behavioral-finance

behavioral-finance is a skill for Claude Code, Codex from SZWzz/AStockPursue. It costs 42 tokens per session (2,377 once invoked), scanned A, original, no licence file.

A guide to behavioral finance, the study of how emotions and mental shortcuts affect investing decisions. It covers why investors may react too strongly, too slowly, or follow recurring sentiment patterns.

In plain words
What is it for?
Use it to study momentum and reversals, assess investor sentiment cycles, create cognitive-bias checklists, or reduce bias in quantitative investment strategies.
Why use it?
It helps explain market moves that standard financial models may not fully capture and encourages checks against common thinking errors.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to study momentum and reversals, assess investor sentiment cycles, create cognitive-bias checklists, or reduce bias in quantitative investment strategies.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/szwzz/astockpursue/behavioral-finance
Install

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.

Any agent
npx skills add SZWzz/AStockPursue --skill behavioral-finance
Clone the repo
git clone --depth 1 https://github.com/SZWzz/AStockPursue

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for behavioral-finance

README.md
[![agentmods](https://agentmods.dev/badge/skills/szwzz/astockpursue/behavioral-finance/github.svg)](https://agentmods.dev/skills/szwzz/astockpursue/behavioral-finance)
Your own site
<a href="https://agentmods.dev/skills/szwzz/astockpursue/behavioral-finance"><img src="https://agentmods.dev/badge/skills/szwzz/astockpursue/behavioral-finance/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.

agentmods 80×15 button for behavioral-finance

Your own site · 80×15
<a href="https://agentmods.dev/skills/szwzz/astockpursue/behavioral-finance"><img src="https://agentmods.dev/badge/skills/szwzz/astockpursue/behavioral-finance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,377 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00042 $0.02377
Opus 5 $0.00021 $0.01189
Sonnet 5 $0.00008 $0.00475
Haiku 4.5 $0.00004 $0.00238

Measured 11d ago against content hash 1ecc91cc4d5c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

behavioral-finance 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 11d 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.

services/python/src/skills/behavioral-finance/SKILL.md · 209 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Changes

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.

  1. 11d ago First seen · 209 lines · 42 tokens per session scan A 1ecc91cc4d5c

Subscribe to this mod's changes

behavioral-finance is a skill published in the GitHub repository SZWzz/AStockPursue (5 stars, last pushed 1mo ago), with no licence file. It adds 42 tokens to every session and 2,377 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 2026-08-31.

Related

Other skills, from other repositories

correlation-analysis

Correlation and cointegration analysis — co-movement discovery, deep return-correlation analysis, sector clustering, realized correlation, Engle-Granger / Johansen cointegration, half-life, Kalman dynamic hedge ratio, cross-market linkage analysis, and pair-trading signal generation.

HKUDS/Vibe-Trading · 57 tokens

credit-analysis

A guide to analysing bonds and other fixed-income investments, including issuer credit quality, interest payments, default risk, credit spreads, and convertible bonds. It also covers Chinese fixed-income markets and local-government financing bonds.

HKUDS/Vibe-Trading · 36 tokens

correlation-regime

Correlation-regime detection and crisis attribution — edge-density regime states with hysteresis, causal (no look-ahead) smoothing, regime-aware exposure context, first-mover crisis attribution with honest NAME / MACRO / AMBIGUOUS / ABSTAIN verdicts, and a correlation-rewiring leaderboard that catches slow bleed-outs.

HKUDS/Vibe-Trading · 70 tokens

quant-statistics

Quantitative statistical methods: ADF unit-root / cointegration tests, GARCH volatility modeling, regression diagnostics (heteroskedasticity / autocorrelation), Bootstrap, and hypothesis testing.

HKUDS/Vibe-Trading · 41 tokens

risk-analysis

Risk measurement and stress testing — VaR/CVaR/max drawdown calculation, Monte Carlo simulation, extreme-value tail-risk analysis, and historical scenario stress testing.

HKUDS/Vibe-Trading · 35 tokens

market-microstructure

Market microstructure: bid-ask spread analysis, order-flow toxicity metrics (VPIN / Kyle lambda), liquidity measures (Amihud / Roll), price-impact models, limit-order-book analysis, and China A-share call auction / block trade mechanics.

HKUDS/Vibe-Trading · 55 tokens