SKILLEMALL.ai

BD muse ai

AI 音乐创作助手 — 通过对话生成原创歌曲、纯音乐和 BGM。 当用户想要创作、生成、制作任何形式的音乐时使用此技能。 包括:生成带人声的歌曲、写歌词、作曲编曲、制作纯音乐/BGM/配乐,或将文字变成歌曲。 当用户提到具体音乐风格(如"来首民谣""做首说唱")时也应触发。 支持三种模式:灵感模式(一句话生成)、定制模式(自定义歌词+风格)、纯音乐模式。 不要在用户只是想播放音乐、管理歌单、或转换音频格式时触发。 触发词:做歌、写歌、来首歌、出首歌、做音乐、创作音乐、生成歌曲、 制作音乐、原创歌曲、作曲、编曲、作词、填词、 写歌词、生成歌词、BGM、纯音乐、背景音乐、配乐、 把文字变成歌、变成音乐、做个曲子、 song、music、compose、make a song、write a song、muse、/muse。

ClawHub Agent Skills author: Jiang Swei v1.0.6 MIT-0 10 files · 1 script body ≈ 3 090 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
D
41/100
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
This is a copy of a skill from another catalog; the rating counts the canonical one: muse ai (ClawHub)

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: 10. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 41/100

  • 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
  • 40Consistency. Frontmatter name (muse ai) differs from the folder (muse-ai)
  • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
  • 100Steps. 50 steps
  • 100Execution cost. Instruction body is 3090 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

  • +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
  • -214 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 364: enough signal without eating the budget
  • +4Structure: 37 headings
  • +3Step-by-step instructions: 50 items
  • +4Has examples (25 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 3 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: suspicious
This appears to be a real Muse music-generation skill, but it handles sign-in by asking users to paste a reusable token into chat and then saves it locally, so it needs review before installation.
LLM: suspicious (high) · VirusTotal: · 29 May 2026