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 inspiration-scoutinggit 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/inspiration-scouting)<a href="https://agentmods.dev/skills/owl-listener/designpowers/inspiration-scouting"><img src="https://agentmods.dev/badge/skills/owl-listener/designpowers/inspiration-scouting/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/inspiration-scouting"><img src="https://agentmods.dev/badge/skills/owl-listener/designpowers/inspiration-scouting.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 | $0.00041 | $0.01856 |
| Opus 5 | $0.00020 | $0.00928 |
| Sonnet 5 | $0.00008 | $0.00371 |
| Haiku 4.5 | $0.00004 | $0.00186 |
Grade A, and why
inspiration-scouting 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 — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Inspiration Scouting
The design-scout does competitive research — who else solves this problem and how. Inspiration scouting is different. It finds aesthetic and interaction references that shape the feel of the design, even when they come from completely different domains. A banking app can be inspired by a meditation app's calm. A children's education tool can borrow pacing from a well-designed game.
When to Use
- After design-discovery and design-strategy, before visual design begins
- When the design-lead needs a visual direction and wants reference material
- When the user says "show me some inspiration" or "what could this look like?"
- When the taste profile exists but the project needs a fresh direction within it
- When the team is stuck and needs outside input to break a creative block
Do Not Use When
- The user has already provided specific visual references — use those directly
- The design system is locked and visual direction is predetermined
- The task is a fix or iteration, not a new direction
Process
Step 1: Define the Inspiration Brief
Before searching, define what you're looking for:
## Inspiration Brief
**Project:** [Name and one-line description]
**Feel we're going for:** [2-3 adjectives — e.g., "calm, confident, playful"]
**Feel we're avoiding:** [2-3 adjectives — e.g., "clinical, childish, corporate"]
**Taste constraints:** [From taste profile — known preferences and anti-patterns]
**Domain:** [The project's domain — e.g., "pet care", "fintech", "education"]
**Cross-domain openness:** [How far outside the domain to look — same domain / adjacent / anywhere]
**Specific needs:** [e.g., "onboarding flow inspiration", "dashboard layout patterns", "empty state ideas"]
Step 2: Search Across Layers
Inspiration operates at multiple layers. Search each:
Visual Layer
- Colour: Palette approaches, colour psychology, brand colour usage
- Typography: Type pairing, scale, weight distribution, editorial vs UI
- Layout: Grid systems, density, whitespace philosophy, asymmetry
- Imagery: Photography style, illustration approach, iconography
- Surface: Texture, depth, glassmorphism, neumorphism, flat — what's appropriate
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 · 166 lines · 41 tokens per session scan A 1404d7ea5b7f
inspiration-scouting is a skill published in the GitHub repository Owl-Listener/designpowers (243 stars, last pushed 2mo ago), licensed MIT. It adds 41 tokens to every session and 1,856 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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