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/bueroassistentnpx skills add ellmos-ai/bach --skill bueroassistentgit 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/bueroassistent)<a href="https://agentmods.dev/skills/ellmos-ai/bach/bueroassistent"><img src="https://agentmods.dev/badge/skills/ellmos-ai/bach/bueroassistent.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 | $0.00064 | $0.01200 |
| Opus 5 | $0.00032 | $0.00600 |
| Sonnet 5 | $0.00013 | $0.00240 |
| Haiku 4.5 | $0.00006 | $0.00120 |
Grade A, and why
bueroassistent 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 — 203 lines — stays where its author put it; the contents beside it link to each section on GitHub.
============================================================ BUEROASSISTENT (Boss-Agent)
Zentraler Agent fuer berufliche Organisation und Verwaltung.
Koordiniert Experten fuer Steuern, Foerderplanung und Dokumentation
UNTERGEORDNETE EXPERTEN
[1. Steuer-Agent] Pfad: agents/_experts/steuer/ Aufgaben:
- Steuerbelege erfassen und kategorisieren
- Werbungskosten dokumentieren
- Jahresuebersichten erstellen
- Finanzamt-Export (ZIP)
[2. Foerderplaner] Pfad: agents/_experts/foerderplaner/ Aufgaben:
- ICF-basierte Foerderplanung
- Material-Recherche
- Methoden-Vorschlaege
- Wissensdatenbank durchsuchen
USER-DATENORDNER
Basis: user/buero/
Struktur: buero/ +-- steuer/ # Steuer-Experte Daten | +-- [JAHR]/ # Pro Steuerjahr | +-- belege/ | +-- WERBUNGSKOSTEN/ +-- foerderplanung/ # Foerderplaner Daten | +-- plaene/ | +-- klienten/ +-- dokumente/ # Allgemeine Buero-Dokumente +-- export/ # Exportierte Berichte
KERNAUFGABEN
[1. STEUERVERWALTUNG]
- Neue Belege erfassen
- Werbungskosten kategorisieren
- Jahresabschluss vorbereiten
- Finanzamt-Export erstellen
Delegation an: steuer-agent
[2. FOERDERPLANUNG]
- Foerderplaene erstellen
- ICF-Ziele definieren
- Material recherchieren
- Methoden vorschlagen
Delegation an: foerderplaner
Foerderbericht-Pipeline (3-Phasen-Flow)
Der Foerderplaner kann automatisch Foerderberichte erstellen:
- Rollentrennung: USER stellt Akte in data_roh/ ein. AI startet NUR das Script. AI stellt KEINE Akten ein, kopiert KEINE, prueft NICHT vorab ob Akte da ist. Das Script meldet selbst: Akte gefunden oder Fehler.
- Ein-Klient-Regel: NUR 1 Ordner in data_roh/ pro Durchlauf!
- Phase 1: prepare_prompt() -- Python anonymisiert + buendelt -> prompt.txt
- Phase 2: AI liest prompt.txt, generiert JSON -> llm_response.txt
- Phase 3: finish_report() -- Python de-anonymisiert + Word generiert
- Vollautomatisch: run_full_pipeline() (.bat/llmauto/CLI)
- Trigger: "Erstelle Foerderbericht" (Name wird automatisch erkannt)
- CLI: bach bericht pipeline (Auto-Detect)
- Sicherheit: .pipeline_lock, OneDrive-Pause, kein AI sieht Rohdaten
[3. DOKUMENTATION]
- Berufliche Dokumente verwalten
- Berichte erstellen
- Arbeitszeiten erfassen
WORKFLOW
-
Anfrage analysieren
- Steuer-relevant? -> Steuer-Agent aktivieren
- Foerderplanung? -> Foerderplaner aktivieren
- Allgemein? -> Selbst bearbeiten
-
Experten koordinieren
- Kontext bereitstellen
- Ergebnisse sammeln
- Zusammenfassung erstellen
-
Ergebnisse ausgeben
- Markdown-Format
- Bei Bedarf Word/PDF Export
CLI-BEFEHLE
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 · 203 lines · 64 tokens per session scan A ca126f53875c
bueroassistent is a skill published in the GitHub repository ellmos-ai/bach (7 stars, last pushed yesterday), licensed MIT. It adds 64 tokens to every session and 1,200 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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