden-hour
用户想了解一天中什么时间最适合拍照、问"什么时候拍照光线最好"、或规划户外 拍摄时间时调用。不适用于光线方向选择（应调用 natural-light-direction）或 室内布光（应调用 three-point-lighting）。 Invoke when the user wants to know the best time of day for photography, asks "when is the best light," or is planning outdoor shoot timing. Not for light direction choices (use natural-light-direction) or indoor lighting setup (use three-point-lighting). 关键 trigger / Key triggers: "黄金时段"、"什么时间拍照"、"golden hour"、"best time to photograph"、"blue hour"、"photography time of day"、 "when to shoot outdoors"、"best light time"。
用户想了解一天中什么时间最适合拍照、问"什么时候拍照光线最好"、或规划户外 拍摄时间时调用。不适用于光线方向选择（应调用 natural-light-direction）或 室内布光（应调用 three-point-lighting）。 Invoke when the user wants to know the…
As a process C 63/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches
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: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "source_book" - note
frontmatter-keyunknown frontmatter key "source_chapter" - note
frontmatter-keyunknown frontmatter key "related_skills"
Process rating: all ten parameters 63/100
- 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
- 100Tools and files. No external tools needed
- 100Steps. 49 steps
- 100When it triggers. States when to use and when not to
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 561 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
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +5Description quotes 8 example trigger phrases
- +4Description says when NOT to use the skill
- +3Description length 540: enough signal without eating the budget
- +4Structure: 17 headings
- +3Step-by-step instructions: 49 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.