Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add timoncool/ACE-Step-Studio --skill acestep-simplemvgit clone --depth 1 https://github.com/timoncool/ACE-Step-StudioWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/timoncool/ace-step-studio/acestep-simplemv)<a href="https://agentmods.dev/skills/timoncool/ace-step-studio/acestep-simplemv"><img src="https://agentmods.dev/badge/skills/timoncool/ace-step-studio/acestep-simplemv.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Privilege Escalation · line 34 Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00065 | $0.01865 |
| Opus 5 | $0.00032 | $0.00932 |
| Sonnet 5 | $0.00013 | $0.00373 |
| Haiku 4.5 | $0.00006 | $0.00186 |
Grade B, and why
acestep-simplemv scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
- **Linux**: `sudo apt-get install ffmpeg` (Debian/Ubuntu) or `sudo dnf install ffmpeg` (Fedora) How it starts
The opening of the file, as written. The whole thing — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MV Render
Render music videos with waveform visualization and synced lyrics from audio + lyrics input.
Prerequisites
- Remotion project at
scripts/directory within this skill - Node.js + npm dependencies installed
- ffprobe available (for audio duration detection)
First-Time Setup
Before first use, check and install dependencies:
# 1. Check Node.js
node --version
# 2. Install npm dependencies
cd {project_root}/{.claude or .codex}/skills/acestep-simplemv/scripts && npm install
# 3. Check ffprobe
ffprobe -version
If ffprobe is not available, install ffmpeg (which includes ffprobe):
- Windows:
choco install ffmpegor download from https://ffmpeg.org/download.html and add to PATH - macOS:
brew install ffmpeg - Linux:
sudo apt-get install ffmpeg(Debian/Ubuntu) orsudo dnf install ffmpeg(Fedora)
Quick Start
cd {project_root}/{.claude or .codex}/skills/acestep-simplemv/
./scripts/render-mv.sh --audio /path/to/song.mp3 --lyrics /path/to/song.lrc --title "Song Title"
Output: MP4 file at out/<audio_basename>.mp4 (or custom --output path).
Script Usage
./scripts/render-mv.sh --audio <file> --lyrics <lrc_file> --title "Title" [options]
Options:
--audio Audio file path (absolute paths supported)
--lyrics LRC format lyrics file (timestamped)
--lyrics-json JSON lyrics file [{start, end, text}] (alternative to --lyrics)
--title Video title (default: "Music Video")
--subtitle Subtitle text
--credit Bottom credit text
--offset Lyric timing offset in seconds (default: -0.5)
--output Output file path (default: out/<audio_basename>.mp4)
--codec h264|h265|vp8|vp9 (default: h264)
--background Background image file path (if omitted, uses animated gradient)
--browser Custom browser executable path (Chrome/Edge/Chromium)
--max-size Max output file size in MB (e.g. 24). Auto-compresses if exceeded.
Use for IM platforms (WhatsApp≤16MB, Discord≤25MB, Telegram≤50MB)
Environment variables:
BROWSER_EXECUTABLE Path to browser executable (overrides auto-detection)
What ships with it
11 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- scripts/package.json 613 B
- scripts/remotion.config.ts 115 B runs code
- scripts/render-mv.sh 8.4 KB runs code
- scripts/render.mjs 13 KB runs code
- scripts/render.sh 391 B runs code
- scripts/src/AudioVisualization.tsx 11 KB
- scripts/src/index.ts 105 B runs code
- scripts/src/parseLrc.ts 1.2 KB runs code
- scripts/src/Root.tsx 770 B
- scripts/src/types.ts 1.0 KB runs code
- scripts/tsconfig.json 437 B
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 180 lines · 65 tokens per session scan B 797c751f1420
acestep-simplemv is a skill published in the GitHub repository timoncool/ACE-Step-Studio (337 stars, last pushed today), licensed MIT. It adds 65 tokens to every session and 1,865 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
claude-music
Music production suite using ACE-Step 1.5 via Python API. Routes /music commands for generation, cover, repaint, compose, analyze, export, enhance, random, and LoRA training. 50+ languages, up to 10-minute tracks, 48kHz stereo.
claude-music-cover
Creates cover versions and style transfers of existing songs using ACE-Step 1.5. Takes a reference audio file and generates a new version with different style, genre, or vocal characteristics while preserving musical structure.
claude-music-repaint
Edits specific sections of a song using ACE-Step 1.5's repaint mode. Fixes a bad chorus, changes instruments in a section, adds or removes vocals, or regenerates any time range while keeping the rest intact.
claude-music-enhance
Post-processing for generated music. Default path is FFmpeg loudness normalization (fast, CPU-only). Escape hatches: AI vocal denoise for artifacts, stem separation for surgical edits. Both escape-hatch paths reuse tooling from the claude-video skill.
claude-music-export
Exports music for specific platforms with optimal format, loudness, and metadata. Supports Spotify, Apple Music, YouTube, TikTok, podcast, CD, streaming, and archive formats. Uses FFmpeg for loudness normalization, format conversion, and metadata tagging.
claude-music-lora
LoRA and LoKr fine-tuning for ACE-Step 1.5. Trains custom styles from 3-10 songs, manages trained adapters, and applies them during generation. Uses ACE-Step's built-in training pipeline.