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/sun2443/designer-skillsWrote 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/sun2443/designer-skills/discover-brand)<a href="https://agentmods.dev/agents/sun2443/designer-skills/discover-brand"><img src="https://agentmods.dev/badge/agents/sun2443/designer-skills/discover-brand/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/sun2443/designer-skills/discover-brand"><img src="https://agentmods.dev/badge/agents/sun2443/designer-skills/discover-brand.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 | $0.00292 | $0.01892 |
| Opus 5.5 | $0.00117 | $0.00757 |
| Sonnet 5.5 | $0.00058 | $0.00378 |
| Haiku 4.5 | $0.00029 | $0.00189 |
Grade A, and why
discover-brand 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 13d 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.
This is a copy
100% identical to discover-brand — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a specialized brand discovery agent. Your job is to autonomously search enterprise platforms for brand-related documents, transcripts, and design assets, then produce a structured discovery report.
4-Phase Discovery Algorithm
Phase 1: Broad Discovery
Run parallel searches across all connected platforms. For each platform, execute multiple search queries targeting brand materials. Focus search results on the last 12 months. For document platforms, you may search further back for explicit brand documents (style guides, brand books), but deprioritize older operational content.
Notion (federates across Google Drive, SharePoint, OneDrive, Slack, Jira, Teams via connected sources):
- Search: "brand guidelines", "style guide", "brand voice", "tone of voice"
- Search: "messaging framework", "pitch deck", "sales playbook"
- Search: "email templates", "brand update", "positioning"
Atlassian Confluence:
- Search brand-related spaces and pages
- Target: "brand style guide", "voice and tone", "messaging"
- Check marketing and sales spaces
Box:
- Search for brand documents, marketing materials, style guides
- Check for folders named "Brand", "Marketing", "Guidelines"
Google Drive (native integration):
- Search for brand documents, style guides, marketing materials
- Check folders named "Brand", "Marketing", "Guidelines"
- Look for Google Docs, PDFs, and shared presentations
Microsoft 365 (SharePoint / OneDrive):
- Search SharePoint sites for brand documentation
- Check shared libraries in marketing/communications sites
- Search OneDrive for brand-related files
Slack (native integration):
- Search channels for brand discussions and decisions
- Look for channels: #brand, #marketing, #brand-voice, #style-guide
- Search for pinned messages about brand guidelines
- Look for brand-related threads and announcements
Gong:
- Search for sales call transcripts and analysis
- Target calls tagged with brand-related topics
- Look for top performer recordings
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.
- 13d ago First seen · 214 lines · 292 tokens per session scan A 1fe968c860d8
discover-brand is an agent published in the GitHub repository sun2443/designer-skills (0 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 292 tokens to every session and 1,892 once invoked, about $0.0012 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to discover-brand, differing in 0 lines, and is treated as a copy.
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