SKILLEMALL.ai

BF music-craft

Generate songs, instrumentals, or lyrics-driven tracks through a structured OpenClaw-native workflow with anti-sparse prompt engineering and quality verification. Provider-agnostic — works with any music backend the runtime exposes (ACE-Step, MusicGen, Stable Audio, mmx).

ClawHub Agent Skills author: LuisCharro v1.6.0 MIT-0 35 files body ≈ 9 887 tokens Open the sourceclawhub.ai analyzed 31 h ago

Generate songs, instrumentals, or lyrics-driven tracks through a structured OpenClaw-native workflow with anti-sparse prompt engineering and quality…

As a process F 66/100 · Will not run — References files that are not bundled: /Users/luis/Repos/skills/publish/LOCAL-MODELS-INSTALL-GUIDE.md, ../music-craft-minimax/scripts/lint_music_request.py, ../music-craft-minimax/references/emotion-delivery.md

ProcedureAI and agentsSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
95
Quality 40%
68
Run on models
none yet
Process rating
F
66/100
Will not run
References files that are not bundled: /Users/luis/Repos/skills/publish/LOCAL-MODELS-INSTALL-GUIDE.md, ../music-craft-minimax/scripts/lint_music_request.py, ../music-craft-minimax/references/emotion-delivery.md
Tools and files w 18
0
Inputs and preconditions w 11
30
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.

Dangerous commands 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 skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  2. The text references files that are not there: add them or drop the references.
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 · 1

✓ No critical or high findings

Medium and low: 1
  • medium Dangerous commands cmd-pipe-to-shell-known-host references/windows-wsl-setup.md:100
    Pipe-to-shell installer from a well-known host (still executes remote code)
    curl -LsSf https://astral.sh/uv/install.sh | sh

Files scanned: 35. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 9887 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: /Users/luis/Repos/skills/publish/LOCAL-MODELS-INSTALL-GUIDE.md
  • warning missing-ref reference to a missing file: ../music-craft-minimax/scripts/lint_music_request.py
  • warning missing-ref reference to a missing file: ../music-craft-minimax/references/emotion-delivery.md
  • warning missing-ref reference to a missing file: scripts/lint_music_request.py

Process rating: all ten parameters 66/100

Will not run. References files that are not bundled: /Users/luis/Repos/skills/publish/LOCAL-MODELS-INSTALL-GUIDE.md, ../music-craft-minimax/scripts/lint_music_request.py, ../music-craft-minimax/references/emotion-delivery.md
  • 0Tools and files. 4 referenced file(s) missing: /Users/luis/Repos/skills/publish/LOCAL-MODELS-INSTALL-GUIDE.md, ../music-craft-minimax/scripts/lint_music_request.py, ../music-craft-minimax/references/emotion-delivery.md
  • 30Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 18 mutating operations with no state check
  • 40Execution cost. Instruction body is 9887 tokens: crowds the task out of the window
  • 85Steps. 139 steps, 1 vague phrases
  • 100Result and completion. Output format and completion criterion are stated
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 20 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 26 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)
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • +1No license
  • +2Single-language instructions
  • +3Description length 272: enough signal without eating the budget
  • +4Structure: 44 headings
  • +3Step-by-step instructions: 139 items
  • +3Output format is stated explicitly
  • +4Has examples (0 code blocks)
  • +4Reference files are cited in the instructions (25 of 26)
  • +3All 6 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: clean
This music-generation skill uses local and optional cloud backends in a disclosed, purpose-aligned way, with some setup and privacy caveats users should notice.
LLM: benign (medium) · VirusTotal: · 30 Jul 2026