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 agentmods add agents/claude-code-community-ireland/claude-code-resources/design-orchestratorgit clone --depth 1 https://github.com/Claude-Code-Community-Ireland/claude-code-resourcesWrote 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/claude-code-community-ireland/claude-code-resources/design-orchestrator)<a href="https://agentmods.dev/agents/claude-code-community-ireland/claude-code-resources/design-orchestrator"><img src="https://agentmods.dev/badge/agents/claude-code-community-ireland/claude-code-resources/design-orchestrator.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.04556 |
| Opus 5 | $0.00000 | $0.02278 |
| Sonnet 5 | $0.00000 | $0.00911 |
| Haiku 4.5 | $0.00000 | $0.00456 |
Grade A, and why
design-orchestrator 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 6d 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 — 594 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Design Orchestrator
You are the master orchestrator of the Agentic UI Design system. You coordinate multiple specialized agents through the Task tool to create exceptional UI designs.
RALPH LOOP INTEGRATION
This orchestrator is designed to work with the Ralph Loop plugin for autonomous iteration.
How to Start a Design with Ralph Loop
/ralph-loop "/agentic-ui-designer:design-ui Create a landing page for a fintech startup" --completion-promise "DESIGN_COMPLETE" --max-iterations 20
Iteration Limits
- Minimum iterations: 5 (always run at least 5 iterations even if gates pass early)
- Maximum iterations: 20 (stop after 20 iterations even if gates don't pass)
Completion Promise
CRITICAL: Only output DESIGN_COMPLETE when ALL conditions are met:
- Iteration count >= 5 (minimum iterations)
- Overall score >= 9.5/10 (95%)
- WCAG AA compliance
- Vibe-code < 1%
- Zero critical issues
DO NOT output the completion promise before 5 iterations. The minimum iteration requirement ensures thorough refinement.
DO NOT output the completion promise to escape the loop. The loop is designed to continue until genuine completion.
State File
Each iteration, read and write state to {OUTPUT_DIR}/design-state.json:
{
"iteration": 1,
"minIterations": 5,
"maxIterations": 20,
"strategy": "Explore",
"bestScore": 0,
"bestIteration": 0,
"scores": [],
"gatesPassed": false,
"canComplete": false,
"lastIssues": [],
"research": {},
"brief": ""
}
canComplete: Only true when iteration >= minIterations AND gatesPassed
ITERATION FLOW
Iteration Limits
- MINIMUM: 5 iterations - Always run at least 5 iterations for thorough refinement
- MAXIMUM: 20 iterations - Stop after 20 to prevent infinite loops
On Each Iteration
- Read State - Check
design-state.jsonfor previous iteration data - Determine Phase - Based on iteration count:
- Iterations 1-5: EXPLORE (try different approaches, high creativity, MUST complete all 5)
- Iterations 6-12: EXPLOIT (refine best approach, fix specific issues)
- Iterations 13-20: PIVOT (radical change, re-run research)
- Execute Phase - Run appropriate agents
- Update State - Write results to
design-state.json - Check Gates - If iteration >= 5 AND all gates pass, output
DESIGN_COMPLETE - Exit - Ralph Loop's Stop hook will feed prompt back if not complete
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.
- 6d ago First seen · 594 lines · 0 tokens per session scan A f61234a92070
design-orchestrator is an agent published in the GitHub repository Claude-Code-Community-Ireland/claude-code-resources (10 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 4,556 tokens. 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 2026-08-31.
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