AD pindou-pattern
生成拼豆图纸（perler bead pattern，简易版）。把任意图片或像素数据量化为真实拼豆色号的拼豆施工图——输出可缩放/可打印的 SVG 图纸（格内色号、行列坐标、每 10 格加重线、配色清单）+ HTML 预览 + CSV 物料清单 + JSON 网格。内置 205 色 × 5 品牌（MARD/COCO/漫漫/盼盼/咪小窝）色号对照，纯标准库、零外部依赖。当用户提到拼豆、拼豆图纸、色号、把图片转成 N×N 拼豆、像素画导出、串珠/珠子图案、perler bead pattern、bead pattern 时使用。
生成拼豆图纸（perler bead pattern，简易版）。把任意图片或像素数据量化为真实拼豆色号的拼豆施工图——输出可缩放/可打印的 SVG 图纸（格内色号、行列坐标、每 10 格加重线、配色清单）+ HTML 预览 + CSV 物料清单 + JSON 网格。内置 205 色 × 5…
As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 6. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 46/100
- 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
- 20When it triggers. No condition that starts the skill
- 60Tools and files. Uses tools (python, node) that frontmatter does not declare
- 100Steps. 11 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 674 tokens
- 100Running it twice. No mutating operations
- low The response is described with custom markup (3 tags): a typed call is more reliable
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)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 265: enough signal without eating the budget
- +4Structure: 8 headings
- +3Step-by-step instructions: 11 items
- +4Has examples (3 code blocks)
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.