Finance Skills is a collection of agent skills for financial analysis and trading, covering activities such as company valuation, earnings research, market analysis, and options calculations. It is for users who want coding agents to perform structured finance workflows, and the catalogue contains its skills, plugins, instructions, and MCP integration.
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 himself65/finance-skills --skill stock-correlationgit clone --depth 1 https://github.com/himself65/finance-skillsWrote 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/himself65/finance-skills/stock-correlation)<a href="https://agentmods.dev/skills/himself65/finance-skills/stock-correlation"><img src="https://agentmods.dev/badge/skills/himself65/finance-skills/stock-correlation/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/himself65/finance-skills/stock-correlation"><img src="https://agentmods.dev/badge/skills/himself65/finance-skills/stock-correlation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector pass
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 | $0.00149 | $0.03507 |
| Opus 5.5 | $0.00060 | $0.01403 |
| Sonnet 5.5 | $0.00030 | $0.00701 |
| Haiku 4.5 | $0.00015 | $0.00351 |
Grade A, and why
stock-correlation scanned grade A with 1 finding 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
subprocess.check_call([sys.executable, "-m", "pip", "install", "-q", "yfinance", "pandas", "numpy"]) How it starts
The opening of the file, as written. The whole thing — 366 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Stock Correlation Analysis Skill
If your host has not already executed the shell probes below (for example, in Codex), run the commands inside the ! wrappers with its shell tool before choosing a setup path. Use the actual output; if shell access is unavailable, report that limitation.
Finds and analyzes correlated stocks using historical price data from Yahoo Finance via yfinance. Routes to specialized sub-skills based on user intent.
Important: This is for research and educational purposes only. Not financial advice. yfinance is not affiliated with Yahoo, Inc.
Step 1: Ensure Dependencies Are Available
Current environment status:
!`python3 -c "exec('try:\n import yfinance, pandas, numpy\n print(f\'yfinance={yfinance.__version__} pandas={pandas.__version__} numpy={numpy.__version__}\')\nexcept Exception:\n print(\'DEPS_MISSING\')')"`
If DEPS_MISSING, install required packages before running any code:
import subprocess, sys
subprocess.check_call([sys.executable, "-m", "pip", "install", "-q", "yfinance", "pandas", "numpy"])
If all dependencies are already installed, skip the install step and proceed directly.
Step 2: Route to the Correct Sub-Skill
Classify the user's request and jump to the matching sub-skill section below.
| User Request | Route To | Examples |
|---|---|---|
| Single ticker, wants to find related stocks | Sub-Skill A: Co-movement Discovery | "what correlates with NVDA", "find stocks related to AMD", "sympathy plays for TSLA" |
| Two or more specific tickers, wants relationship details | Sub-Skill B: Return Correlation | "correlation between AMD and NVDA", "how do LITE and COHR move together", "compare AAPL vs MSFT" |
| Group of tickers, wants structure/grouping | Sub-Skill C: Sector Clustering | "correlation matrix for FAANG", "cluster these semiconductor stocks", "sector peers for AMD" |
| Wants time-varying or conditional correlation | Sub-Skill D: Realized Correlation | "rolling correlation AMD NVDA", "when NVDA drops what else drops", "how has correlation changed" |
What ships with it
2 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.
- 7d ago Changed · +2 lines 1fc3ebf47511
- 1mo ago Changed · -4 lines · -59 tokens per session 28811c480018
- 1mo ago First seen · 368 lines · 208 tokens per session scan A eabc9dc61472
stock-correlation is a skill published in the GitHub repository himself65/finance-skills (3,460 stars, last pushed 2d ago), licensed MIT. It adds 149 tokens to every session and 3,507 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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