AC jlcfa-aluminum-modeling
Build and review JLCFA/JiaLiChuang FA aluminum alloy enclosure modeling attributes. Use when users mention 嘉立创, JLCFA, 铝合金外壳, 外壳设计器, 开孔, 螺孔, 沉头孔, 喷砂氧化, UV打印, 激光打标, 盖板加工, 壳身加工, or need AI/CAD attributes for manufacturable aluminum enclosure modeling.
Build and review JLCFA/JiaLiChuang FA aluminum alloy enclosure modeling attributes.
As a process C 62/100 · Has gaps — weak spots: when it triggers, inputs and preconditions
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: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 62/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 20When it triggers. No condition that starts the skill
- 55Failures and branches. 1 branches
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 100Steps. 7 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1137 tokens
- 100Running it twice. No mutating operations
- 100Progress reporting. Reports progress
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
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +2Single-language instructions
- +3Description length 249: enough signal without eating the budget
- +4Structure: 6 headings
- +3Step-by-step instructions: 7 items
- +3Output format is stated explicitly
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.