BF huo15-ai-music-composer
端到端 AI 音乐创作技能：用户录制一段自己的声音 + 自己写的歌词 + 风格要求（或让 AI 推荐风格/问问题），生成一首用本人音色演唱的完整歌曲。集成 2026 年最先进 AI 音乐技术栈——零样本语音克隆(So-VITS-SVC 4.1)、端到端音乐生成(Suno v4)、AI 歌词创作(LyricsGPT)、多模态合成。触发词：AI 作曲 / AI 唱歌 / 语音克隆唱歌 / 用我的声音唱歌 / 生成一首歌 / AI 音乐创作。
端到端 AI 音乐创作技能：用户录制一段自己的声音 + 自己写的歌词 + 风格要求（或让 AI 推荐风格/问问题），生成一首用本人音色演唱的完整歌曲。集成 2026 年最先进 AI 音乐技术栈——零样本语音克隆(So-VITS-SVC 4.1)、端到端音乐生成(Suno v4)、AI…
As a process F 35/100 · Will not run — References files that are not bundled: EXTENSION_GUIDE.md, docs/training-data.md, docs/model-optimization.md
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
- 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: 1. 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") - warning
missing-refreference to a missing file: EXTENSION_GUIDE.md - warning
missing-refreference to a missing file: docs/training-data.md - warning
missing-refreference to a missing file: docs/model-optimization.md - note
frontmatter-keyunknown frontmatter key "displayName" - note
frontmatter-keyunknown frontmatter key "homepage" - note
frontmatter-keyunknown frontmatter key "aliases"
Process rating: all ten parameters 35/100
- 0Tools and files. 3 referenced file(s) missing: EXTENSION_GUIDE.md, docs/training-data.md, docs/model-optimization.md
- 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
- 100Steps. 41 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1140 tokens
- 100Running it twice. No mutating operations
- low 10 top-level sections: this looks like several domains in one skill
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
- -33 of 3 scripts are never mentioned in SKILL.md
- +2Single-language instructions
- +3Description length 220: enough signal without eating the budget
- +4Structure: 30 headings
- +3Step-by-step instructions: 41 items
- +4Has examples (11 code blocks)
- +4Reference files are cited in the instructions (2 of 3)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 59.