AC composition-eight-questions
用户在拍摄前想系统性地检查构图方案、问"怎么让照片更有冲击力"、或觉得照片 平淡想改进时调用。不适用于照片评价（应调用 photo-three-principles）或 光线选择问题（应调用 natural-light-direction）。 Invoke when the user wants to systematically check composition before shooting, asks "how to make a photo more impactful," or feels their photos are flat and wants to improve. Not for photo evaluation (use photo-three-principles) or lighting direction choices (use natural-light-direction). 关键 trigger / Key triggers: "怎么构图"、"突出重点"、"composition"、"how to make photo stand out"、"visual emphasis"、"rule of thirds"、 "leading lines"、"framing"、"how to compose a photo"、 "make subject stand out"。
用户在拍摄前想系统性地检查构图方案、问"怎么让照片更有冲击力"、或觉得照片 平淡想改进时调用。不适用于照片评价（应调用 photo-three-principles）或 光线选择问题（应调用 natural-light-direction）。 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. 53 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 629 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 611: enough signal without eating the budget
- +4Structure: 17 headings
- +3Step-by-step instructions: 53 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.