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 dalroot/agentic-seo --skill brand-protectiongit clone --depth 1 https://github.com/dalroot/agentic-seoWrote 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/dalroot/agentic-seo/brand-protection)<a href="https://agentmods.dev/skills/dalroot/agentic-seo/brand-protection"><img src="https://agentmods.dev/badge/skills/dalroot/agentic-seo/brand-protection/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/dalroot/agentic-seo/brand-protection"><img src="https://agentmods.dev/badge/skills/dalroot/agentic-seo/brand-protection.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 | $0.00065 | $0.02156 |
| Opus 5.5 | $0.00026 | $0.00862 |
| Sonnet 5.5 | $0.00013 | $0.00431 |
| Haiku 4.5 | $0.00006 | $0.00216 |
Grade A, and why
brand-protection 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 today.
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 — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Strategy: Brand Protection
Guides discovery, reporting, and prevention of brand impersonation—fake websites, phishing sites, trademark infringement, and domain squatting. See domain-selection for defensive domain registration; trust-badges for official site verification signals; about-page for identity declaration.
When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
Initial Assessment
Check for project context first: If .claude/project-context.md or .cursor/project-context.md exists, read it for brand name, official domain, and key assets.
Identify:
- Impersonation type: Fake website, phishing, trademark misuse, domain squatting
- Evidence available: Screenshots, URLs, WHOIS, hosting info
- Legal assets: Registered trademark, copyright ownership
- Impact: Traffic interception (fake site ranks for brand queries)? Payment fraud (users pay on fake site, then contact official support)?
Evidence Collection Checklist
| Item | Action |
|---|---|
| Full URLs | Document all key pages of the fake site |
| Screenshots | Homepage, product pages, logo, layout; include date/time |
| Comparison | Side-by-side: official vs fake (layout, logo, copy similarity) |
| WHOIS | Use ICANN Lookup for registrar, creation date, registrant |
| Hosting | IP lookup to identify hosting provider |
Reporting Channels (Priority Order)
| Channel | Entry | Use Case |
|---|---|---|
| Domain registrar | Abuse / Report Misuse on registrar site | Brand impersonation, trademark, fraud |
| Hosting provider | Same; submit abuse form | Hosting infringing content |
| Google Safe Browsing | Report Phishing | Phishing / impersonation risk |
| Google Trademark | Trademark Complaint or [email protected] | Trademark infringement in search; requires registered trademark |
| Bing Content Removal | Content Moderation Platform | Copyright/trademark; content removal from Bing |
| Payment processors | PayPal Resolution Center, Stripe support | If fake site accepts payments; report fraud |
| Social platforms | X, Facebook, Instagram abuse forms | If fake site is promoted or linked there |
| Google Ads / Microsoft Ads | Platform trademark complaint forms | If impersonator runs brand ads |
| DMCA | To hosting provider | Copyright infringement; images, copy, design copied |
| ICANN | DNS Abuse complaint | If registrar does not respond within reasonable time |
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.
- today First seen · 159 lines · 65 tokens per session scan A cc13ab1edc07
brand-protection is a skill published in the GitHub repository dalroot/agentic-seo (25 stars, last pushed 6d ago), licensed MIT. It adds 65 tokens to every session and 2,156 once invoked, about $0.0003 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 2026-10-26.
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