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 Owl-Listener/designpowers --skill design-debategit clone --depth 1 https://github.com/Owl-Listener/designpowersWrote 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/owl-listener/designpowers/design-debate)<a href="https://agentmods.dev/skills/owl-listener/designpowers/design-debate"><img src="https://agentmods.dev/badge/skills/owl-listener/designpowers/design-debate/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/owl-listener/designpowers/design-debate"><img src="https://agentmods.dev/badge/skills/owl-listener/designpowers/design-debate.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 | $0.00044 | $0.01827 |
| Opus 5 | $0.00022 | $0.00914 |
| Sonnet 5 | $0.00009 | $0.00365 |
| Haiku 4.5 | $0.00004 | $0.00183 |
Grade A, and why
design-debate 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 9d 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 — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Design Debate
Good design decisions come from tension, not consensus. When agents converge too quickly, they optimise for agreement instead of the best answer. This skill creates productive conflict — agents argue for competing directions with real trade-offs, and the user decides.
When to Use
- When the design-strategist identifies multiple viable directions
- When the design-lead proposes a visual direction and alternatives exist
- When the user says "I'm not sure which way to go" or "what are my options?"
- When the design-critic recommends "rethink" — a debate can surface the better path
- When a decision has significant downstream consequences (navigation pattern, layout model, interaction paradigm)
- When the user explicitly asks for a debate: "debate this", "argue both sides", "what are the trade-offs?"
Do Not Use When
- The decision is trivial (icon choice, exact padding value)
- Accessibility requirements dictate the answer — there is nothing to debate
- The user has already made up their mind — respect their direction
- The brief clearly specifies the approach — follow it
Process
Step 1: Frame the Question
Define the design question precisely. A debate without a clear question produces noise.
Format:
DESIGN QUESTION: [Specific, answerable question]
CONTEXT: [Brief context from design-state.md]
CONSTRAINTS: [Non-negotiable requirements from brief, accessibility, taste profile]
STAKES: [Why this decision matters — what it affects downstream]
Example:
DESIGN QUESTION: Should the onboarding flow use a multi-step wizard or a single scrollable page?
CONTEXT: App for first-time pet owners, ages 25-45. Primary persona has mild anxiety about "doing it right."
CONSTRAINTS: Must be completable in under 3 minutes. Must work on mobile. Must not require account creation upfront.
STAKES: Sets the interaction pattern for all future multi-step flows in the app.
Step 2: Assign Advocates
Select 2-3 agents to argue for different directions. Each agent argues FOR their assigned position — they are advocates, not neutral analysts.
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.
- 9d ago First seen · 200 lines · 44 tokens per session scan A 4d1cc049d556
design-debate is a skill published in the GitHub repository Owl-Listener/designpowers (243 stars, last pushed 2mo ago), licensed MIT. It adds 44 tokens to every session and 1,827 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.
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