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 GiangGiangTran/ba-skills --skill user-psychologygit clone --depth 1 https://github.com/GiangGiangTran/ba-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/gianggiangtran/ba-skills/user-psychology)<a href="https://agentmods.dev/skills/gianggiangtran/ba-skills/user-psychology"><img src="https://agentmods.dev/badge/skills/gianggiangtran/ba-skills/user-psychology/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/gianggiangtran/ba-skills/user-psychology"><img src="https://agentmods.dev/badge/skills/gianggiangtran/ba-skills/user-psychology.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 | $0.00041 | $0.01998 |
| Opus 5.5 | $0.00016 | $0.00799 |
| Sonnet 5.5 | $0.00008 | $0.00400 |
| Haiku 4.5 | $0.00004 | $0.00200 |
Grade A, and why
user-psychology 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 321 lines — stays where its author put it; the contents beside it link to each section on GitHub.
User Psychology for BA
People are not rational. Design for how they actually behave.
What is User Psychology?
Definition: Understanding how people make decisions, what motivates them, what biases influence them, and what causes friction - the human factors in product adoption and use.
Why it matters:
- Features nobody uses: Built without understanding motivation
- High friction adoption: UX doesn't match how people think
- Resistance to change: Didn't anticipate psychological barriers
- Poor engagement: Doesn't align with user incentives
When to Use:
- ✅ Understanding why users do (or don't do) something
- ✅ Designing engagement and motivation
- ✅ Reducing adoption friction
- ✅ Managing change resistance
- ✅ Predicting user behavior
5 Core Psychology Concepts
1. Cognitive Biases: Why People Make Decisions They Do
People are predictably irrational.
CONFIRMATION BIAS:
People seek evidence supporting their existing belief
Impact: Users ignore warnings, skip steps they think unnecessary
Fix: Make required steps impossible to skip, not just recommended
LOSS AVERSION:
People fear losing what they have 2x more than gaining equivalent
Impact: Users resistant to change even if beneficial
Fix: Frame as "keep what's good, improve problem areas"
STATUS QUO BIAS:
People prefer things to stay the same
Impact: Users reluctant to adopt new features/products
Fix: Make switching easy (migration tools, training)
ANCHORING:
First number heard becomes reference point
Impact: First price offered anchors negotiation
Fix: Present realistic prices first
SUNK COST FALLACY:
People continue because they invested so much
Impact: Users reluctant to switch even to better solution
Fix: Reduce switching costs
CHOICE OVERLOAD:
Too many options paralyzes decision-making
Impact: Feature-rich UI prevents users from choosing anything
Fix: 3-5 options max, clear recommendations
See: references/cognitive-biases.md
2. Motivation: What Drives Behavior
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.
- 2mo ago First seen · 321 lines · 41 tokens per session scan A 57b5fdd31c24
user-psychology is a skill published in the GitHub repository GiangGiangTran/ba-skills (8 stars, last pushed 8mo ago), licensed MIT. It adds 41 tokens to every session and 1,998 once invoked, about $0.0002 per session on Opus 5.5. 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.
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