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-ahrefs-content-gapgit 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-ahrefs-content-gap)<a href="https://agentmods.dev/skills/lionkiii/claude-seo-skills/seo-ahrefs-content-gap"><img src="https://agentmods.dev/badge/skills/lionkiii/claude-seo-skills/seo-ahrefs-content-gap/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-ahrefs-content-gap"><img src="https://agentmods.dev/badge/skills/lionkiii/claude-seo-skills/seo-ahrefs-content-gap.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 | $0.00061 | $0.01267 |
| Opus 5 | $0.00030 | $0.00633 |
| Sonnet 5 | $0.00012 | $0.00253 |
| Haiku 4.5 | $0.00006 | $0.00127 |
Grade C, and why
seo-ahrefs-content-gap 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 — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ahrefs Content Gap Analysis
Discovers keywords competitors rank for that the target domain does not, revealing content opportunities. Uses runtime schema discovery to choose the best available Ahrefs tool.
References
@skills/seo/references/mcp-degradation.md @skills/seo/references/ahrefs-api-reference.md
Inputs
domain: The bare target domain to analyze (e.g.,example.com). Striphttps://,http://, and trailing slashes.competitors(optional): Up to 3 competitor domains, space-separated (e.g.,competitor1.com competitor2.com). If not provided, auto-detect using Ahrefs organic competitors tool.
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 Ahrefs MCP error template from
references/mcp-degradation.mdand stop
Execution
Step 1 — Identify Competitors
If competitors parameter provided: use those domains directly.
If no competitors specified:
- Call
mcp__claude_ai_ahrefs__site-explorer-organic-competitorswithtarget: the bare domain - Select top 3 competitors by common keyword overlap from the response
Step 2 — Runtime Schema Discovery for Content Gap Tool
IMPORTANT: The filter parameter for keywords-explorer-matching-terms that
enables competitor-domain filtering is UNVERIFIED. Discover the schema at runtime:
- Use ToolSearch to load
mcp__claude_ai_ahrefs__keywords-explorer-matching-terms - Inspect the tool's parameter schema carefully
- Decision:
- If the tool has a competitor/domain filter parameter → proceed with Approach A (direct filter)
- If the tool has no such filter → fall back to Approach B (cross-reference)
Document which approach was used in the output.
Step 3A — Direct Filter Approach (if schema supports it)
For each competitor domain identified:
- Call
mcp__claude_ai_ahrefs__keywords-explorer-matching-termswith:target: the competitor domain keyword or filter parameter (per discovered schema)- Apply any discovered competitor/domain filter to find keywords competitor ranks for
- Cross-reference against target domain's keywords to identify gaps
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 · 143 lines · 61 tokens per session scan C faaf04db061a
seo-ahrefs-content-gap is a skill published in the GitHub repository lionkiii/claude-seo-skills (20 stars, last pushed 3mo ago), licensed MIT. It adds 61 tokens to every session and 1,267 once invoked, about $0.0003 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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