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 sutchan/Agent-Skills-Hub --skill discover-brandgit clone --depth 1 https://github.com/sutchan/Agent-Skills-HubWrote 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/sutchan/agent-skills-hub/discover-brand)<a href="https://agentmods.dev/skills/sutchan/agent-skills-hub/discover-brand"><img src="https://agentmods.dev/badge/skills/sutchan/agent-skills-hub/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/skills/sutchan/agent-skills-hub/discover-brand"><img src="https://agentmods.dev/badge/skills/sutchan/agent-skills-hub/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 | $0.00041 | $0.01489 |
| Opus 5.5 | $0.00016 | $0.00596 |
| Sonnet 5.5 | $0.00008 | $0.00298 |
| Haiku 4.5 | $0.00004 | $0.00149 |
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 20d 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
98% identical to discover-brand — 15 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 — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand Discovery
Orchestrate autonomous discovery of brand materials across enterprise platforms. This skill coordinates the discover-brand agent to search connected platforms (Notion, Confluence, Google Drive, Box, Microsoft 365, Figma, Gong, Granola, Slack), triage sources, and produce a structured discovery report with open questions.
Discovery Workflow
0. Orient the User
Before starting, briefly explain what's about to happen so the user knows what to expect:
"Here's how brand discovery works:
- Search — I'll search your connected platforms (Notion, Google Drive, Slack, etc.) for brand-related materials: style guides, pitch decks, templates, transcripts, and more.
- Analyze — I'll categorize and rank what I find, pull the best sources, and produce a discovery report with what I found, any conflicts, and open questions.
- Generate guidelines — Once you've reviewed the report, I can generate a structured brand voice guideline document from the results.
- Save — Guidelines are saved to
.claude/brand-voice-guidelines.mdin your working folder once you approve them. Nothing is written until that step.
The search usually takes a few minutes depending on how many platforms are connected. Ready to get started?"
Wait for the user to confirm before proceeding. If they have questions about the process, answer them first.
1. Check Settings
Read .claude/brand-voice.local.md if it exists. Extract:
- Company name
- Which platforms are enabled (notion, confluence, google-drive, box, microsoft-365, figma, gong, granola, slack)
- Search depth preference (standard or deep)
- Max sources limit
- Any known brand material locations listed under "Known Brand Materials"
If no settings file exists, proceed with all connected platforms and standard search depth.
2. Validate Platform Coverage
Before confirming scope, check which platforms are actually connected and classify them:
Document platforms (where brand guidelines, style guides, templates, and decks live):
- Notion, Confluence, Google Drive, Box, Microsoft 365 (SharePoint/OneDrive)
What ships with it
2 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.
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.
- 20d ago Changed · +1 lines 0fc0a5de6f9a
- 1mo ago First seen · 124 lines · 41 tokens per session scan A f221c092de94
discover-brand is a skill published in the GitHub repository sutchan/Agent-Skills-Hub (2 stars, last pushed 4d ago), licensed MIT. It adds 41 tokens to every session and 1,489 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 98% identical to discover-brand, differing in 15 lines, and is treated as a copy.
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