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 seranking/seo-skills --skill seo-backlink-gapgit clone --depth 1 https://github.com/seranking/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/seranking/seo-skills/seo-backlink-gap)<a href="https://agentmods.dev/skills/seranking/seo-skills/seo-backlink-gap"><img src="https://agentmods.dev/badge/skills/seranking/seo-skills/seo-backlink-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/seranking/seo-skills/seo-backlink-gap"><img src="https://agentmods.dev/badge/skills/seranking/seo-skills/seo-backlink-gap.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00076 | $0.01196 |
| Opus 5 | $0.00038 | $0.00598 |
| Sonnet 5 | $0.00015 | $0.00239 |
| Haiku 4.5 | $0.00008 | $0.00120 |
Grade A, and why
seo-backlink-gap 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Example output: examples/seo-backlink-gap-linear-app-20260514/REPORT.md
Backlink Gap
Produce an actionable link-prospecting list: domains linking to your top competitors but not to you, filtered by authority and relevance, enriched with anchor samples and a suggested outreach angle.
Prerequisites
- SE Ranking MCP server connected.
- Claude's
WebFetchtool available (used for prospect scoring and topical relevance checks). - User provides: (a) target domain, (b) 3 to 5 competitor domains, and optionally (c) minimum Domain Trust (default: 25), (d) dofollow-only filter (default: true), (e) minimum intersection count (default: linked by at least 2 of the N competitors).
Process
-
Baseline target backlinks
DATA_getBacklinksRefDomains,DATA_getBacklinksSummary- Pull the target domain's existing referring domains to build an exclusion set.
- Save count and summary metrics for the report.
-
Per-competitor referring domains
DATA_getBacklinksRefDomains- For each competitor, pull referring domains with
dofollow_only=trueandmin_domain_trust={threshold}. - Collect as a dict keyed by referring domain with the list of competitors linking to it.
- For each competitor, pull referring domains with
-
Intersection
- Retain referring domains that link to at least the minimum number of competitors.
- Exclude any domain already in the target's backlink set.
-
Enrichment
DATA_getBacklinksAuthority,DATA_getBacklinksAnchors- For each candidate, pull: Domain Trust, Page Trust of the linking page, linking-to-competitor anchor samples (top 3 anchors), and country if available.
- Classify by link type: editorial, resource list, directory, forum/UGC.
-
Relevance scoring
- Score each candidate on: (a) topical overlap (use domain homepage title/meta via WebFetch), (b) DT, (c) intersection count, (d) link-type preference.
- Suggest an outreach angle per row: local fit, topical fit, competitive parity, resource-list inclusion, broken link, etc.
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.
- 10d ago First seen · 100 lines · 76 tokens per session scan A 76d0cfed38ea
seo-backlink-gap is a skill published in the GitHub repository seranking/seo-skills (139 stars, last pushed 2mo ago), licensed MIT. It adds 76 tokens to every session and 1,196 once invoked, about $0.0004 per session on Opus 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 2026-08-30.
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