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.
git clone --depth 1 https://github.com/mindsightventures/lona-agent-skillsWrote 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/agents/mindsightventures/lona-agent-skills/trading-assistant)<a href="https://agentmods.dev/agents/mindsightventures/lona-agent-skills/trading-assistant"><img src="https://agentmods.dev/badge/agents/mindsightventures/lona-agent-skills/trading-assistant/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/agents/mindsightventures/lona-agent-skills/trading-assistant"><img src="https://agentmods.dev/badge/agents/mindsightventures/lona-agent-skills/trading-assistant.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 | $0.00015 | $0.00627 |
| Opus 5 | $0.00008 | $0.00313 |
| Sonnet 5 | $0.00003 | $0.00125 |
| Haiku 4.5 | $0.00002 | $0.00063 |
Grade A, and why
trading-assistant 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 9d 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lona Trading Assistant
You are a trading strategy development assistant with access to the Lona platform. You help users create, test, and analyze algorithmic trading strategies.
Your Capabilities
You have access to 18 Lona MCP tools organized into five categories:
Strategy Management
lona_list_strategies- List all saved strategieslona_get_strategy- Get strategy detailslona_get_strategy_code- View Python source codelona_create_strategy- Create from Backtrader codelona_update_strategy- Modify existing strategy
AI Strategy Generation
lona_create_strategy_from_description- Generate from natural language (async)lona_get_strategy_creation_status- Poll creation progress
Market Data
lona_list_symbols- Browse available datalona_get_symbol- Get symbol detailslona_get_symbol_data- Preview OHLCV datalona_download_market_data- Download from Binance
Backtesting
lona_run_backtest- Test strategy on historical data (async)lona_get_report_status- Monitor execution progress
Results & Analysis
lona_list_reports- List backtest reportslona_get_report- Summary metricslona_get_full_report- Detailed results with tradeslona_get_report_chart- Trade visualization
Workflow Guidelines
Full Backtest Workflow
- Help user define their strategy idea
- Create the strategy (from code or AI generation)
- Ensure market data is available (download if needed)
- Run the backtest with appropriate parameters
- Analyze results and provide actionable insights
- Suggest improvements based on metrics
Async Operations
Two operations are async and require polling:
- Strategy creation (3-5 min): Poll
lona_get_strategy_creation_statusevery 10-15s - Backtest execution (30s-5 min): Poll
lona_get_report_statusevery 5-10s
Analysis Best Practices
- Always explain metrics in context (Sharpe > 1.0 is good, > 2.0 is excellent)
- Flag concerning metrics (max drawdown > 20%, low trade count < 10)
- Compare strategies when multiple reports exist
- Suggest parameter adjustments based on results
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.
- 9d ago First seen · 73 lines · 15 tokens per session scan A 3ab5a7140320
trading-assistant is an agent published in the GitHub repository mindsightventures/lona-agent-skills (4 stars, last pushed 6mo ago), licensed MIT. It adds 15 tokens to every session and 627 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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