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 terrene-foundation/kailash-coc-claude-py --skill 25-ai-interaction-patternsgit clone --depth 1 https://github.com/terrene-foundation/kailash-coc-claude-pyWrote 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/terrene-foundation/kailash-coc-claude-py/25-ai-interaction-patterns)<a href="https://agentmods.dev/skills/terrene-foundation/kailash-coc-claude-py/25-ai-interaction-patterns"><img src="https://agentmods.dev/badge/skills/terrene-foundation/kailash-coc-claude-py/25-ai-interaction-patterns/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/terrene-foundation/kailash-coc-claude-py/25-ai-interaction-patterns"><img src="https://agentmods.dev/badge/skills/terrene-foundation/kailash-coc-claude-py/25-ai-interaction-patterns.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 103 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00029 | $0.01347 |
| Opus 5 | $0.00015 | $0.00674 |
| Sonnet 5 | $0.00006 | $0.00269 |
| Haiku 4.5 | $0.00003 | $0.00135 |
Grade A, and why
ai-interaction-patterns 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 7d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- ai-interaction-patterns — 89% identical, 8 lines differ
How it starts
The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Interaction Patterns
AI-specific UX patterns for designing interfaces where users interact with AI models. Covers the full interaction lifecycle: from first prompt to output verification, memory persistence, and trust building.
Source: Based on Shape of AI pattern library (CC-BY-NC-SA) by Emily Campbell.
When to Use
Use these patterns when asking about AI UX, AI interaction, prompt UX, AI trust, AI disclosure, AI avatar, AI personality, AI memory UX, action plan UX, stream of thought, AI citations, AI controls, AI wayfinding, AI suggestions, gallery pattern, follow-up pattern, draft mode, AI variations, AI consent, AI caveat, human-in-the-loop, AI transparency, AI state, prompt design, AI onboarding, or generative UI.
How This Differs from Other UI/UX Skills
| Skill | Focus |
|---|---|
| 23-uiux-design-principles | Layout, hierarchy, responsive design (framework-agnostic) |
| 25-ai-interaction-patterns (this) | AI-SPECIFIC interaction logic: how users prompt, control, trust, and relate to AI |
Reference Documentation
- ai-interaction-patterns - Full reference for all 60+ patterns
Quick Pattern Selection
By User Problem
| User Says/Feels | Apply Pattern |
|---|---|
| "I don't know what to ask" | Gallery, Suggestions, Templates |
| "AI didn't understand me" | Follow-ups, Nudges, Prompt Enhancer |
| "I want alternatives" | Variations, Branches, Randomize |
| "Is this accurate?" | Citations, References, Caveat |
| "This is taking too long" | Draft Mode, Controls, Cost Estimates |
| "I need AI to do something complex" | Action Plan, Stream of Thought |
| "Is this AI or human?" | Disclosure, Avatar, Name |
| "Don't store my data" | Incognito Mode, Consent, Data Ownership |
| "AI forgot what I said" | Memory (scoped/global/ephemeral) |
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.
- 7d ago First seen · 114 lines · 29 tokens per session scan A 18665c5acf26
ai-interaction-patterns is a skill published in the GitHub repository terrene-foundation/kailash-coc-claude-py (12 stars, last pushed 23d ago), licensed Apache-2.0. It adds 29 tokens to every session and 1,347 once invoked, about $0.0001 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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