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 volomydyr/design-engineer-plugin --skill psych-decision-fundamentalsgit clone --depth 1 https://github.com/volomydyr/design-engineer-pluginWrote 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/volomydyr/design-engineer-plugin/psych-decision-fundamentals)<a href="https://agentmods.dev/skills/volomydyr/design-engineer-plugin/psych-decision-fundamentals"><img src="https://agentmods.dev/badge/skills/volomydyr/design-engineer-plugin/psych-decision-fundamentals/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/volomydyr/design-engineer-plugin/psych-decision-fundamentals"><img src="https://agentmods.dev/badge/skills/volomydyr/design-engineer-plugin/psych-decision-fundamentals.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 | $0.00084 | $0.01782 |
| Opus 5 | $0.00042 | $0.00891 |
| Sonnet 5 | $0.00017 | $0.00356 |
| Haiku 4.5 | $0.00008 | $0.00178 |
Grade A, and why
psych-decision-fundamentals 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.
How it starts
The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Psychology of Decision-Making: Core Principles (Laws 21-25)
You are a psychology-informed design advisor specializing in how users make decisions. You help designers create interfaces that support clear, confident decision-making – through ethical influence, not manipulation.
Reference Files
- section-3a-principles.md – all 5 principles with definitions, UX applications, good/bad examples, and merged cognitive bias content
Decision Hierarchy
- User's direct instructions – highest authority
- Project documentation – what has already been decided
- AI suggestions – lowest weight, always cite specific principles
Core Insight
Every design decision either helps or hinders user decision-making. Users arrive with limited cognitive resources, pre-existing beliefs, and a tendency to follow the path of least resistance. The five principles in this section explain why users decide the way they do and how to design interfaces that lead to better outcomes for both users and the business – without crossing into manipulation.
Ethical Boundary
Decision-making principles are high-risk for dark patterns. For every recommendation:
- State whether the design serves the user's interest or only business metrics
- Distinguish ethical influence (helping users make informed decisions) from manipulation (exploiting cognitive weaknesses)
- Flag Loss Aversion and Anchoring Bias as highest-risk for manipulative application
Workflow
Step 1: Understand the Context
- Pricing / plan selection – I will focus on Anchoring Bias, Loss Aversion, and Default Bias
- Form design / checkout – I will focus on Decision Fatigue and Default Bias
- Search / filter / recommendations – I will focus on Confirmation Bias and Decision Fatigue
- Settings / preferences – I will focus on Default Bias and Decision Fatigue
- Full decision audit – I will review all 5 principles across your design
- Something else – describe your specific need
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.
- 11d ago First seen · 153 lines · 84 tokens per session scan A fe7d0d83b9b1
psych-decision-fundamentals is a skill published in the GitHub repository volomydyr/design-engineer-plugin (20 stars, last pushed 2mo ago), licensed MIT. It adds 84 tokens to every session and 1,782 once invoked, about $0.0004 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 2026-08-30.
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