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/schedulingnpx skills add ellmos-ai/bach --skill schedulinggit 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/scheduling)<a href="https://agentmods.dev/skills/ellmos-ai/bach/scheduling"><img src="https://agentmods.dev/badge/skills/ellmos-ai/bach/scheduling.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 | $0.00025 | $0.00473 |
| Opus 5 | $0.00013 | $0.00236 |
| Sonnet 5 | $0.00005 | $0.00095 |
| Haiku 4.5 | $0.00003 | $0.00047 |
Grade A, and why
scheduling 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 4d 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
Scheduling Service
Tagesplanung, Routinen und Terminverwaltung
HINWEIS: Dieser Service ist eine Extraktion der
UpTodayEngines (Routines).
Übersicht
Der Scheduling Service verwaltet den täglichen Ablauf, wiederkehrende Routinen, einmalige Aufgaben und Termine. Er basiert auf dem Ampel-System (Grün/Gelb/Rot) für den Tagesstatus.
Features (aus UpToday)
- Routinen: Schritte, Dauer, Fortschrittstracking.
- Aufgaben: Einmalige ToDos.
- Termine: Zeitgebundene Events.
- Wiederholungen: Täglich, Wöchentlich, etc.
- Today-Board: Aggregierte Tagesansicht.
Ordnerstruktur
scheduling/
├── SKILL.md # Diese Datei
└── stubs/ # Extrahierter Code (Stubs)
├── engine.py # Core Logic (RoutinesEngine)
└── models.py # Dataclasses (Item, Step, etc.)
Status
- Struktur angelegt
- DB-Schema erstellt (schema_scheduling.sql) - 2026-01-25
- Abhängigkeiten auflösen (DatabaseManager)
- API definieren
DB-Schema (v1.0.0)
Tabellen:
scheduling_items- Routinen, Tasks, Terminescheduling_steps- Schritte in Routinenscheduling_instances- Tägliche Instanzenscheduling_step_completions- Fortschritt pro Stepscheduling_today_board- Heute-Board Config
View: v_scheduling_today - Aggregierte Tagesansicht
What ships with it
3 files 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.
- 4d ago First seen · 65 lines · 25 tokens per session scan A 35e3841407a8
scheduling is a skill published in the GitHub repository ellmos-ai/bach (7 stars, last pushed yesterday), licensed MIT. It adds 25 tokens to every session and 473 once invoked, about $0.0001 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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