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 ellmos-ai/bach --skill deliverygit 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/delivery)<a href="https://agentmods.dev/skills/ellmos-ai/bach/delivery"><img src="https://agentmods.dev/badge/skills/ellmos-ai/bach/delivery/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/ellmos-ai/bach/delivery"><img src="https://agentmods.dev/badge/skills/ellmos-ai/bach/delivery.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00082 | $0.00675 |
| Opus 5.5 | $0.00033 | $0.00270 |
| Sonnet 5.5 | $0.00016 | $0.00135 |
| Haiku 4.5 | $0.00008 | $0.00068 |
Grade A, and why
delivery-engine 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 25d 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.
What it actually says
Delivery Engine
Kategorie: Ausgabe & Zustellung Integration: keine (Stand 2026-09-17) — Verwendung als Bibliothek Handler: keiner — Aufruf nur programmatisch
Zweck
Zentrale Zustellungs-Engine fuer Dossiers, Analysen, Berichte. Alle erzeugten Inhalte sollen ohne Handler-Sonderfaelle an alle konfigurierten Ziel-Kanaele verteilt werden koennen.
API
Klasse: DeliveryEngine (hub/_services/delivery/delivery_engine.py)
from hub._services.delivery.delivery_engine import DeliveryEngine
engine = DeliveryEngine()
result = engine.deliver(
content="# Mein Report\n\nInhalt...",
title="Steuer-Analyse 2024",
format="pdf", # pdf, md, txt, json, html
skill="steuer-agent", # optional: Skill-Kontext
agent=None, # optional: Agent-Kontext
metadata=None, # optional: Metadaten
delivery_override=None, # optional: Methoden-Override
)
Kanaele (delivery_methods):
user_folder— Standard-Ablage im User-Ordnerbrowser_preview— PDF auto-open im Browseremail— Gmail via Mail-Drivertelegram— via Connector-Drivercloud_local— lokale Cloud-Ordner (OneDrive, Google Drive, Dropbox)system_inbox— fuer externe Abholung
Modi: parallel (alle konfigurierten Methoden parallel) oder
only (nur angegebene Methode(n)).
Konfiguration: Config-Datei, sonst Default
(default_delivery: mode=parallel, methods=[user_folder]).
Abhaengigkeiten
- Mail-Driver (Gmail) fuer Kanal
email - Connector-Driver (Telegram) fuer Kanal
telegram - Cloud-Sync-Ordner fuer Kanal
cloud_local - PDF-Erzeugung fuer
format="pdf"
Hinweis (Stand 2026-09-17): Engine ist funktionsfaehig, wird aber
von keinem Handler referenziert (nur eigene Datei + directory_truth).
Bei erster Integration diesen Status auf active heben.
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.
- 25d ago First seen · 87 lines · 82 tokens per session scan A c5d5666f24be
delivery-engine is a skill published in the GitHub repository ellmos-ai/bach (8 stars, last pushed today), licensed MIT. It adds 82 tokens to every session and 675 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-22.
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