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 agentmods add agents/bkuri/jesse-mcp/agent-cgit clone --depth 1 https://github.com/bkuri/jesse-mcpWrote 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/bkuri/jesse-mcp/agent-c)<a href="https://agentmods.dev/agents/bkuri/jesse-mcp/agent-c"><img src="https://agentmods.dev/badge/agents/bkuri/jesse-mcp/agent-c.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.01370 |
| Opus 5 | $0.00000 | $0.00685 |
| Sonnet 5 | $0.00000 | $0.00274 |
| Haiku 4.5 | $0.00000 | $0.00137 |
Grade A, and why
agent-c 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 4d 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 — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
JESSE FRAMEWORK KNOWLEDGE
Backtesting Engine
- Jesse's native backtesting capabilities with configurable timeframes
- Performance metrics calculation: Sharpe ratio, Sortino ratio, max drawdown, win rate
- Walk-forward analysis and out-of-sample testing
Statistical Analysis
- Hypothesis testing for strategy improvements
- Bootstrap resampling for confidence intervals
- Correlation analysis with heatmap visualization
Monte Carlo Simulation
- 10,000+ simulation runs for robustness testing and confidence interval analysis
- Distribution analysis of returns and risk metrics
Performance Properties
self.metrics- Access to complete backtest resultsself.trades- Trade-by-trade analysis dataself.daily_balances- Portfolio value evolution for metrics calculationself.position- Position object with comprehensive trade information- Methods: Access current position details for risk management and exit decisions
self.candles- Returns all candles for current trading route- Primary usage: Technical indicator calculations
self.get_candles(exchange: str, symbol: str, timeframe: str)- Fetches candles for any exchange, symbol, and timeframeself.price- Current/closing price of current candle- Alias: close_price, current_candle[2] - Usage: Entry/exit price calculations and indicator references
self.index- Counter for strategy execution iterations- Usage: Periodic actions, time-based exits, performance tracking
- Methods: before(), should_long(), go_long(), update_position(), liquidate() - Execution order: before() → filters → should_long/should_short → go_long/go_short → update_position() → after()
Strategy Workflow on Every Candle
On every candle:
before()
if has_open_position:
update_position() # update position including stop loss and take profit updates, or even liquidating position
else:
if has_active_orders:
if should_cancel_entry():
# cancels remaining orders automatically
else:
if should_long():
go_long()
if should_short():
go_short()
if filters_pass():
submit_entry_orders()
after()
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.
- 4d ago First seen · 153 lines · 0 tokens per session scan A 189f9b10c5b4
agent-c is an agent published in the GitHub repository bkuri/jesse-mcp (20 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,370 tokens. A static security scan graded it A with 0 findings. It comes from a forked repository.
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