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 QuantOracledev/quantoracle --skill mcp-servergit clone --depth 1 https://github.com/QuantOracledev/quantoracleWrote 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/quantoracledev/quantoracle/mcp-server)<a href="https://agentmods.dev/skills/quantoracledev/quantoracle/mcp-server"><img src="https://agentmods.dev/badge/skills/quantoracledev/quantoracle/mcp-server/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/quantoracledev/quantoracle/mcp-server"><img src="https://agentmods.dev/badge/skills/quantoracledev/quantoracle/mcp-server.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 47 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00092 | $0.01527 |
| Opus 5.5 | $0.00037 | $0.00611 |
| Sonnet 5.5 | $0.00018 | $0.00305 |
| Haiku 4.5 | $0.00009 | $0.00153 |
Grade A, and why
quantoracle 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 — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
QuantOracle
63 deterministic quant calculators + 10 composite workflows for AI agents. Every tool accepts JSON and returns JSON. Same inputs always produce same outputs. Paid via x402 micropayments in USDC on Base or Solana.
Browser-friendly calculators: the same math engine is exposed at quantoracle.dev as 12 free interactive calculators (Black-Scholes, Monte Carlo, Kelly, VaR, crypto liquidation, impermanent loss, CAGR, etc.). Useful for spot-checking the API's outputs without writing code.
Install
npx quantoracle-mcp
Or connect directly via MCP:
https://mcp.quantoracle.dev/mcp
Tools
Options Pricing: Black-Scholes pricing with 10 Greeks (delta, gamma, theta, vega, rho, vanna, charm, volga, speed, color), implied volatility solver, multi-leg strategy builder, payoff diagrams.
Exotic Derivatives: Binomial tree, barrier options, lookback options, Asian options, volatility surface, option chain analysis, put-call parity.
Risk Metrics: Portfolio risk (Sharpe, Sortino, max drawdown, VaR, CVaR), Kelly criterion, position sizing, correlation analysis, stress testing, parametric VaR, transaction cost modeling.
Portfolio Optimization: Mean-variance (max Sharpe, min variance, target return), risk parity weights.
Monte Carlo Simulation: Geometric Brownian Motion with configurable paths, steps, and confidence intervals.
Statistics: Linear/polynomial regression, cointegration, Hurst exponent, GARCH forecasting, distribution fitting, correlation matrix, realized volatility, probabilistic Sharpe ratio, z-scores, normal distribution.
Technical Indicators: RSI, MACD, Bollinger Bands, ATR, Fibonacci retracement, crossover detection, regime detection.
Crypto/DeFi: Impermanent loss (v2/v3), liquidation price, funding rate analysis, DEX slippage, APY/APR conversion, vesting schedules, rebalance thresholds.
FX: Interest rate parity, purchasing power parity, forward rates, carry trade analysis.
What ships with it
9 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 · 111 lines · 92 tokens per session scan A 07440c3b5afb
quantoracle is a skill published in the GitHub repository QuantOracledev/quantoracle (13 stars, last pushed today), licensed MIT. It adds 92 tokens to every session and 1,527 once invoked, about $0.0004 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 2026-08-30.
Other skills, from other repositories
lonestaroracle-data
Live pay-per-call data for crypto and DeFi protocol risk, funding rates, open interest, liquidations, stablecoin health, macro, equities, and on-chain intelligence — settled per query in USDC on Base via x402, no signup or API key.
liquidation-heatmap
Liquidation level analysis and heatmap interpretation — identify leveraged position concentration, liquidation cascades, stop-hunt zones, and use liquidation data as support/resistance signals.
crypto-derivatives
Crypto-derivatives strategies — perpetual funding-rate arbitrage, futures term-structure contango/backwardation trading, and option volatility-smile / Greeks analysis.
defi-yield
DeFi yield analysis and optimization — lending rates, LP yields, staking returns, yield farming strategies, risk-adjusted yield comparison, and protocol-level sustainability assessment.
perp-funding-basis
Perpetual futures funding rate analysis and cash-carry basis trading — funding rate regimes, annualized basis signals, carry trade construction, and funding rate arbitrage between exchanges.
token-unlock-treasury
Token unlock schedule analysis and project treasury tracking — vesting cliffs, linear unlocks, team/investor/ecosystem token releases, treasury diversification, and sell pressure forecasting.