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 charlieviettq/awesome-agent-skill --skill grad-behavioral-financegit clone --depth 1 https://github.com/charlieviettq/awesome-agent-skillWrote 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/charlieviettq/awesome-agent-skill/grad-behavioral-finance)<a href="https://agentmods.dev/skills/charlieviettq/awesome-agent-skill/grad-behavioral-finance"><img src="https://agentmods.dev/badge/skills/charlieviettq/awesome-agent-skill/grad-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.
<a href="https://agentmods.dev/skills/charlieviettq/awesome-agent-skill/grad-behavioral-finance"><img src="https://agentmods.dev/badge/skills/charlieviettq/awesome-agent-skill/grad-behavioral-finance.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 | $0.00083 | $0.00920 |
| Opus 5 | $0.00042 | $0.00460 |
| Sonnet 5 | $0.00017 | $0.00184 |
| Haiku 4.5 | $0.00008 | $0.00092 |
Grade A, and why
"grad-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 9d 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.
This is a copy
91% identical to grad-behavioral-finance — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Behavioral Finance
Overview
Behavioral finance challenges the rational-agent assumption by documenting systematic cognitive biases that affect investor decisions and market prices. Anchored in Kahneman and Tversky's prospect theory (1979), the field explains persistent anomalies that traditional finance cannot.
When to Use
- Explaining market anomalies (momentum, bubbles, crashes) through investor psychology
- Diagnosing decision biases in portfolio management
- Designing de-biasing strategies for investment processes
- Evaluating why "rational" strategies underperform expectations
When NOT to Use
- As a catch-all explanation for any price movement — biases must be identified specifically
- When standard rational models already explain the phenomenon adequately
- For normative portfolio construction without considering limits to arbitrage
Assumptions
IRON LAW: Investors are NOT rational — systematic biases create
predictable pricing errors. These errors persist because arbitrage
is limited (costs, risk, horizon constraints).
Key assumptions:
- Cognitive biases are systematic, not random — they create directional price effects
- Limits to arbitrage prevent rational traders from fully correcting mispricings
- Reference points and framing significantly affect decisions
Methodology
Step 1 — Identify the Behavioral Anomaly
Observe the pricing pattern or decision that deviates from rational expectations.
Step 2 — Map to Specific Biases
| Bias | Description | Market Effect |
|---|---|---|
| Loss aversion | Losses hurt ~2x more than equivalent gains | Disposition effect, equity premium puzzle |
| Overconfidence | Overestimate precision of private information | Excessive trading, under-diversification |
| Herding | Follow the crowd regardless of private signal | Bubbles, momentum, crashes |
| Anchoring | Over-rely on initial reference points | Under-reaction to earnings surprises |
| Mental accounting | Treat money differently based on source/label | Portfolio segregation, house-money effect |
What ships with it
1 file 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.
- 9d ago First seen · 100 lines · 83 tokens per session scan A 67ba56deb53a
"grad-behavioral-finance" is a skill published in the GitHub repository charlieviettq/awesome-agent-skill (26 stars, last pushed 1mo ago), licensed MIT. It adds 83 tokens to every session and 920 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to grad-behavioral-finance, differing in 8 lines, and is treated as a copy.
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