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 marketgit 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/market)<a href="https://agentmods.dev/skills/ellmos-ai/bach/market"><img src="https://agentmods.dev/badge/skills/ellmos-ai/bach/market.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 | $0.00017 | $0.00440 |
| Opus 5 | $0.00009 | $0.00220 |
| Sonnet 5 | $0.00003 | $0.00088 |
| Haiku 4.5 | $0.00002 | $0.00044 |
Grade A, and why
market 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 8d 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
Market Data Service
Finanzmarkt-Daten über yfinance API mit Caching und Fehlerbehandlung.
Module
| Modul | Beschreibung |
|---|---|
data_provider.py |
yfinance Wrapper mit TTL-Cache |
database.py |
SQLite für Portfolios, Watchlists, Transaktionen |
Verwendung
from skills._services.market.data_provider import DataProvider
from skills._services.market.database import Database
# Marktdaten abrufen
provider = DataProvider()
data = provider.get_stock_data("AAPL", period="1y")
# Portfolio-Datenbank
db = Database()
db.add_to_watchlist("NVDA")
Abhängigkeiten
yfinance- Yahoo Finance APIpandas- Datenverarbeitungnumpy- Berechnungen
Migration Status
| Task | Beschreibung | Status |
|---|---|---|
| PORT_001a | core/ Module migrieren | ✅ DONE |
| PORT_001b | analysis/ Ordner migrieren | ✅ DONE |
| PORT_001c | indicators/ Modul migrieren | OFFEN (Quelle nicht gefunden) |
| PORT_001d | jobs/ Modul migrieren | OFFEN (Quelle nicht gefunden) |
| PORT_002 | SKILL.md aktualisieren | ✅ DONE |
| PORT_005 | API-Design für Agent-Zugriff | ✅ DONE (API_DESIGN.md) |
Hinweis
Namenskonflikt vermieden: financial/ Service ist für Mail-Analyse (Rechnungen, Abos).
Dieser market/ Service ist für Finanzmarkt-Daten (Aktien, ETFs, Crypto).
What ships with it
18 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.
- __init__.py 7.2 KB runs code
- analysis/__init__.py 1.6 KB runs code
- analysis/base.py 11 KB runs code
- analysis/correlation/__init__.py 1.1 KB runs code
- analysis/ml/__init__.py 1.1 KB runs code
- analysis/ml/neural_net.py 12 KB runs code
- analysis/ml/random_forest.py 11 KB runs code
- analysis/nlp/__init__.py 1.1 KB runs code
- analysis/nlp/research_agent.py 9.7 KB runs code
- analysis/nlp/sentiment.py 8.3 KB runs code
- analysis/registry.py 9.2 KB runs code
- analysis/statistical/__init__.py 1.3 KB runs code
- analysis/statistical/arima.py 8.0 KB runs code
- analysis/statistical/mean_reversion.py 11 KB runs code
- analysis/statistical/monte_carlo.py 11 KB runs code
- API_DESIGN.md 6.6 KB
- data_provider.py 13 KB runs code
- database.py 15 KB runs code
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.
- 8d ago First seen · 66 lines · 17 tokens per session scan A f84ffbf376c5
market is a skill published in the GitHub repository ellmos-ai/bach (7 stars, last pushed yesterday), licensed MIT. It adds 17 tokens to every session and 440 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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