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/ellmos-ai/bach/productionnpx skills add ellmos-ai/bach --skill productiongit clone --depth 1 https://github.com/ellmos-ai/bachWrote 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/ellmos-ai/bach/production)<a href="https://agentmods.dev/skills/ellmos-ai/bach/production"><img src="https://agentmods.dev/badge/skills/ellmos-ai/bach/production.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 | $0.00066 | $0.01070 |
| Opus 5 | $0.00033 | $0.00535 |
| Sonnet 5 | $0.00013 | $0.00214 |
| Haiku 4.5 | $0.00007 | $0.00107 |
Grade A, and why
production 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 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.
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 — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Production (Boss-Agent)
Production Agents sind spezialisiert auf Content-Erstellung in verschiedenen Medienformaten.
Untergeordnete Experten (Agents)
| Bereich | Beschreibung | Ordner (Plan) |
|---|---|---|
| Musik | Song-Generierung, Audio-Produktion | agents/_experts/production_music/ |
| Podcast | Podcast-Produktion, TTS | agents/_experts/production_podcast/ |
| Video | Video-Generierung, Editing | agents/_experts/production_video/ |
| Text | Texterstellung, Copywriting | agents/_experts/production_text/ |
| Storys | Narrative, Drehbücher | agents/_experts/production_story/ |
| PR | Pressemeldungen, Marketing | agents/_experts/production_pr/ |
Integrierte Services
- media (MediaBrain Integration)
- prompt-manager (Content-Prompts)
- mail (Newsletter-Versand Update)
Externe Tools (Nach Kategorie)
[🎵 Musik]
- Suno - Song-Generierung mit Lyrics
- Udio - High-Fidelity Musik
- Lalal.ai - Stem-Separation
- Auphonic - Audio-Mastering
[🎙️ Podcast]
- ElevenLabs - Text-to-Speech
- Descript - Transkription & Editing
- Auphonic - Normalisierung
- Podcastle - Remote-Aufnahme
- NotebookLM - Podcast aus Dokumenten
[🎬 Video]
- Runway Gen-3 - Text-to-Video
- Luma Dream Machine - Realistische Videos
- Pika Labs - Kreative Shorts
- Kling AI - Lange Clips
- Magnific AI - Upscaling
[✍️ Text]
- DeepL Write - Stiloptimierung
- Claude - Long-Form Content
- Gamma - Präsentationen
- Notion AI - Dokumentation
[📖 Storys]
- Claude - Narrative
- ChatGPT - Kreatives Schreiben
- Midjourney - Visualisierung
[📢 PR]
- Gamma - Pressekits
- Ideogram - Logos & Grafiken
- Canva - Design (MCP)
- DeepL Write - Übersetzung
Workflow-Integration
graph TD
User[User Request] --> ProdAgent[Production Agent]
ProdAgent --> Analyze{Analyse: Welcher Sub-Agent?}
Analyze --> Music[Musik]
Analyze --> Video[Video]
Analyze --> Text[Text]
Music --> Tools[Tools: Suno, etc.]
Video --> Tools
Text --> Tools
Tools --> Service[Service: media/mail]
Service --> UserOutput[Output: user/services_output/production/]
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 · 164 lines · 66 tokens per session scan A 60b9f04b1ad0
production is a skill published in the GitHub repository ellmos-ai/bach (7 stars, last pushed today), licensed MIT. It adds 66 tokens to every session and 1,070 once invoked, about $0.0003 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 2026-08-31.
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