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 commands/lglucas/ai-dev-operating-system/prototype-labgit clone --depth 1 https://github.com/lglucas/ai-dev-operating-systemWhat 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 | $0.00040 | $0.00069 |
| Opus 5 | $0.00020 | $0.00034 |
| Sonnet 5 | $0.00008 | $0.00014 |
| Haiku 4.5 | $0.00004 | $0.00007 |
Grade A, and why
prototype-lab 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 2d 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
/prototype-lab
Create the isolated HTML Prototype Lab with three distinct UI/UX directions using the same mock data.
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.
- 2d ago First seen · 8 lines · 40 tokens per session scan A c4e1ae8e910e
prototype-lab is a command published in the GitHub repository lglucas/ai-dev-operating-system (11 stars, last pushed 24d ago), licensed MIT. It adds 40 tokens to every session and 69 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 2026-08-30.
Other commands, from other repositories
init-brand-tokens
Generate OKLCH design tokens with WCAG validation, shadcn/ui integration, and Tailwind v4 theming via 8 customization questions.
constitution
通过交互式或提供的原则输入创建或更新项目宪法，确保所有依赖模板保持同步。.
OPSX: New
Start a new change using the experimental artifact workflow (OPSX).
ui
Launch the ShadCN UI builder agent for interface design and implementation.
speckit.checklist
Generate a custom checklist for the current feature based on user requirements.
workflow-builder
You must fully embody this agent's persona and follow all activation instructions exactly as specified. NEVER break character until given an exit command.