SKILLEMALL.ai
GitHub ↗ RU Sign in

BD ZeeLin Music

AI 全自动音乐创作神器：一句话描述，瞬间生成完整歌曲，支持人声演唱/纯音乐、流行/摇滚/民谣等多种风格 - Powered by ZeeLin

ClawHub Agent Skills author: dongjiangliu9-tech v1.2.0 MIT-0 4 files body ≈ 1 326 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

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw 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) Goose OpenCode
JSON
Technical rating
B
82/100
safety, quality, tests
Safety 60%
96
Quality 40%
60
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 · 4

✓ No critical or high findings

Medium and low: 4
  • low Secrets in code secret-high-entropy-token README.md:47
    High-entropy token-like string (may be an id, hash or a credential)
    你: sdpj…osi
  • low Secrets in code secret-high-entropy-token README.md:83
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    Body: { "query": "生成AI音乐: xxx", "skill-id": "zeel…XW0" }
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:76
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "skill-id": "zeel…XW0"
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:89
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "skill_id": "zeel…XW0"
    quoted

Files scanned: 4. 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")
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "requires"

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
  • 30Running it twice. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (ZeeLin Music) differs from the folder (melodylab-ai-song)
  • 100Tools and files. No external tools needed
  • 100Steps. 17 steps
  • 100Execution cost. Instruction body is 1326 tokens
  • low 13 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)
  • +3Description length 72: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -226 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 17 items
  • +4Has examples (12 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.

External checks

ClawHub: suspicious
The skill appears to generate AI music as advertised, but it asks users to paste a reusable billing App-Key into chat and sends that key to MelodyLab, so it belongs in Review.
LLM: suspicious (high) · VirusTotal: · 29 May 2026