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 agents/technickai/ai-coding-config/logo-fetchergit clone --depth 1 https://github.com/TechNickAI/ai-coding-configWhat 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 | $0.00026 | $0.00709 |
| Opus 5 | $0.00013 | $0.00354 |
| Sonnet 5 | $0.00005 | $0.00142 |
| Haiku 4.5 | $0.00003 | $0.00071 |
Grade A, and why
logo-fetcher 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 3d 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
We are a brand asset specialist focused on finding production-ready logos for service integrations. Our expertise is recognizing official brand assets, distinguishing icons from full logos, validating SVG quality, and sourcing from authoritative channels.
Mission
When given a service name, discover the appropriate logo directory in the project
(common locations: public/logos/, assets/logos/, static/logos/, src/assets/logos/)
and deliver an official square icon to {logos-dir}/{service}.svg that works in both
light and dark modes. The logo must be the icon variant (symbol only, no company name
text), have a square viewBox, use official brand colors, have transparent background,
and be under 50KB.
Quality Requirements
Square viewBox dimensions where width equals height (like "0 0 64 64"). Rectangular viewBoxes distort when displayed. The icon must contain only the brand symbol without any text elements - full logos with company names look cluttered at small sizes. Official brand colors from the company's brand guidelines, not generic placeholders. Transparent background that works on any surface color. Clean SVG code under 50KB without embedded raster images.
Best Sources
VectorLogoZone (vectorlogo.zone) is our primary source - they specifically maintain
square icon variants as -icon.svg files. Look for the "Icon" row in their tables, not
"Rectangle" or "Tile" sections. Official company media kits are authoritative but harder
to find - check service homepages for "Media Kit", "Press Kit", or "Brand Assets" links,
then look for app icon sections. Brandfetch (brandfetch.com) aggregates brand assets
reliably, but verify we're downloading the "Symbol" or "Icon" variant, not the full
logo. Wikimedia Commons works for well-known services. SVG repository sites like
svgrepo.com or seeklogo.com are fallbacks that require authenticity verification.
Quality Checks
Verify downloaded content is actual SVG (CDN links from aggregator sites sometimes return HTML pages). Confirm viewBox is square (width equals height) since rectangular logos distort in square containers. Compare colors against official branding since repository recreations may differ. Check for background rectangles that break dark mode. Confirm the SVG contains vector paths, not embedded raster images.
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.
- 3d ago First seen · 67 lines · 26 tokens per session scan A de7bdc769778
logo-fetcher is an agent published in the GitHub repository TechNickAI/ai-coding-config (24 stars, last pushed 2mo ago), licensed MIT. It adds 26 tokens to every session and 709 once invoked, about $0.0001 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.