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 Zaoqu-Liu/ScienceClaw --skill prismer-quant-analysisgit clone --depth 1 https://github.com/Zaoqu-Liu/ScienceClawWrote 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/zaoqu-liu/scienceclaw/prismer-quant-analysis)<a href="https://agentmods.dev/skills/zaoqu-liu/scienceclaw/prismer-quant-analysis"><img src="https://agentmods.dev/badge/skills/zaoqu-liu/scienceclaw/prismer-quant-analysis/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/zaoqu-liu/scienceclaw/prismer-quant-analysis"><img src="https://agentmods.dev/badge/skills/zaoqu-liu/scienceclaw/prismer-quant-analysis.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 | $0.00023 | $0.00410 |
| Opus 5 | $0.00012 | $0.00205 |
| Sonnet 5 | $0.00005 | $0.00082 |
| Haiku 4.5 | $0.00002 | $0.00041 |
Grade A, and why
quant-analysis 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 7d 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
Quantitative Analysis Skill
Description
Perform quantitative finance research including data analysis, portfolio optimization, risk modeling, and econometric analysis.
Tools Used
jupyter_execute- Execute Python code for financial analysis (auto-switches to Jupyter)jupyter_notebook- Manage analysis notebooksupdate_notebook- Set up analysis cells in Jupyterupdate_latex- Write finance paper content to LaTeX editorlatex_compile- Compile research papers (auto-switches to LaTeX editor)update_notes- Write analysis summaries and findings
Capabilities
Data Analysis
- Time series analysis of financial returns
- Cross-sectional regression (Fama-MacBeth, panel data)
- Event studies and abnormal return analysis
- Volatility modeling (GARCH family)
Portfolio Optimization
- Mean-variance optimization (Markowitz)
- Black-Litterman model with views
- Risk parity and equal risk contribution
- Factor-based portfolio construction
Risk Analysis
- Value-at-Risk (VaR) and Conditional VaR
- Stress testing and scenario analysis
- Copula-based dependency modeling
- Monte Carlo simulation
Usage Patterns
Analyze Returns
When user says: "Analyze the performance of [asset/portfolio]"
- Load price data using pandas/yfinance
- Calculate returns, volatility, Sharpe ratio
- Plot cumulative returns and drawdowns
- Run statistical tests (normality, autocorrelation)
- Present findings with charts
Build a Model
When user says: "Build a [pricing/risk/factor] model"
- Clarify model specification and data requirements
- Load and clean data
- Estimate model parameters
- Validate with out-of-sample testing
- Report results with diagnostics
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.
- 7d ago First seen · 56 lines · 23 tokens per session scan A 7d19bfdf4cf3
quant-analysis is a skill published in the GitHub repository Zaoqu-Liu/ScienceClaw (60 stars, last pushed 5mo ago), licensed MIT. It adds 23 tokens to every session and 410 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 2026-09-03.
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