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 Proxy2021/Enso --skill strategy_simulatorgit clone --depth 1 https://github.com/Proxy2021/EnsoWrote 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/proxy2021/enso/strategy_simulator)<a href="https://agentmods.dev/skills/proxy2021/enso/strategy_simulator"><img src="https://agentmods.dev/badge/skills/proxy2021/enso/strategy_simulator/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/proxy2021/enso/strategy_simulator"><img src="https://agentmods.dev/badge/skills/proxy2021/enso/strategy_simulator.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 | $0.00029 | $0.00669 |
| Opus 5.5 | $0.00012 | $0.00268 |
| Sonnet 5.5 | $0.00006 | $0.00134 |
| Haiku 4.5 | $0.00003 | $0.00067 |
Grade A, and why
strategy_simulator 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 — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Portfolio strategy simulator for exploring construction parameters, risk budgeting, performance benchmarks, development roadmaps, and decision tracking for quantitative trading strategies
Tool Reference
enso_strategy_simulator_configure (primary)
Configure portfolio construction parameters and see computed impact metrics. Adjusts holdings count, rebalance frequency, weighting scheme, concentration limits, and regime buffer. Use when the user says: 'configure strategy', 'set portfolio parameters', 'adjust holdings', 'strategy settings'.
Parameters:
holdings(number): Number of holdings (10, 20, 30, or 50)rebalanceFrequency(string): Rebalance frequency: weekly, monthly, or quarterlyweightingScheme(string): Weighting scheme: equal_weight, rank_weighted, or volatility_scaledmaxSingleWeight(number): Maximum single-stock weight percentage (1-10)maxSectorConcentration(number): Maximum sector concentration percentage (15-40)regimeBuffer(boolean): Enable regime-conditional cash buffer
enso_strategy_simulator_benchmark
Show historical performance reference table comparing benchmark strategies with CAGR, Sharpe ratio, max drawdown, and turnover data. Use when the user says: 'show benchmarks', 'performance comparison', 'historical returns', 'strategy comparison'.
Parameters:
period(string): Historical period: 10yr, 20yr, or full (default: 20yr)
enso_strategy_simulator_risk_calc
Interactive risk budget calculator. Given portfolio size, return target, and max drawdown, computes required Sharpe ratio, volatility budget, position count, transaction costs, and break-even win rate. Use when the user says: 'calculate risk budget', 'risk analysis', 'how much can I lose', 'position sizing'.
Parameters:
portfolioSize(number): Portfolio size in dollarsreturnTarget(number): Annual return target percentagemaxDrawdown(number): Maximum acceptable drawdown percentageturnoverEstimate(number): Estimated annual turnover percentage (default: 150)commissionBps(number): Commission in basis points per trade (default: 5)
What ships with it
7 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.
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 · 54 lines · 29 tokens per session scan A adef64d83eba
strategy_simulator is a skill published in the GitHub repository Proxy2021/Enso (6 stars, last pushed 5mo ago), licensed MIT. It adds 29 tokens to every session and 669 once invoked, about $0.0001 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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