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 curiositech/some_claude_skills --skill human-centered-design-fundamentalsgit clone --depth 1 https://github.com/curiositech/some_claude_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/curiositech/some_claude_skills/human-centered-design-fundamentals)<a href="https://agentmods.dev/skills/curiositech/some_claude_skills/human-centered-design-fundamentals"><img src="https://agentmods.dev/badge/skills/curiositech/some_claude_skills/human-centered-design-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/curiositech/some_claude_skills/human-centered-design-fundamentals"><img src="https://agentmods.dev/badge/skills/curiositech/some_claude_skills/human-centered-design-fundamentals.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00053 | $0.03534 |
| Opus 5 | $0.00026 | $0.01767 |
| Sonnet 5 | $0.00011 | $0.00707 |
| Haiku 4.5 | $0.00005 | $0.00353 |
Grade A, and why
human-centered-design-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 8d 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 — 367 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Human-Centered Design Fundamentals
Design products that accommodate actual human cognition and behavior rather than expecting humans to adapt to arbitrary system requirements.
When to Use
✅ Use for:
- Physical product design (doors, appliances, controls, tools)
- Digital interface design (software, touchscreens, dashboards)
- System design where human error is critical (medical devices, industrial controls, aircraft)
- Redesigning systems after repeated user errors
- Creating instructions and documentation
- Error prevention and safety-critical systems
❌ NOT for:
- Pure visual design without functional components
- Marketing and brand identity
- Autonomous systems with no human interaction
- Systems where users have unlimited training time and perfect memory
Core Process
Seven Stages of Action Decision Tree
START: User encounters system
│
├─→ Is this GOAL-DRIVEN (user has objective)?
│ ├─→ YES: Begin at Stage 1 (Form Goal)
│ │ ├─→ Can user identify what they want?
│ │ │ ├─→ NO: MISTAKE likely → Provide clear conceptual model
│ │ │ └─→ YES: Proceed to Stage 2
│ │ │
│ │ ├─→ Stage 2: Plan action sequence
│ │ │ ├─→ Are alternatives clear?
│ │ │ │ ├─→ NO: MISTAKE likely → Improve discoverability
│ │ │ │ └─→ YES: Proceed to Stage 3
│ │ │
│ │ ├─→ Stage 3: Specify action
│ │ │ ├─→ Is correct action obvious?
│ │ │ │ ├─→ NO: Gulf of Execution too wide → Add signifiers
│ │ │ │ └─→ YES: Proceed to Stage 4
│ │ │
│ │ └─→ Stage 4: Perform action
│ │ ├─→ Is user expert (subconscious execution)?
│ │ │ ├─→ YES: High SLIP risk → Add forcing functions
│ │ │ └─→ NO: Conscious execution → Provide clear affordances
│ │
└─→ Is this EVENT-DRIVEN (environmental trigger)?
└─→ YES: Begin at Stage 5 (Perceive state)
├─→ Stage 5: Perceive world state
│ ├─→ Is feedback immediate (<0.1s)?
│ │ ├─→ NO: Add immediate feedback
│ │ └─→ YES: Proceed to Stage 6
│
├─→ Stage 6: Interpret perception
│ ├─→ Does system state make sense?
│ │ ├─→ NO: Gulf of Evaluation too wide → Improve conceptual model
│ │ └─→ YES: Proceed to Stage 7
│
└─→ Stage 7: Compare with goal
├─→ Is outcome clear?
│ ├─→ NO: Add better feedback + conceptual model
│ └─→ YES: Action cycle complete
│
└─→ Goal achieved?
├─→ NO: Return to Stage 2 (new plan)
└─→ YES: END
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.
- 8d ago First seen · 367 lines · 53 tokens per session scan A fedc460583c4
human-centered-design-fundamentals is a skill published in the GitHub repository curiositech/some_claude_skills (219 stars, last pushed 5d ago), licensed MIT. It adds 53 tokens to every session and 3,534 once invoked, about $0.0003 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 2026-09-03.
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