SKILLEMALL.ai

CF linkpix

调用青虎 AI 媒体能力:AI 生图(套图/电商详情图/自定义生图家族实时清单:智慧模型、图片 5.0 Lite、专图模型、图片 5.0 Pro 等 + 提示词润色)、批量生图玩法(批量生图/批量改图/批量替换/主图复刻/姿势套图/批量译图)、AI 生视频(模型清单实时读取线上目录,含 Seedance2.5、Seedance2.0、阿里wanx3.0、MiniMax H3、全能电商2.0、Happy Horse、可灵3.0 Omni、品牌质感大片等多模型多时长 5–30 秒,支持多参考视频与参考音频)、一键成片、角色替换/模特换脸、视频翻译、去水印/去字幕/画质提升、复刻爆款视频出脚本、爆款视频转图文、分镜脚本与分镜图、广告素材模板批量出片(视频/图片)、POD 印花素材(印花提取/贴合/裂变 + 产品图库)、青虎工作台「AI 应用」的 AI 工作流(电影质感 TVC 广告大片、爆款视频模仿与仿拍、模特换装高一致性还原、超清修复与去 AI 感、图像去水印、短视频与达人数据引擎),均含任务状态查询。当用户要求生成/制作商品图、主图、详情图、营销图、广告视频、带货视频、口播视频,或要求批量出图、批量改图、把产品换进参考图、复刻别人的主图风格、生成服装模特多姿势套图、翻译图片上的文字,或要求翻译视频、去水印、去字幕、提升画质、换人物/换脸、复刻某条爆款视频、把视频转成图文笔记、写分镜脚本,或要求做电影质感 TVC 广告大片/品牌广告片、仿拍某条爆款视频、给模特换装、把图片超清修复/去 AI 感、跑短视频或达人数据引擎分析时必须触发。支持关键词:LinkPix、linkpix、qhkit、青虎、爆款素材、电商素材、量产素材、生图、AI绘图、商品图、主图、套图、详情图、批量生图、批量改图、批量替换、主图复刻、套图复刻、姿势套图、服装套图、批量译图、图片翻译、译图、白底图、提示词润色、广告素材、投放素材、POD素材、POD、印花、印花提取、印花贴合、印花裂变、生视频、AI视频、带货视频、广告片、一键成片、成片、换脸、换模特、数字人替换、视频翻译、翻译配音、去水印、去字幕、画质提升、超分、复刻爆款、对标视频、视频转图文、图文笔记、分镜、脚本、storyboard、AI应用、AI工作流、工作流、workflow、TVC、TVC广告、广告大片、品牌广告片、电影质感、爆款视频模仿、仿拍、模特换装、换装、超清修复、去AI感、图像去水印、数据引擎、短视频数据、达人数据。

ClawHub Agent Skills author: AutoAGC v0.1.14 MIT-0 2 files body ≈ 5 607 tokens Open the sourceclawhub.ai analyzed 35 h ago

调用青虎 AI 媒体能力:AI 生图(套图/电商详情图/自定义生图家族实时清单:智慧模型、图片 5.0 Lite、专图模型、图片 5.0 Pro 等 + 提示词润色)、批量生图玩法(批量生图/批量改图/批量替换/主图复刻/姿势套图/批量译图)、AI 生视频(模型清单实时读取线上目录,含…

As a process F 31/100 · Will not run — References files that are not bundled: url

ProcedureMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
C
71/100
safety, quality, tests
Safety 60%
100
Quality 40%
27
Run on models
none yet
Process rating
F
31/100
Will not run
References files that are not bundled: url
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. Shorten the description to 1024 characters.
  3. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  4. The text references files that are not there: add them or drop the references.
For the model run — optional
  • 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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error description-long description is 1042 chars, limit 1024
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning body-long SKILL.md body ≈ 5607 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: url
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: url
  • 0Tools and files. 1 referenced file(s) missing: url
  • 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
  • 30Running it twice. 4 mutating operations with no state check
  • 70Execution cost. Instruction body is 5607 tokens
  • 100Steps. 60 steps
  • 100Consistency. Name and required fields are in place

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)
  • +3Description length 1042: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 60 items
  • +4Has examples (17 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 27.

External checks

ClawHub: suspicious
The skill is a coherent media-generation integration, but it asks agents to install unpinned tools globally, collect an API key in chat, and upload local media in some estimate flows without a separate consent step.
LLM: suspicious (high) · 8 Sept 2026