SKILLEMALL.ai

AD mp3-list-to-video

将指定文件夹下的所有 MP3 文件拼接成一个 MP4 视频文件,可生成黑色背景视频,也可基于已合并 MP4 生成带歌曲清单、当前歌曲高亮和右侧旋转黑胶唱片动效的菜单背景视频。菜单高亮默认使用智能分段渲染:并行生成关键帧、每首歌开头高帧密度、其余静态区间单帧拉长,避免整段 30fps 慢速重渲染;黑胶唱片作为独立动态层持续旋转,让整体画面不再完全静态。适用于:播放列表合并、批量歌曲拼接、MP3转视频、播放列表转视频、歌曲菜单高亮、黑胶唱片动效、音乐合集视频、分段视频渲染、并行生成菜单视频。当用户提到"拼接歌曲"、"合并MP3"、"播放列表转视频"、"歌曲列表背景"、"当前歌曲高亮"、"黑胶唱片"、"唱片转圈"、"画面太静态"、"生成太慢"、"多线程生成视频"、"batch mp3 to video"、"merge audio files into video"时使用此 skill。

ClawHub Agent Skills author: 桔子桑 v1.0.0 MIT-0 4 files body ≈ 2 707 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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.
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: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description 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) that frontmatter does not declare
  • 100Steps. 123 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2707 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 6 example trigger phrases
  • +3Description length 395: enough signal without eating the budget
  • +4Structure: 28 headings
  • +3Step-by-step instructions: 123 items
  • +4Has examples (21 code blocks)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

External checks

ClawHub: clean
This skill locally turns MP3 playlists into MP4 videos using disclosed Python and FFmpeg scripts, with no evidence of hidden data access or network behavior.
LLM: benign (high) · VirusTotal: · 28 May 2026