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 skloxo/TideTrading --skill agentgit clone --depth 1 https://github.com/skloxo/TideTradingWrote 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/skloxo/tidetrading/agent)<a href="https://agentmods.dev/skills/skloxo/tidetrading/agent"><img src="https://agentmods.dev/badge/skills/skloxo/tidetrading/agent/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/skloxo/tidetrading/agent"><img src="https://agentmods.dev/badge/skills/skloxo/tidetrading/agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 204 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Data Exfiltration · line 230 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00139 | $0.04605 |
| Opus 5.5 | $0.00056 | $0.01842 |
| Sonnet 5.5 | $0.00028 | $0.00921 |
| Haiku 4.5 | $0.00014 | $0.00460 |
Grade A, and why
vibe-trading 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.
How it starts
The opening of the file, as written. The whole thing — 350 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Vibe-Trading
Professional finance research toolkit with AI-powered backtesting (7 engines), multi-agent teams, 79 specialized skills, the Alpha Zoo (452 pre-built quantitative alphas across qlib158 / alpha101 / gtja191 / academic with one-line CLI benchmarking), and the Shadow Account loop — extract your implicit trading rules from a journal, backtest them across A股/港股/美股/crypto, then see where they would have served you better.
Setup
pip install vibe-trading-ai
Package name vs commands: The PyPI package is
vibe-trading-ai. Once installed, you get:
Command Purpose vibe-tradingInteractive CLI / TUI vibe-trading serveLaunch FastAPI web server vibe-trading-mcpStart MCP server (for Claude Desktop, OpenClaw, Cursor, etc.)
Add to your agent's MCP config:
{
"mcpServers": {
"vibe-trading": {
"command": "vibe-trading-mcp"
}
}
}
API Key Requirements
Core research MCP tools work with zero API keys for HK/US/crypto. After pip install, backtesting, market data, factor analysis, options pricing, chart patterns, web search, document reading, trade journal analysis, shadow-account extraction/backtest/report, the Alpha Zoo (452 pre-built alphas), and all 79 skills are ready to use. IBKR tools require a local TWS / IB Gateway session; run_swarm requires an LLM key.
| Feature | Key needed | When |
|---|---|---|
| HK/US equities & crypto | None | Always free (yfinance / stooq / yahoo + OKX) |
| China A-share data | None | Free via akshare / baostock / tencent / sina / eastmoney / mootdx fallback (TUSHARE_TOKEN optional for premium quality) |
| Premium US fundamentals/quotes | FINNHUB_API_KEY / ALPHAVANTAGE_API_KEY / TIINGO_API_KEY / FMP_API_KEY |
Only for optional-key providers (graceful fallback to free sources) |
Multi-agent swarm (run_swarm) |
OPENAI_API_KEY + LANGCHAIN_MODEL_NAME |
Swarm spawns internal LLM workers |
What ships with it
60 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.
- .editorconfig 110 B
- .env.example 7.7 KB
- .gitignore 61 B
- api_server.py 56 KB runs code
- backtest/__init__.py 0 B runs code
- backtest/benchmark.py 4.5 KB runs code
- backtest/correlation.py 9.4 KB runs code
- backtest/engines/__init__.py 1.1 KB runs code
- backtest/engines/_market_hooks.py 9.0 KB runs code
- backtest/engines/base.py 30 KB runs code
- backtest/engines/china_a.py 5.4 KB runs code
- backtest/engines/china_futures.py 10.0 KB runs code
- backtest/engines/composite.py 7.1 KB runs code
- backtest/engines/crypto.py 3.0 KB runs code
- backtest/engines/forex.py 4.9 KB runs code
- backtest/engines/futures_base.py 1.7 KB runs code
- backtest/engines/global_equity.py 2.9 KB runs code
- backtest/engines/global_futures.py 8.3 KB runs code
- backtest/engines/options_portfolio.py 22 KB runs code
- backtest/loaders/__init__.py 0 B runs code
- backtest/loaders/_http.py 6.4 KB runs code
- backtest/loaders/_symbol_utils.py 643 B runs code
- backtest/loaders/akshare_loader.py 9.3 KB runs code
- backtest/loaders/alphavantage_loader.py 8.7 KB runs code
- backtest/loaders/baostock_loader.py 4.7 KB runs code
- backtest/loaders/base.py 21 KB runs code
- backtest/loaders/ccxt_loader.py 6.8 KB runs code
- backtest/loaders/eastmoney_client.py 10 KB runs code
- backtest/loaders/eastmoney_loader.py 6.1 KB runs code
- backtest/loaders/finnhub_loader.py 9.6 KB runs code
- backtest/loaders/fmp_loader.py 7.2 KB runs code
- backtest/loaders/futu.py 6.0 KB runs code
- backtest/loaders/local_loader.py 8.7 KB runs code
- backtest/loaders/mootdx_loader.py 9.6 KB runs code
- backtest/loaders/okx.py 5.9 KB runs code
- backtest/loaders/registry.py 8.0 KB runs code
- backtest/loaders/rsshub_events.py 21 KB runs code
- backtest/loaders/sec_edgar_client.py 7.2 KB runs code
- backtest/loaders/sina_loader.py 6.7 KB runs code
- backtest/loaders/stooq_loader.py 6.4 KB runs code
- backtest/loaders/tencent_loader.py 4.2 KB runs code
- backtest/loaders/tiingo_loader.py 8.2 KB runs code
- backtest/loaders/tushare_fundamentals.py 10 KB runs code
- backtest/loaders/tushare.py 10 KB runs code
- backtest/loaders/yahoo_client.py 14 KB runs code
- backtest/loaders/yahoo_loader.py 9.0 KB runs code
- backtest/loaders/yfinance_loader.py 9.7 KB runs code
- backtest/metrics.py 8.6 KB runs code
- backtest/models.py 2.3 KB runs code
- backtest/optimizers/__init__.py 405 B runs code
- backtest/optimizers/base.py 4.0 KB runs code
- backtest/optimizers/equal_volatility.py 1.3 KB runs code
- backtest/optimizers/max_diversification.py 1.7 KB runs code
- backtest/optimizers/mean_variance.py 2.0 KB runs code
- backtest/optimizers/risk_parity.py 1.3 KB runs code
- backtest/run_card.py 8.8 KB runs code
- backtest/runner.py 32 KB runs code
- backtest/validation.py 14 KB runs code
- cli/__init__.py 3.8 KB runs code
- cli/__main__.py 106 B 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.
- 1mo ago First seen · 350 lines · 139 tokens per session scan A e7231204c81b
vibe-trading is a skill published in the GitHub repository skloxo/TideTrading (13 stars, last pushed 2d ago), licensed MIT. It adds 139 tokens to every session and 4,605 once invoked, about $0.0006 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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us-stock-analysis
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portfolio-swarm-review
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