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 weathergit 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/weather)<a href="https://agentmods.dev/skills/ellmos-ai/bach/weather"><img src="https://agentmods.dev/badge/skills/ellmos-ai/bach/weather/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/weather"><img src="https://agentmods.dev/badge/skills/ellmos-ai/bach/weather.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 | $0.00029 | $0.00490 |
| Opus 5.5 | $0.00012 | $0.00196 |
| Sonnet 5.5 | $0.00006 | $0.00098 |
| Haiku 4.5 | $0.00003 | $0.00049 |
Grade A, and why
weather 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 1mo 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
BACH Weather Service
Version: 1.0 Autor: BACH System Datum: 2026-02-18 API-Key: Nicht erforderlich (wttr.in)
Beschreibung
Ruft aktuelles Wetter fuer beliebige GPS-Koordinaten ab. Datenquelle: wttr.in (kostenlos, kein API-Key, JSON-API).
Nutzung (Library)
import sys
sys.path.insert(0, str(BACH_DIR))
from hub._services.weather.weather_service import get_weather, get_weather_text
# Lesbarer String (fuer Prompts)
text = get_weather_text(lat=47.761, lon=8.079)
# Strukturiertes Dict
data = get_weather(lat=47.761, lon=8.079)
# -> {"temp_c": 0, "feels_like_c": -3, "humidity": 100, ...}
Nutzung (CLI)
python weather_service.py <lat> <lon>
python weather_service.py 47.761 8.079
Rueckgabefelder (get_weather)
temp_c– Temperatur in Grad Celsiusfeels_like_c– Gefuehlte Temperaturhumidity– Luftfeuchtigkeit in %windspeed_kmph– Windgeschwindigkeit km/hwinddir– Windrichtung (N, NE, E, ...)wind_arrow– Pfeilsymbol fuer Windrichtungdescription_de– Deutsche Wetterbeschreibungicon– Wetter-Emoji (☀️, ⛅, 🌧️, ❄️, ...)location_name– Naechster Ortsname (Nominatim)country– Landuv_index– UV-Index
Integration
- Telegram Bridge: GPS-Pin → Wetter wird automatisch abgerufen
- bridge_daemon.py:
_fetch_weather(lat, lng)→ injiziert Wetter in Prompt
What ships with it
2 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.
- 1mo ago Changed · +10 lines · +29 tokens per session d62f8f186b0b
- 1mo ago First seen · 48 lines · 0 tokens per session scan A 0c12a7554d8f
weather is a skill published in the GitHub repository ellmos-ai/bach (8 stars, last pushed today), licensed MIT. It adds 29 tokens to every session and 490 once invoked, about $0.0001 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 2026-08-31.
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