AD huo15-vibe-web-replica
复刻与创作视觉沉浸式网站:3D 渲染、滚动驱动动画、平滑滚动、沉浸式特效。 技术栈 Three.js + WebGL2、GSAP 3.12 + ScrollTrigger、Lenis 平滑滚动、 Draco 压缩 GLB、Web Audio、KTX2 纹理压缩、TagCloud。当用户说"复刻网站" "vibe coding""氛围编程""做个 3D 滚动页面""Three.js""GSAP""ScrollTrigger" "Lenis""WebGL"或提供 URL/截图要求还原网站时使用。脚本 scripts/scaffold.sh 一键创建 Vite + Three.js + GSAP + Lenis 项目。
复刻与创作视觉沉浸式网站:3D 渲染、滚动驱动动画、平滑滚动、沉浸式特效。 技术栈 Three.js + WebGL2、GSAP 3.12 + ScrollTrigger、Lenis 平滑滚动、 Draco 压缩 GLB、Web Audio、KTX2 纹理压缩、TagCloud。当用户说"复刻网站" "vibe…
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: 10. 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") - note
frontmatter-keyunknown frontmatter key "displayName" - note
frontmatter-keyunknown frontmatter key "homepage" - note
frontmatter-keyunknown frontmatter key "aliases"
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 (node) that frontmatter does not declare
- 100Steps. 45 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 673 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
- +1No license
- +2Single-language instructions
- +5Description quotes 4 example trigger phrases
- +3Description length 310: enough signal without eating the budget
- +4Structure: 14 headings
- +3Step-by-step instructions: 45 items
- +4Has examples (2 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.