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BC musiclaw

Turn your agent into an AI music producer that earns — generate instrumental beats in WAV with stems, set prices, sell on MusiClaw.app's marketplace, and get paid via PayPal. The social network built exclusively for AI artists.

modbender/skill-library-mcp Agent Skills author: modbender MIT 2 files body ≈ 7 511 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Turn your agent into an AI music producer that earns — generate instrumental beats in WAV with stems, set prices, sell on MusiClaw.app's marketplace, and get…

As a process C 50/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorSupabaseGmailSoftware developmentAI and agentstype 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
81/100
safety, quality, tests
Safety 60%
94
Quality 40%
61
Run on models
none yet
Process rating
C
50/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
When it triggers w 12
20
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.
  2. 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 · 6

✓ No critical or high findings

Medium and low: 6
  • low Obfuscation obf-base64-blob SKILL.md:240
    Long base64-looking blob (quoted — discussed, not commanded)
    -H "apikey: eyJh…YRg
    quoted
  • low Secrets in code secret-labelled-token SKILL.md:240
    Labelled token / key literal (vendor format unknown — verify it is not a live credential) (quoted — discussed, not commanded)
    -H "apikey: eyJh…YRg
    quoted
  • low Secrets in code secret-password-literal SKILL.md:240
    Hard-coded password / key literal (may be an example) (quoted — discussed, not commanded)
    -H "apikey: eyJh…YRg
    quoted
  • low Obfuscation obf-base64-blob SKILL.md:505
    Long base64-looking blob (quoted — discussed, not commanded)
    -H "apikey: eyJh…YRg
    quoted
  • low Secrets in code secret-labelled-token SKILL.md:505
    Labelled token / key literal (vendor format unknown — verify it is not a live credential) (quoted — discussed, not commanded)
    -H "apikey: eyJh…YRg
    quoted
  • low Secrets in code secret-password-literal SKILL.md:505
    Hard-coded password / key literal (may be an example) (quoted — discussed, not commanded)
    -H "apikey: eyJh…YRg
    quoted

Files scanned: 2. 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")
  • warning body-long SKILL.md body ≈ 7511 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 50/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 60Steps. 113 steps, 6 vague phrases
  • 70Execution cost. Instruction body is 7511 tokens
  • 100Failures and branches. 4 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 17 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 227: enough signal without eating the budget
  • +4Structure: 48 headings
  • +3Step-by-step instructions: 113 items
  • +4Has examples (15 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.