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 agentmods add skills/timoncool/ace-step-studio/acestepnpx skills add timoncool/ACE-Step-Studio --skill acestepgit 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)<a href="https://agentmods.dev/skills/timoncool/ace-step-studio/acestep"><img src="https://agentmods.dev/badge/skills/timoncool/ace-step-studio/acestep.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00057 | $0.03275 |
| Opus 5 | $0.00028 | $0.01638 |
| Sonnet 5 | $0.00011 | $0.00655 |
| Haiku 4.5 | $0.00006 | $0.00328 |
Grade B, and why
acestep scanned grade B with 2 findings 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 5d 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 jq` (Debian/Ubuntu) or `sudo dnf install jq` (Fedora) Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
The `scripts/acestep.sh` script requires: **curl** and **jq**. Copies of this mod
2 near-identical copies found in the catalogue:
- ace-step-music-generation-remix — 94% identical, 539 lines differ
- acestep — 92% identical, 544 lines differ
How it starts
The opening of the file, as written. The whole thing — 292 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ACE-Step Music Generation Skill
Use ACE-Step V1.5 API for music generation. Always use scripts/acestep.sh script — do NOT call API endpoints directly.
Quick Start
# 1. cd to this skill's directory
cd {project_root}/{.claude or .codex}/skills/acestep/
# 2. Check API service health
./scripts/acestep.sh health
# 3. Generate with lyrics (recommended)
./scripts/acestep.sh generate -c "pop, female vocal, piano" -l "[Verse] Your lyrics here..." --duration 120 --language zh
# 4. Output saved to: {project_root}/acestep_output/
Workflow
For user requests requiring vocals:
- Use the acestep-songwriting skill for lyrics writing, caption creation, duration/BPM/key selection
- Write complete, well-structured lyrics yourself based on the songwriting guide
- Generate using Caption mode with
-cand-lparameters
Only use Simple/Random mode (-d or random) for quick inspiration or instrumental exploration.
If the user needs a simple music video, use the acestep-simplemv skill to render one with waveform visualization and synced lyrics.
MV Production Requirements: Making a simple MV requires three additional skills to be installed:
- acestep-songwriting — for writing lyrics and planning song structure
- acestep-lyrics-transcription — for transcribing audio to timestamped lyrics (LRC)
- acestep-simplemv — for rendering the final music video
- acestep-thumbnail (optional) — for generating cover art / MV background images via Gemini API
MV Background Image: When the user requests MV production, ask whether they want a background image for the video:
- Generate via Gemini — use the acestep-thumbnail skill (requires Gemini API key configuration)
- Provide an existing image — user supplies a local image path
- Skip — use the default animated gradient background (no image needed)
Use AskUserQuestion to let the user choose before proceeding with MV rendering.
Parallel Processing: Lyrics transcription and thumbnail generation are independent tasks. When the user chooses to generate a background image, run acestep-lyrics-transcription and acestep-thumbnail in parallel (e.g. via two concurrent Agent calls) to save time, then use both outputs for the final MV render.
What ships with it
3 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.
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.
- 5d ago First seen · 292 lines · 57 tokens per session scan B e5b74f9eb037
acestep is a skill published in the GitHub repository timoncool/ACE-Step-Studio (334 stars, last pushed 5d ago), licensed MIT. It adds 57 tokens to every session and 3,275 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 2 findings (asks for root, makes network calls). 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-generate
Generates music from text descriptions and lyrics using ACE-Step 1.5's Python API. Creates full songs with vocals, instrumentals, or both. Supports 50+ languages, 10-600 second duration, quality presets (draft/standard/high/max), and batch generation.
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-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-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-analyze
Analyzes audio files for BPM, musical key, loudness (LUFS), duration, format, and quality metrics. Uses ffprobe for metadata and FFmpeg for loudness measurement.