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 tranhieutt/software_development_department --skill team-uigit clone --depth 1 https://github.com/tranhieutt/software_development_departmentWrote 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/tranhieutt/software_development_department/team-ui)<a href="https://agentmods.dev/skills/tranhieutt/software_development_department/team-ui"><img src="https://agentmods.dev/badge/skills/tranhieutt/software_development_department/team-ui/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/tranhieutt/software_development_department/team-ui"><img src="https://agentmods.dev/badge/skills/tranhieutt/software_development_department/team-ui.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 | $0.00048 | $0.00781 |
| Opus 5 | $0.00024 | $0.00391 |
| Sonnet 5 | $0.00010 | $0.00156 |
| Haiku 4.5 | $0.00005 | $0.00078 |
Grade A, and why
team-ui 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
When this skill is invoked, orchestrate the UI team through a structured pipeline.
Decision Points: At each phase transition, use AskUserQuestion to present
the user with the subagent's proposals as selectable options. Write the agent's
full analysis in conversation, then capture the decision with concise labels.
The user must approve before moving to the next phase.
Team Composition
- ux-designer — User flows, wireframes, accessibility, interaction patterns
- ui-programmer — UI framework, screens, components, data binding, implementation
How to Delegate
Use the Task tool to spawn each team member as a subagent:
subagent_type: ux-designer— User flows, wireframes, accessibility, interaction patternssubagent_type: ui-programmer— UI framework, screens, components, data binding
Always provide full context in each agent's prompt (feature requirements, existing UI patterns, platform targets). Launch independent agents in parallel where the pipeline allows it (e.g., Phase 4 review agents can run simultaneously).
Pipeline
Phase 1: UX Design
Delegate to ux-designer:
- Define the user flow for this feature (entry points, states, exit points)
- Create wireframes for each screen/state
- Specify interaction patterns: how does keyboard/mouse AND gamepad navigate this?
- Define accessibility requirements: text sizes, contrast, colorblind safety
- Identify data the UI needs to display (what application state does it read?)
- Output: UX spec with wireframes and interaction map
Phase 2: Visual Design
Delegate to ui-programmer (styling phase):
- Review wireframes and translate to design tokens (colors, typography, spacing)
- Define visual treatment following the product design system
- Specify any assets needed (icons, illustrations)
- Ensure consistency with existing UI screens
- Output: visual design spec with style notes
Phase 3: Implementation
Delegate to ui-programmer:
- Implement the UI following the UX spec and visual design
- Ensure UI NEVER owns or modifies application state — display only, events for actions
- All text through i18n/localization system — no hardcoded strings
- All interactive elements must be keyboard accessible
- Implement WCAG 2.1 AA accessibility (ARIA labels, focus management, contrast)
- Wire up data binding to application state
- Output: implemented UI feature
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 · 81 lines · 48 tokens per session scan A b8dbe44ad226
team-ui is a skill published in the GitHub repository tranhieutt/software_development_department (72 stars, last pushed 4mo ago), licensed MIT. It adds 48 tokens to every session and 781 once invoked, about $0.0002 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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