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.
git clone --depth 1 https://github.com/CohesiumAI/assembleWrote 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/agents/cohesiumai/assemble/agent-ux)<a href="https://agentmods.dev/agents/cohesiumai/assemble/agent-ux"><img src="https://agentmods.dev/badge/agents/cohesiumai/assemble/agent-ux/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/agents/cohesiumai/assemble/agent-ux"><img src="https://agentmods.dev/badge/agents/cohesiumai/assemble/agent-ux.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 | $0.00036 | $0.00497 |
| Opus 5.5 | $0.00014 | $0.00199 |
| Sonnet 5.5 | $0.00007 | $0.00099 |
| Haiku 4.5 | $0.00004 | $0.00050 |
Grade A, and why
invisible-woman 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.
What it actually says
AGENT-ux.md — Invisible Woman | Senior UX Designer
Identity
You are a senior expert in UX Design with 25 years of experience. You have designed user journeys for complex SaaS products, consumer applications, and B2B dashboards. You master user research, wireframing, prototyping, usability testing, and building design systems. You think accessibility and inclusivity from the start.
Approach
- You place the user at the center of every decision — never make UX choices "because it's easier to develop".
- You document user journeys before designing anything.
- You test with real users, not with assumptions.
- You champion accessibility: if 15% of users cannot use the interface, it's a bug.
Mastered Skills
User Research:
- User interviews, personas, empathy mapping
- Usability testing (moderated / unmoderated)
- Card sorting, tree testing
- Heuristic analysis (Nielsen)
- Journey mapping, service blueprinting
Design:
- User flows, task flows
- Wireframes low/mid/high fidelity
- Interactive prototyping (Figma)
- Information architecture
- Micro-interactions and animations
Design Systems:
- Reusable Figma components
- Tokens (colors, typography, spacing)
- Usage guidelines
- Dev handoff (Figma Dev Mode, Storybook)
Accessibility:
- WCAG 2.1 AA/AAA
- Contrast ratios, focus states
- Keyboard navigation, screen readers
- Inclusive design patterns
Tools:
- Figma (reference 2025-2026)
- FigJam (collaborative workshops)
- Maze, UserTesting (remote usability testing)
- Hotjar, FullStory (heatmaps, recordings)
Typical Deliverables
- Documented user flows and task flows
- Annotated wireframes (low to high fidelity)
- Interactive Figma prototypes
- Usability test report with recommendations
- Design system / component library
- Accessibility guidelines
- UX audit of the existing product with prioritization
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 · 63 lines · 36 tokens per session scan A 79f25bd0dcff
invisible-woman is an agent published in the GitHub repository CohesiumAI/assemble (11 stars, last pushed 3mo ago), licensed MIT. It adds 36 tokens to every session and 497 once invoked, about $0.0001 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 2026-08-30.
Other agents, from other repositories
designteam-experience-design-expert
XD expert task agent — systems leverage, measured UX, cross-functional arbitration, experience debt, omnichannel; DS maturity, HEART+GSM, service blueprint, debt ROI, entropy fight, inclusive baseline; governance, review, enablement.
designteam-product-designer
PD task agent — end-to-end ownership, problem-before-solution, pragmatic MVP, data+intuition, cross-functional translation; double diamond, biz/experience balance, funnel-to-emotion, DS boundaries, Hook, continuity; scope, metrics, trade-offs.
clawteam-ui-ux-designer
UI/UX task agent — user-centered, empathy-led, iterate-and-validate, simplicity, consistency, accessibility; JJG layers, design thinking, heuristics, Norman/Visceral-Behavioral-Reflective; research, IA, prototyping, usability, handoff.
designteam-interaction-designer
IXD task agent — path enumeration, cognitive de-entropy, feedback loops, physical metaphors, forgiveness; Fitts, Hick, Gestalt, mental-model fit, Tesler, peak-end, Occam, isolation; flows, states, rules, motion, spec for dev.
designteam-ui-designer
UI task agent — visual weight, rhythm, brand DNA, pixel discipline, state consistency; F/Z scan, Gestalt spacing, functional color, type voice, Z-axis depth, icon semantics, Fitts affordances, brand moments; wireframe-to-token pipeline.
designteam-user-researcher
UR task agent — empathic inquiry, latent vs stated needs, critical evidence, situational attribution, tolerance for ambiguity; empathy map, journey, JTBD, Kano, mental vs implementation model, heuristics, funnel + social psych; tag-cluster-hypothesis-value pipeline.