AC film-exposure-asymmetry
用户在使用胶片拍摄、问"负片和反转片曝光有什么区别"、或面对高反差场景 需要决定曝光策略时调用。纯数码摄影用户不适用（数码传感器宽容度特性不同）。 Invoke when the user is shooting film, asks about the difference between negative and reversal film exposure, or needs to decide exposure strategy for high-contrast film scenes. Not applicable to pure digital photography (sensor latitude differs). 关键 trigger / Key triggers: "负片曝光"、"反转片曝光"、"slide film exposure"、 "negative film latitude"、"宁过勿欠"、"宁欠勿过"、 "high contrast film exposure"、"film exposure strategy"、 "overexpose or underexpose film"。
用户在使用胶片拍摄、问"负片和反转片曝光有什么区别"、或面对高反差场景 需要决定曝光策略时调用。纯数码摄影用户不适用（数码传感器宽容度特性不同）。 Invoke when the user is shooting film, asks about the difference between negative…
As a process C 59/100 · 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 59/100
- 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
- 70When it triggers. States when to use, but not when not to
- 100Tools and files. No external tools needed
- 100Steps. 49 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 595 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +5Description quotes 6 example trigger phrases
- +3Description length 516: 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: 82.