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CC suno-music

Suno music by Ace Data Cloud. Generate songs, instrumental music and lyrics, extend tracks, create covers and edit multitrack Studio projects. Use when the user asks for Suno music or song generation.

AceDataCloud/Skills Agent Skills author: AceDataCloud 3 files body ≈ 5 205 tokens Open the sourcegithub.com↗ analyzed 2 h ago

Suno music by Ace Data Cloud.

As a process C 63/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

ProcedureGitHubSoftware developmentAI and agentsWriting and documentstype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
C
86/100
safety, quality, tests
Safety 60%
94
Quality 40%
75
Run on models
none yet
Process rating
C
63/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Obfuscation medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The files contain invisible characters, encoded commands or comments hidden from readers but visible to the model. What you read differs from what the agent sees.

For the author

Remove invisible characters (they usually sneak in through copy-paste) and encoded strings: no catalog will pass them. Instructions for the model must be readable by a human too.

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 · 2

✓ No critical or high findings

Medium and low: 2
  • medium Obfuscation obf-base64-blob readme.zh-CN.md:20
    Long base64-looking blob
    这是 2026-10-17 拍摄的账户技能真实目录页，用于展示共同安装控件；请使用上面的本服务 slug，不把该图当本服务安装/生成结果。[图片来源和边界](https://github.com/AceDataCloud/Skills/blob/0901…a3b/docs/skills-sh/image-sources.json)。
  • low Obfuscation obf-base64-blob README.md:22
    Long base64-looking blob (detector / deny-list definition)
    Actual account-Skill page captured on 2026-10-17, showing the same installation control. Use this service's slug above; the screenshot is not a suno-music installation or generation result. [Image sou
    detector

Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5205 tokens (recommended < 5000); move details to references/
  • note edit-residue the text marks something as outdated (lines 47, 48): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 63/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 30 mutating operations with no state check
  • 40Result and completion. Does not say what the result is
  • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
  • 70When it triggers. States when to use, but not when not to
  • 70Execution cost. Instruction body is 5205 tokens
  • 100Steps. 26 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 12 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
  • +2Single-language instructions
  • +3Description length 200: enough signal without eating the budget
  • +4Structure: 26 headings
  • +3Step-by-step instructions: 26 items
  • +4Has examples (21 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.