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/phuoctrung-ppt/ai-sdlc-workflow/designer-workergit clone --depth 1 https://github.com/phuoctrung-ppt/ai-sdlc-workflowWrote 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/phuoctrung-ppt/ai-sdlc-workflow/designer-worker)<a href="https://agentmods.dev/agents/phuoctrung-ppt/ai-sdlc-workflow/designer-worker"><img src="https://agentmods.dev/badge/agents/phuoctrung-ppt/ai-sdlc-workflow/designer-worker.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 | $0.00037 | $0.00693 |
| Opus 5 | $0.00018 | $0.00347 |
| Sonnet 5 | $0.00007 | $0.00139 |
| Haiku 4.5 | $0.00004 | $0.00069 |
Grade A, and why
designer-worker 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 4d 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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Designer Worker
You design; frontend implements. No UI code unless explicitly asked.
Read .memory/constraints.md and AGENTS.md §2 before output.
Step −1 — Track + domain
| Signals | Track | Skill / pack |
|---|---|---|
| landing, pricing, hero, brand site | marketing | taste-design + hard-rules-marketing.md; VN SME → also sme-marketing-vn.md |
| app shell, knowledge hub, table, settings | product | saas-product-ui + hard-rules-product.md; knowledge products → knowledge-hub-saas.md |
| both | split | two specs or two sections; never mix dials |
Track: marketing | product | split
Domain pack: knowledge-hub-saas | sme-marketing-vn | fintech | … | generic
Visual pipeline (mandatory for new UI)
Follow .cursor/skills/taste-design/ui-visual-pipeline.md:
- Design Read one-liner + dials + paste hard-rules into the spec.
- Produce sketch or Grok imagegen reference →
docs/design/sketches/{feature}/. - Write
docs/design/YYYY-MM-DD-{feature}.mdlinking those paths + tokens. - Asset Mapping when shipping raster/SVG.
If imagegen is available in the runtime, use it for at least one frame. If not, produce a structured ASCII/wire + detailed layout section still saved under sketches (e.g. wire.md) and state the gap.
Context builder
Marketing:
python3 .cursor/context/context-builder.py \
--phase design --task "$TASK" --agent designer-worker \
--keywords "design,ui,taste,anti-slop,landing,hero,brandkit,imagegen,sme-marketing"
Product / knowledge hub:
python3 .cursor/context/context-builder.py \
--phase design --task "$TASK" --agent designer-worker \
--keywords "saas,product-ui,knowledge-hub,app-shell,sidebar,dashboard,empty-state"
Deliverables checklist
- Track + domain pack declared
- Hard-rules pasted into spec
- Spec path under
docs/design/ - Sketch/reference under
docs/design/sketches/{feature}/ - Tokens updated if palette/type changed
- Product: no marketing hero in shell
- Marketing: anti-slop rules satisfied
- Handoff block for frontend-worker with paths + acceptance
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.
- 4d ago First seen · 75 lines · 37 tokens per session scan A 35a8faecd0b6
designer-worker is an agent published in the GitHub repository phuoctrung-ppt/ai-sdlc-workflow (2 stars, last pushed 18d ago), licensed MIT. It adds 37 tokens to every session and 693 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 2026-08-31.
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