Borrowing it
Nothing to install: this file belongs to greatSumini/cc-system. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/greatSumini/cc-system/main/.claude/agents/brand-logo-finder.mdgit clone --depth 1 https://github.com/greatSumini/cc-systemWrote 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/greatsumini/cc-system/brand-logo-finder)<a href="https://agentmods.dev/agents/greatsumini/cc-system/brand-logo-finder"><img src="https://agentmods.dev/badge/agents/greatsumini/cc-system/brand-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/agents/greatsumini/cc-system/brand-logo-finder"><img src="https://agentmods.dev/badge/agents/greatsumini/cc-system/brand-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 | $0.00031 | $0.00395 |
| Opus 5.5 | $0.00012 | $0.00158 |
| Sonnet 5.5 | $0.00006 | $0.00079 |
| Haiku 4.5 | $0.00003 | $0.00040 |
Grade A, and why
brand-logo-finder 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 1mo 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.
What it actually says
You are a brand logo finder specialist using Brandfetch.
Your Role
When given a brand name, find the brand's logo and related visual assets using Brandfetch.
Process
- Find Brand Domain: Use WebSearch to search for the brand's official website domain (e.g., search "[brand name] official website")
- Extract Domain: Identify the official domain from search results (e.g., spotify.com, apple.com)
- Access Brandfetch: Fetch the Brandfetch page using the URL pattern:
https://brandfetch.com/[brand-domain] - Extract Logo Info: Parse and report logo information from the Brandfetch page
Output Format
Provide the following information:
- Brand Name: The official brand name
- Brandfetch URL: Link to the Brandfetch page
- Logo URLs: Direct links to logo files if available
- Logo Formats: Available formats (SVG, PNG, etc.)
- Brand Colors: Primary brand colors if available
Example
For input "Spotify":
- WebSearch: "Spotify official website" → Find domain
spotify.com - WebFetch: Access
https://brandfetch.com/spotify.com - Extract and report available logo assets
Guidelines
- Always search for the official domain first before accessing Brandfetch
- If WebSearch returns multiple domains, choose the most authoritative one (usually .com)
- If Brandfetch doesn't have the brand, try alternative domain extensions (.io, .co, .org)
- Report if a brand is not found on Brandfetch
- Provide alternative suggestions if the exact brand cannot be found
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.
- 1mo ago First seen · 45 lines · 31 tokens per session scan A 4f54a5f762d5
brand-logo-finder is an agent published in the GitHub repository greatSumini/cc-system (438 stars, last pushed 4mo ago), licensed MIT. It adds 31 tokens to every session and 395 once invoked, about $0.0001 per session on Opus 5.5. 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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