AC universal-theme
用户想提升照片的艺术深度、问"怎么让照片更有意义"、或追求从"好看"到 "杰作"的突破时调用。不适用于基础构图评价（应调用 photo-three-principles） 或技术操作问题。 Invoke when the user wants to deepen the artistic meaning of their photos, asks "how to make photos more meaningful," or seeks to elevate from "pretty" to "masterpiece." Not for basic composition evaluation (use photo-three-principles) or technical operation questions. 关键 trigger / Key triggers: "普遍性主题"、"照片的意义"、"universal theme"、 "how to make photo meaningful"、"storytelling photography"、 "deeper photography"、"what makes a photo a masterpiece"、 "photo with deeper meaning"。
用户想提升照片的艺术深度、问"怎么让照片更有意义"、或追求从"好看"到 "杰作"的突破时调用。不适用于基础构图评价（应调用 photo-three-principles） 或技术操作问题。 Invoke when the user wants to deepen the artistic meaning of…
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 578 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 10 example trigger phrases
- +4Description says when NOT to use the skill
- +3Description length 571: 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.