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-serpgit 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-serp)<a href="https://agentmods.dev/skills/lionkiii/claude-seo-skills/seo-serp"><img src="https://agentmods.dev/badge/skills/lionkiii/claude-seo-skills/seo-serp/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-serp"><img src="https://agentmods.dev/badge/skills/lionkiii/claude-seo-skills/seo-serp.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 | $0.00082 | $0.01460 |
| Opus 5 | $0.00041 | $0.00730 |
| Sonnet 5 | $0.00016 | $0.00292 |
| Haiku 4.5 | $0.00008 | $0.00146 |
Grade C, and why
seo-serp 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 — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SERP Analysis
Fetches live SERP data for a keyword from Ahrefs, showing ranking pages with DR scores, traffic estimates, and content angle analysis. WebMCP enriches page titles when available; Ahrefs-only mode is the primary operating mode.
References
@skills/seo/references/mcp-degradation.md @skills/seo/references/ahrefs-api-reference.md
Inputs
keyword: The search query to analyze (required). Example:"best project management software"
MCP Check
Before proceeding, verify MCPs are available:
Primary check (required):
- Use ToolSearch with query
+ahrefs - If tools returned → Ahrefs MCP is available, proceed to Execution
- If no tools returned → display the Ahrefs MCP error template from
references/mcp-degradation.mdand stop
Secondary check (non-blocking):
- Use ToolSearch with query
+webmcp - If tools returned → note "WebMCP available — will enrich top 3 URLs with page titles"
- If no tools returned → note "WebMCP not connected — running Ahrefs-only mode" and proceed
Execution
Step 1 — Discover serp-overview parameter schema
Use ToolSearch with query serp-overview to inspect the tool definition and
discover its parameter names. The keyword parameter may be named keyword,
query, or term — do not assume. Use the exact parameter name found in the
schema for the call in Step 2.
Step 2 — Call serp-overview
Call mcp__claude_ai_ahrefs__serp-overview using the parameter name discovered
in Step 1 with the user's keyword as the value.
Returns: list of ranking pages with fields that may include url, domain_rating,
traffic, traffic_cost, position, title.
Step 3 — WebMCP enrichment (only if WebMCP available from MCP Check)
For the top 3 URLs from the SERP results, use WebMCP to fetch each page and extract:
- Page
<title>tag content - First
<h1>tag content
Use these to determine the content angle each top-ranking page is targeting. If WebMCP is unavailable, skip this step entirely — do not attempt the calls.
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 · 156 lines · 82 tokens per session scan C d7b7f7154b43
seo-serp is a skill published in the GitHub repository lionkiii/claude-seo-skills (20 stars, last pushed 3mo ago), licensed MIT. It adds 82 tokens to every session and 1,460 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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