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 lionkiii/claude-seo-skills --skill seo-brand-radargit clone --depth 1 https://github.com/lionkiii/claude-seo-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/skills/lionkiii/claude-seo-skills/seo-brand-radar)<a href="https://agentmods.dev/skills/lionkiii/claude-seo-skills/seo-brand-radar"><img src="https://agentmods.dev/badge/skills/lionkiii/claude-seo-skills/seo-brand-radar/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/lionkiii/claude-seo-skills/seo-brand-radar"><img src="https://agentmods.dev/badge/skills/lionkiii/claude-seo-skills/seo-brand-radar.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 | $0.00088 | $0.01534 |
| Opus 5 | $0.00044 | $0.00767 |
| Sonnet 5 | $0.00018 | $0.00307 |
| Haiku 4.5 | $0.00009 | $0.00153 |
Grade C, and why
seo-brand-radar scanned grade C with 2 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 12d 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
- Verify with: cat ~/.claude/mcp.json | grep -i ahrefs Reads MCP configurationmediumAgent snooping
mcp.json carries server URLs and auth tokens; reading it lets a mod discover and abuse other integrations.
- Verify with: cat ~/.claude/mcp.json | grep -i ahrefs How it starts
The opening of the file, as written. The whole thing — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand Radar — AI Search Brand Monitoring
Monitors brand visibility in AI-generated search responses, brand mention trends, share of voice, and which domains cite the brand in AI responses. Powered by Ahrefs Brand Radar — no fallback exists for this data.
References
@skills/seo/references/mcp-degradation.md @skills/seo/references/ahrefs-api-reference.md
Inputs
brand: The brand name or domain to monitor (required). Can be a company name (Notion) or a domain (notion.so). Use whatever format the user provides — do NOT normalize unless the API explicitly requires it.
MCP Check
Before proceeding, verify Ahrefs MCP is available:
- Use ToolSearch with query
+ahrefs - If tools are returned → Ahrefs MCP is available, proceed to Execution
- If no tools returned → display the Brand Radar error template below and stop
CRITICAL — No Fallback: Brand Radar is an Ahrefs-exclusive feature. If Ahrefs MCP is not connected, this command cannot provide any data. Do NOT estimate or fabricate brand monitoring data. Do NOT attempt to infer brand visibility from other sources. Stop and show the error.
Execution
Step 1 — Schema Discovery (CRITICAL)
Use ToolSearch with query brand-radar to discover all available Brand Radar tools
and their exact parameter schemas.
From the returned tool definitions, inspect and document:
a) What parameter name is used for the brand/target input — may be target,
brand, query, brandTarget, or another name. Do NOT assume it is target.
b) What response fields each tool returns — field names vary and are NOT documented
statically in this skill.
c) Which Brand Radar tools are available in the connected Ahrefs MCP version.
Record the discovered parameter name as {brand_param} before making any API calls.
All subsequent calls in Steps 2–5 use {brand_param}: {brand_input}.
If ToolSearch returns no brand-radar tools: Display error "Brand Radar tools not found in connected Ahrefs MCP. This feature may not be available in your Ahrefs account tier." and stop.
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.
- 12d ago First seen · 171 lines · 88 tokens per session scan C e42884ac908c
seo-brand-radar is a skill published in the GitHub repository lionkiii/claude-seo-skills (20 stars, last pushed 3mo ago), licensed MIT. It adds 88 tokens to every session and 1,534 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it C with 2 findings (reads agent configuration directories, reads mcp configuration). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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