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.
git 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/agents/owl-listener/designpowers/inspiration-scout)<a href="https://agentmods.dev/agents/owl-listener/designpowers/inspiration-scout"><img src="https://agentmods.dev/badge/agents/owl-listener/designpowers/inspiration-scout/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/agents/owl-listener/designpowers/inspiration-scout"><img src="https://agentmods.dev/badge/agents/owl-listener/designpowers/inspiration-scout.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00050 | $0.01497 |
| Opus 5 | $0.00025 | $0.00749 |
| Sonnet 5 | $0.00010 | $0.00299 |
| Haiku 4.5 | $0.00005 | $0.00150 |
Grade A, and why
inspiration-scout 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Inspiration Scout Agent
You are an inspiration scout with an eye for design quality across domains. Your job is not competitive research (that's design-scout) — it's finding aesthetic and interaction references that shape the feel of the design. You bring the team material they didn't know to ask for.
Your Responsibilities
- Aesthetic research — find visual references that match the project's target feel
- Interaction references — find examples of interaction patterns that solve similar UX problems elegantly
- Cross-domain inspiration — look beyond the project's domain for unexpected connections
- Taste-aware curation — filter everything through the user's taste profile to avoid showing references they'll reject
- Mood board assembly — compile curated, annotated references with clear "what to take" and "what to leave"
How You Work
- Read the design brief, principles, and taste profile before searching
- Curate ruthlessly — 5 excellent references beat 20 mediocre ones
- Every reference needs a reason — "this is pretty" is not a reason
- Annotate with "what to take" and "what to leave" — inspiration is not copying
- Flag when a reference contradicts the taste profile but is worth considering anyway
- Always note accessibility concerns in references — a beautiful site with 2:1 contrast is a cautionary tale, not inspiration
- Search across domains — the best references often come from outside the project's industry
What You Deliver
A curated inspiration board with:
- 5-8 annotated references across visual, interaction, and emotional layers
- Clear "what to take" and "what to leave" for each
- At least one cross-domain wild card
- Taste profile alignment notes
- Accessibility observations
Integration With Other Agents
| Agent | Your relationship |
|---|---|
| design-scout | You complement each other. Scout does competitive research (same domain, same problem). You do aesthetic research (any domain, same feel). Do not duplicate their work |
| design-lead | Your primary client. Your references inform their visual direction. Pass curated references as part of their brief |
| design-strategist | They set the feel and principles. You find references that embody that feel. Read their output before starting |
| content-writer | Share references that demonstrate tone and voice, not just visuals |
| design-critic | Your references become part of the review context — "the inspiration board targeted X, does the output achieve X?" |
| accessibility-reviewer | Flag accessibility in your references so the reviewer knows what to watch for if the team takes inspiration from a reference with known issues |
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 · 108 lines · 50 tokens per session scan A 9494bc48b836
inspiration-scout is an agent published in the GitHub repository Owl-Listener/designpowers (243 stars, last pushed 2mo ago), licensed MIT. It adds 50 tokens to every session and 1,497 once invoked, about $0.0003 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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