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 mindsightventures/lona-agent-skills --skill trading-strategygit 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/skills/mindsightventures/lona-agent-skills/trading-strategy)<a href="https://agentmods.dev/skills/mindsightventures/lona-agent-skills/trading-strategy"><img src="https://agentmods.dev/badge/skills/mindsightventures/lona-agent-skills/trading-strategy/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/mindsightventures/lona-agent-skills/trading-strategy"><img src="https://agentmods.dev/badge/skills/mindsightventures/lona-agent-skills/trading-strategy.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 | $0.00070 | $0.01172 |
| Opus 5 | $0.00035 | $0.00586 |
| Sonnet 5 | $0.00014 | $0.00234 |
| Haiku 4.5 | $0.00007 | $0.00117 |
Grade A, and why
lona-trading-strategy 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 11d 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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Trading Strategy Development
You have access to Lona's trading strategy tools for creating and managing algorithmic trading strategies using the Backtrader framework.
Available Tools
Strategy Management
- lona_list_strategies: List all saved strategies with metadata (name, ID, description, version)
- lona_get_strategy: Get strategy details (name, description, version, language, timestamps)
- lona_get_strategy_code: View the Python Backtrader source code of a strategy
- lona_create_strategy: Create a new strategy from existing Python Backtrader code
- lona_update_strategy: Modify an existing strategy's name, description, or code. Returns a NEW strategy ID (versioning)
AI Strategy Generation
- lona_create_strategy_from_description: Generate a strategy from a natural language description (async — returns jobId)
- lona_get_strategy_creation_status: Poll the async creation job for progress
Strategy Code Requirements
All strategies must use Python with the Backtrader framework:
- Import:
import backtrader as bt - Inherit from
bt.Strategy - Define parameters using tuple format:
params = (('name', default_value),) - Implement
__init__for indicators andnextfor trading logic - Use
self.buy(),self.sell(),self.close()for order execution - Access data via
self.data.close[0],self.data.open[0], etc.
Workflows
Create a strategy from Python code
- Write Backtrader-compatible Python code
- Call
lona_create_strategywith name, description, and code - Receive a strategy ID for backtesting
Generate a strategy with AI
- Call
lona_create_strategy_from_descriptionwith a clear natural language description - Receive a
jobIdimmediately - Poll
lona_get_strategy_creation_statusevery 10-15 seconds - Status pipeline: PENDING -> GENERATING -> SAVING -> COMPLETED/FAILED
- When COMPLETED, receive the
strategyId, generated code, explanation, and quality review - Typical creation time: 3-5 minutes
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.
- 11d ago First seen · 137 lines · 70 tokens per session scan A 296e9d68cf99
lona-trading-strategy is a skill published in the GitHub repository mindsightventures/lona-agent-skills (4 stars, last pushed 6mo ago), licensed MIT. It adds 70 tokens to every session and 1,172 once invoked, about $0.0003 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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