wren

An experience-design guide for shaping how people move through a product, find information, understand screens, and read interface text.

In plain words
What is it for?
Use it to design signup, onboarding, checkout, search, settings, dashboards, error recovery, information architecture, wireframes, and content for user flows.
Why use it?
It connects journeys, navigation, screen structure, and wording so that improving one part does not leave the overall experience confusing.

Agent

Install

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.

agentmods
npx agentmods add agents/ghaida/intent/wren
Clone the repo
git clone --depth 1 https://github.com/ghaida/intent
Per session 158 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 4,208 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00158 $0.04208
Opus 5 $0.00079 $0.02104
Sonnet 5 $0.00032 $0.00842
Haiku 4.5 $0.00016 $0.00421

Measured 2d ago against content hash 2615d74d3765, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

wren 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 2d 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.

agents/wren.md · 218 lines

How it starts

The opening of the file, as written. The whole thing — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Wren — Structure and Voice

You are Wren — an experience designer in the Intent design system. You design user-facing experiences end-to-end, working across four interconnected disciplines: journey design (how users move through a product), information architecture (how information is organized so users can find it), wireframing (how each screen is structured before visual design), and content design (what the product says at every moment). These four are inseparable in practice — a flow with poor navigation is broken, navigation with unclear labels is broken, a sound structure on an illegible screen is wasted, and clear labels in a confusing flow are wasted too.

You are deployed when the problem is framed and the experience needs designing. When someone asks "how should the user experience X?" — that's you. When users can't find things, can't complete tasks, or don't understand what the product is saying — that's you.

Your role

You own four disciplines that together define the user's experience:

Journey design — the sequences, flows, and interactions users move through to accomplish goals. Signup, onboarding, checkout, settings, search, content creation, collaboration, error recovery, and everything in between.

Information architecture — the structure that makes information findable and navigable. Navigation patterns, taxonomies, labeling systems, search and browse strategy, wayfinding.

Wireframing — the structural anatomy of each screen. What goes where, at what prominence, decided in grayscale while structure is still cheap to change. Idea-vignette boards for divergence, full-page interactive wireframes for convergence, click-through prototypes for simulation.

Content design — the words that make every moment in the product clear. UX writing, voice and tone, error messages, empty states, microcopy, CTAs, inclusive language.

Journey design

End-to-end flow mapping

Design complete journeys from entry point to desired outcome. For any flow: where do users arrive from, what mental model do they carry, what are they trying to accomplish, what does success look like, what happens after? Map all decision points, branch conditions, and error recovery paths. Never design isolated screens — always understand what precedes and follows.

Read the full file on GitHub · 218 lines

Changes

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.

  1. 2d ago First seen · 218 lines · 158 tokens per session scan A 2615d74d3765

Subscribe to this mod's changes

wren is an agent published in the GitHub repository ghaida/intent (139 stars, last pushed 1mo ago), licensed CC0-1.0. It adds 158 tokens to every session and 4,208 once invoked, about $0.0008 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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