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 calesthio/generative-media-skills --skill ace-stepgit clone --depth 1 https://github.com/calesthio/generative-media-skillsWrote 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/calesthio/generative-media-skills/ace-step)<a href="https://agentmods.dev/skills/calesthio/generative-media-skills/ace-step"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/ace-step/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/calesthio/generative-media-skills/ace-step"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/ace-step.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00076 | $0.04792 |
| Opus 5 | $0.00038 | $0.02396 |
| Sonnet 5 | $0.00015 | $0.00958 |
| Haiku 4.5 | $0.00008 | $0.00479 |
Grade A, and why
ace-step scanned grade A with 0 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 9d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 354 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ACE-Step music production
Use this skill when a task calls for ACE-Step or ACE-Step 1.5 as the music engine, or when choosing an open-weight/local music-generation path for songs, background music, vocal tracks, covers, remixes, stems, or video soundtrack assets.
Treat ACE-Step as a fast generative music workstation, not a deterministic MIDI sequencer. It can follow style, lyric, structure, tempo, key, and reference-audio guidance, but outputs still need listening, selection, edits, mastering, rights checks, and delivery-format prep.
Current facts to anchor on
Documented facts below were verified on 2026-07-10 from official ACE-Step GitHub, Hugging Face model cards, official docs, and arXiv reports.
- ACE-Step 1.5 is an open-source music foundation model co-led by ACE Studio and StepFun. It combines a planning language model with a diffusion transformer acoustic renderer.
- Main generation modes include text-to-music, lyrics-to-song, instrumental generation, cover/style transfer, repainting, LEGO/layered track generation, extraction, and completion. Some editing modes are documented as base-model-only.
- The official ACE-Step 1.5 Hugging Face card lists license
MIT, model typeText2Music, 50+ languages, and consumer-hardware/local operation claims. The GitHub repository is MIT-licensed. - The official API is asynchronous: submit with
POST /release_task, pollPOST /query_result, then download files via/v1/audio?path=.... - Duration control exists through
audio_duration/duration/target_duration; the official API docs list range 10-600 seconds. The technical report describes v1.5 as scaling from short loops to 10-minute compositions. - Output format options documented in the API include
flac,mp3,opus,aac,wav, andwav32. - Official model-zoo guidance distinguishes DiT model families:
acestep-v15-turbo: fast, SFT, 8-step, high quality, medium diversity, medium fine-tunability; good first default for production iteration.acestep-v15-base: 50-step, CFG-enabled, medium quality, high diversity, easy fine-tuning; use when you need base-only tasks, CFG, higher exploration, extraction/LEGO/complete support, or training/fine-tuning workflows.acestep-v15-sft: 50-step, high quality, medium diversity, easy fine-tuning; use when you prefer SFT quality over turbo speed and do not need base-only capabilities.- XL models use a larger 4B DiT decoder; official docs say they target higher quality and require more VRAM, with >=12GB VRAM using offload/quantization or >=20GB without offload.
- LM options include
acestep-5Hz-lm-0.6B,1.7B, and4B; larger LMs are documented as stronger at composition and melody copying.
- Official docs state launch scripts exist for Windows CUDA, Windows ROCm, Linux CUDA, and macOS Apple Silicon MLX. Custom launch settings can be kept in
.envusing variables such asACESTEP_CONFIG_PATH,ACESTEP_LM_MODEL_PATH,PORT, andLANGUAGE. - ACE-Step DAW is a separate AGPL-3.0-or-later project and has different distribution obligations than the MIT model repository; do not assume MIT terms apply to a bundled DAW deployment.
What ships with it
1 file 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.
- 9d ago First seen · 354 lines · 76 tokens per session scan A afe36c3f2021
ace-step is a skill published in the GitHub repository calesthio/generative-media-skills (170 stars, last pushed 2mo ago), licensed MIT. It adds 76 tokens to every session and 4,792 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
threejs-animation
Three.js animation - keyframe animation, skeletal animation, morph targets, animation mixing. Use when animating objects, playing GLTF animations, creating procedural motion, or blending animations.
threejs-geometry
Three.js geometry creation - built-in shapes, BufferGeometry, custom geometry, instancing. Use when creating 3D shapes, working with vertices, building custom meshes, or optimizing with instanced rendering.
threejs-fundamentals
Three.js scene setup, cameras, renderer, Object3D hierarchy, coordinate systems. Use when setting up 3D scenes, creating cameras, configuring renderers, managing object hierarchies, or working with transforms.
threejs-world-generation
Build deterministic, editable, free-viewpoint Three.js worlds from text or structured briefs. Use for cinematic 3D terrain, semantic regions, procedural biomes, explicit landmarks, environmental scattering, camera fly-throughs, world diagnostics, or requests for a real 3D environment rather than generated 2D footage.…
3d-asset-generation
Generate, reconstruct, inspect, and route production 3D assets for OpenMontage worlds using Atlas Cloud, fal.ai, licensed catalogs, and Blender.
sound-effects
Generate sound effects from text descriptions using ElevenLabs. Use when creating sound effects, generating audio textures, producing ambient sounds, cinematic impacts, UI sounds, or any audio that isn't speech. Supports looping, duration control, and prompt influence tuning.