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 modu-ai/moai-cowork --skill design-iteration-loopgit clone --depth 1 https://github.com/modu-ai/moai-coworkWrote 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/modu-ai/moai-cowork/design-iteration-loop)<a href="https://agentmods.dev/skills/modu-ai/moai-cowork/design-iteration-loop"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-cowork/design-iteration-loop/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/modu-ai/moai-cowork/design-iteration-loop"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-cowork/design-iteration-loop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00136 | $0.02631 |
| Opus 5.5 | $0.00054 | $0.01052 |
| Sonnet 5.5 | $0.00027 | $0.00526 |
| Haiku 4.5 | $0.00014 | $0.00263 |
Grade A, and why
design-iteration-loop 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 18d 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 — 266 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MoAI-ADK 프로젝트에서는
.moai/config/sections/design.yaml과 기존 스프린트 산출물을 읽는다. Claude Cowork·ChatGPT Work 데스크톱에서는 사용자가 제공한 브리프와 실제 시안으로 같은 평가 항목을 점검할 수 있다. 설정 파일이나 검사 도구가 없으면 그 항목을 미검증으로 기록하고 점수나 PASS를 만들어 내지 않는다.
design-iteration-loop
Implements the Builder-Evaluator GAN loop for iterative design quality improvement. Absorbed from the retired v2.x design constitution Section 11 and Section 12 (per the design constitution absorption policy). Integrates Sprint Contract Protocol, 4-dimension scoring, stagnation detection, and Evaluator Leniency Prevention.
In a MoAI-ADK project, read loop parameters from .moai/config/sections/design.yaml; the values below describe the current project configuration and are not portable defaults. In a desktop conversation without that file, agree on criteria with the user and report observations without inventing thresholds.
Quick Reference
Loop Parameters (from design.yaml)
design.gan_loop:
max_iterations: 5 # Maximum Builder-Evaluator cycles
pass_threshold: 0.75 # Score >= this value to exit loop
escalation_after: 3 # Escalate to user after N iterations without passing
improvement_threshold: 0.05 # Minimum score delta per iteration
strict_mode: false # If true, each must-pass criterion must pass individually
sprint_contract:
enabled: true
required_harness_levels: [thorough]
optional_harness_levels: [standard]
artifact_dir: ".moai/sprints"
max_negotiation_rounds: 2
4-Dimension Evaluation
| Dimension | Description |
|---|---|
| Design Quality | Visual consistency, supplied brand token compliance, measured contrast |
| Originality | Brand-specific expression against the supplied brief |
| Completeness | Requested BRIEF sections present, copy matches the agreed text |
| Functionality | Observed responsive behavior and tested interactions |
The current design.yaml does not define weights for these dimensions. Do not present 30/25/25/20 or any other split as configured. The ADK evaluator owns the overall score; cite its actual rubric and result. In a standalone desktop review, report each observed dimension and gaps without a synthetic overall score.
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.
- 18d ago Changed · +1 lines 20bdc6ce61bd
- 29d ago Changed 30dada1c2878
- 1mo ago First seen · 265 lines · 136 tokens per session scan A 911553ca95d9
design-iteration-loop is a skill published in the GitHub repository modu-ai/moai-cowork (311 stars, last pushed 16d ago), licensed Apache-2.0. It adds 136 tokens to every session and 2,631 once invoked, about $0.0005 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 2026-09-03.
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