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 audioshake-stem-separationgit 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/audioshake-stem-separation)<a href="https://agentmods.dev/skills/calesthio/generative-media-skills/audioshake-stem-separation"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/audioshake-stem-separation/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/audioshake-stem-separation"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/audioshake-stem-separation.svg" alt="Reviewed on agentmods" width="80" 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 Data Exfiltration · line 164 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00211 | $0.05449 |
| Opus 5 | $0.00105 | $0.02724 |
| Sonnet 5 | $0.00042 | $0.01090 |
| Haiku 4.5 | $0.00021 | $0.00545 |
Grade A, and why
audioshake-stem-separation 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 — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AudioShake stem separation
AudioShake is a hosted audio source-separation service: it takes one mixed recording and returns isolated component tracks ("stems"). It does not generate, synthesize, mix, or master audio — it decomposes an existing mix. This skill covers driving its developer API, choosing the right separation targets for a production job, judging and repairing the resulting stems, the rights questions that separation raises, and when to reach for a local open model instead.
All API facts below were verified against developer.audioshake.ai on 2026-07-10. Endpoints, model names, credit rates, and limits are volatile — re-check the live models / billing / rate-limits reference pages and the OpenAPI spec (https://developer.audioshake.ai/api-reference/openapi.json) before relying on a specific number in production.
When this skill applies
Use it when the job is to pull apart a recording:
- Music stems — isolate vocals, drums, bass, guitar, piano, keys, strings, or winds for remixing, karaoke, sampling, sync, immersive/Atmos re-authoring, or practice/minus-one tracks.
- Dialogue / Music / Effects (DME) — split a film, TV, or podcast mix into clean dialogue, a music+effects bed, or an effects-only bed for localization, foreign-language dubbing, M&E (music-and-effects) deliverables, or archival restoration where the original stems are lost.
- Multi-speaker — separate an interview, panel, meeting, or overlapping-dialogue recording into one stem per speaker.
- Lyric transcription / alignment — line-level lyric transcripts or word-level karaoke timing.
- Content analysis / cleanup — detect or identify music inside long-form content (rights clearance), or denoise/dereverb speech.
Do not use it to write, generate, or synthesize audio, to compose music, to mix or master, or to add effects. Those are generative or engineering tasks, not separation. If the user already has clean stems and wants them combined or processed, that is out of scope.
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 · 228 lines · 211 tokens per session scan A 2c9a0638c2cd
audioshake-stem-separation is a skill published in the GitHub repository calesthio/generative-media-skills (170 stars, last pushed 2mo ago), licensed MIT. It adds 211 tokens to every session and 5,449 once invoked, about $0.0011 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.
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