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 scott-fryxell/brayness --skill logo-findergit clone --depth 1 https://github.com/scott-fryxell/braynessWrote 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/scott-fryxell/brayness/logo-finder)<a href="https://agentmods.dev/skills/scott-fryxell/brayness/logo-finder"><img src="https://agentmods.dev/badge/skills/scott-fryxell/brayness/logo-finder/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/scott-fryxell/brayness/logo-finder"><img src="https://agentmods.dev/badge/skills/scott-fryxell/brayness/logo-finder.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 | $0.00049 | $0.01111 |
| Opus 5 | $0.00024 | $0.00556 |
| Sonnet 5 | $0.00010 | $0.00222 |
| Haiku 4.5 | $0.00005 | $0.00111 |
Grade A, and why
logo-finder scanned grade A with 1 finding 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 11d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Requires `curl` and `jq` (`brew install jq`). How it starts
The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Logo Finder (SVGL + Commons)
Download brand logos into a static asset folder. Prefer SVG (.svg); use PNG only when Commons/Wikipedia has no vector (e.g. Final Cut Pro).
Primary: SVGL API
Fallback: curated Wikimedia Commons rows in assets/commons-logos.tsv (see references/commons.md)
How files are created
SVGL
- Search -
GET https://api.svgl.app?search={product name} - Download -
GET https://api.svgl.app/svg/{filename} - Save -
{out_dir}/{slug}.svgwhereslugis lowercase-hyphenated (DaVinci Resolve->davinci-resolve).
Commons (when SVGL misses)
- Find SVG on Commons (or use a known file page, e.g. DaVinci Resolve 17 logo).
- Add
slug,upload_url, wiki link, andproduct_nametoassets/commons-logos.tsv. - Run
commons.shor pass the upload URL directly with--url.
Scripts
Requires curl and jq (brew install jq).
# SVGL - one logo
bash skills/logo-finder/scripts/logo.sh Figma path/to/brands/figma.svg
bash skills/logo-finder/scripts/logo.sh "Premiere Pro" --search
# SVGL - batch from a list (one brand per line)
bash skills/logo-finder/scripts/batch.sh skills/logo-finder/examples/sample-brands.txt path/to/brands
# Commons - manifest entry or direct upload URL
bash skills/logo-finder/scripts/commons.sh "DaVinci Resolve" path/to/brands/davinci-resolve.svg
bash skills/logo-finder/scripts/commons.sh --url 'https://upload.wikimedia.org/.../file.svg' path/to/brands/file.svg
Where to place logos - ask first
Never assume the output directory. Ask the user where logos should go before downloading. If they have no preference, propose a best-practice path based on the project's framework:
| Framework | Default path | Served as |
|---|---|---|
| Vite (Vue/React/Svelte) | public/brands/ |
/brands/{slug}.svg |
| Next.js | public/brands/ |
/brands/{slug}.svg |
| Astro | public/brands/ |
/brands/{slug}.svg |
| SvelteKit | static/brands/ |
/brands/{slug}.svg |
| Django/Flask | static/brands/ |
/static/brands/{slug}.svg |
| Rails | app/assets/images/brands/ |
asset pipeline |
What ships with it
13 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- assets/commons-logos.tsv 987 B
- examples/sample-brands.txt 171 B
- references/api-surface.md 1.5 KB
- references/common-use-cases.md 1.4 KB
- references/commons.md 2.8 KB
- references/examples.md 1.6 KB
- references/normalize-for-web.md 1.4 KB
- references/troubleshooting-workarounds.md 2.4 KB
- scripts/batch.sh 1.3 KB runs code
- scripts/commons.sh 2.3 KB runs code
- scripts/lib.sh 2.7 KB runs code
- scripts/logo.sh 1.9 KB runs code
- SOURCES.md 1.6 KB
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.
- 11d ago First seen · 88 lines · 49 tokens per session scan A d1228361b7a8
logo-finder is a skill published in the GitHub repository scott-fryxell/brayness (122 stars, last pushed 3d ago), licensed MIT. It adds 49 tokens to every session and 1,111 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
webgl-holographic-foil
A self-contained WebGL2 hero: thin-film interference over a crushed-foil surface whose palette shifts with the viewing angle; move the cursor to tilt the film.
html-ppt-hermes-cyber-terminal
OpenDesign + BYOK: choosing and wiring your own model, hands-on — cost, quality, and the routing decision. Built as a decision-grade AI literacy deck for engineers, IT, applied-AI teams.
html-ppt-taste-brutalist
16:9 HTML deck in tactical-telemetry / CRT-terminal taste. Deactivated-CRT charcoal slides, white-phosphor monospace, hazard-red accent, scanline overlay, ASCII syntax, density over decoration. Distilled from Leonxlnx/taste-skill brutalist-skill (Tactical Telemetry mode).
visual-ralph
Visual Ralph orchestration for frontend UI from generated references, static references, or live URL targets, using $ralph with built-in visual verdict and pixel-diff evidence until the implementation matches and leaves a reproducible design system.
accessibility
Consolidated accessibility skill entrypoint for WCAG 2.2, ARIA Authoring Practices, cognitive accessibility, Section 508, EN 301 549, design intent verification, and the Accessibility Planner workflow.
make-resume
A Chinese-language tool for creating editable HTML resumes that can be changed in a browser and printed to PDF. It uses available resume templates when they are installed and otherwise provides a simpler fallback.