AC natural-light-direction
用户想了解光线方向对照片效果的影响、问"什么光线适合拍人像"、或面对自然光 场景不知如何选择拍摄角度时调用。不适用于人造光布光（应调用 three-point-lighting） 或曝光参数设置（应调用 exposure-dual-control）。 Invoke when the user wants to understand how light direction affects photos, asks "what light is best for portraits," or doesn't know which angle to shoot from in natural light. Not for artificial light setup (use three-point-lighting) or exposure parameter settings (use exposure-dual-control). 关键 trigger / Key triggers: "光线方向"、"顺光逆光"、"侧光"、"natural light direction"、 "best light for portrait"、"golden hour"、"backlight"、"side light"、 "front light vs back light"、"what direction should light come from"。
用户想了解光线方向对照片效果的影响、问"什么光线适合拍人像"、或面对自然光 场景不知如何选择拍摄角度时调用。不适用于人造光布光（应调用 three-point-lighting） 或曝光参数设置（应调用 exposure-dual-control）。 Invoke when the user wants to…
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. 54 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 610 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 9 example trigger phrases
- +4Description says when NOT to use the skill
- +3Description length 629: enough signal without eating the budget
- +4Structure: 17 headings
- +3Step-by-step instructions: 54 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.