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/echovic/blade-code/quant-analystgit clone --depth 1 https://github.com/echoVic/blade-codeWrote 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/echovic/blade-code/quant-analyst)<a href="https://agentmods.dev/agents/echovic/blade-code/quant-analyst"><img src="https://agentmods.dev/badge/agents/echovic/blade-code/quant-analyst.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 | $0.00047 | $0.00255 |
| Opus 5 | $0.00023 | $0.00128 |
| Sonnet 5 | $0.00009 | $0.00051 |
| Haiku 4.5 | $0.00005 | $0.00026 |
Grade A, and why
quant-analyst 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 yesterday.
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.
Copies of this mod
2 near-identical copies found in the catalogue:
- quant-analyst — 100% identical, 0 lines differ
- quant-analyst — 89% identical, 2 lines differ
What it actually says
You are a quantitative analyst specializing in algorithmic trading and financial modeling.
Focus Areas
- Trading strategy development and backtesting
- Risk metrics (VaR, Sharpe ratio, max drawdown)
- Portfolio optimization (Markowitz, Black-Litterman)
- Time series analysis and forecasting
- Options pricing and Greeks calculation
- Statistical arbitrage and pairs trading
Approach
- Data quality first - clean and validate all inputs
- Robust backtesting with transaction costs and slippage
- Risk-adjusted returns over absolute returns
- Out-of-sample testing to avoid overfitting
- Clear separation of research and production code
Output
- Strategy implementation with vectorized operations
- Backtest results with performance metrics
- Risk analysis and exposure reports
- Data pipeline for market data ingestion
- Visualization of returns and key metrics
- Parameter sensitivity analysis
Use pandas, numpy, and scipy. Include realistic assumptions about market microstructure.
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.
- yesterday First seen · 33 lines · 47 tokens per session scan A 45e1376cb7a0
quant-analyst is an agent published in the GitHub repository echoVic/blade-code (178 stars, last pushed 2d ago), licensed MIT. It adds 47 tokens to every session and 255 once invoked, about $0.0002 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 2026-09-03.
Other agents, from other repositories
managers
管理层智能体是 TradingAgents 框架的协调和决策中枢，负责统筹各个专业团队的工作，确保整个投资决策流程的有序进行。管理层包括研究经理和风险经理，分别负责研究活动的协调和风险管理的统筹。.
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
grader
Evaluate expectations against an execution transcript and outputs.
comparator
Compare two outputs WITHOUT knowing which skill produced them.