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/commands/mindsightventures/lona-agent-skills/lona-strategies)<a href="https://agentmods.dev/commands/mindsightventures/lona-agent-skills/lona-strategies"><img src="https://agentmods.dev/badge/commands/mindsightventures/lona-agent-skills/lona-strategies/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/commands/mindsightventures/lona-agent-skills/lona-strategies"><img src="https://agentmods.dev/badge/commands/mindsightventures/lona-agent-skills/lona-strategies.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 | $0.00014 | $0.00277 |
| Opus 5 | $0.00007 | $0.00138 |
| Sonnet 5 | $0.00003 | $0.00055 |
| Haiku 4.5 | $0.00001 | $0.00028 |
Grade A, and why
lona-strategies 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 12d 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
Lona Strategy Management
Manage trading strategies on the Lona platform.
Actions
List strategies
Use lona_list_strategies to show all saved strategies with their names, IDs, and versions.
View strategy details
Use lona_get_strategy to get metadata, then lona_get_strategy_code to view the Python source code.
Create from code
Use lona_create_strategy with Python Backtrader code. The code must:
- Import backtrader (
import backtrader as bt) - Define a class inheriting from
bt.Strategy - Use params tuple format:
params = (('name', default),)
Create from description
Use lona_create_strategy_from_description for AI-powered generation:
- Provide a natural language description
- Poll
lona_get_strategy_creation_statusevery 10-15 seconds - Wait for COMPLETED status (typically 3-5 minutes)
Update strategy
Use lona_update_strategy to modify name, description, or code of an existing strategy.
Ask the user
- What they want to do (list, view, create, update)
- For creation: describe the trading logic or provide 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.
- 12d ago First seen · 36 lines · 14 tokens per session scan A bb61e90b2211
lona-strategies is a command published in the GitHub repository mindsightventures/lona-agent-skills (4 stars, last pushed 6mo ago), licensed MIT. It adds 14 tokens to every session and 277 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.
Other commands, from other repositories
analyze-bond-rv
Analyze a bond's relative value vs yield curves and credit spreads with scenario stress testing.
valuation-methods
Valuation methods analysis — multiples, DCF inputs, PEG integration, valuation assumption extraction.
merit-reconcile
Preview or check the status of Stripe → Merit payout reconciliation (read-only).
audit-checklist
Perform an internal audit, review controls, or prepare for an external financial audit.
scan
Scan AWS account for cost optimization.
audit
Scan for non-kernel money math. Rebuild critical flows as JournalEntrys. Replay and prove. Complements /ledger-verify.