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-gaps-to-social-campaigngit 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-gaps-to-social-campaign)<a href="https://agentmods.dev/skills/seranking/seo-skills/seo-gaps-to-social-campaign"><img src="https://agentmods.dev/badge/skills/seranking/seo-skills/seo-gaps-to-social-campaign/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-gaps-to-social-campaign"><img src="https://agentmods.dev/badge/skills/seranking/seo-skills/seo-gaps-to-social-campaign.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 | $0.00155 | $0.02396 |
| Opus 5 | $0.00077 | $0.01198 |
| Sonnet 5 | $0.00031 | $0.00479 |
| Haiku 4.5 | $0.00015 | $0.00240 |
Grade A, and why
seo-gaps-to-social-campaign 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 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.
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.
Copies of this mod
1 near-identical copy found in the catalogue:
- seo-gaps-to-social-campaign — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO gaps → social campaign
Connect SE Ranking (where the demand and the gaps live) to Planable (where content gets made, approved, and published). The goal is a focused social campaign whose every post is grounded in real search demand — not a generic brainstorm.
Prerequisites
- SE Ranking MCP connected (Data API for research; a project is optional but unlocks ranking-loss detection).
- Planable MCP connected, with the destination workspace and at least one connected page.
- The user provides: target domain, market/country (default
us), the Planable workspace, and ideally 1–3 competitor domains. Number of posts defaults to 6 if unspecified.
Connector health check
Before doing anything else, verify both MCPs are reachable:
- SE Ranking: call
DATA_getSubscription. If it fails or returns an auth error, stop immediately and tell the user:"The SE Ranking connector isn't responding — please reconnect it before we continue. Setup guide: https://seranking.com/api/integrations/mcp/"
- Planable: call
list_workspaces. If it fails or returns an auth error, stop immediately and tell the user:"The Planable connector isn't responding — please reconnect it before we continue. Setup guide: https://help.planable.io/hc/en-us/articles/27538577098780-How-to-connect-Planable-MCP-to-your-AI-tools"
Only continue to the process steps below once both calls return a successful response.
Process
1. Scope the campaign
Confirm: target domain, country, competitors (optional), the Planable workspace + which platforms, how many posts, and any campaign window. If the workspace is ambiguous, call list_workspaces and let the user pick — do not guess.
2. Discover opportunities in SE Ranking
Work sequentially (respect the Data API limit of ~10 requests/second). Save raw results as you go.
DATA_getDomainOverviewWorldwide+DATA_getDomainKeywords— the target's current footprint and best existing keywords. The target's own strong/striking-distance keywords are often the most on-brand campaign fuel, so mine these first.DATA_getDomainCompetitors— confirm the real organic competitors (sort by shared keywords; take the top 3–5). Note: this call returns the full set and may be written to a file — read and parse it.DATA_getDomainKeywordsComparison— the core gap list: keywords competitors rank for that the target does not. Filter to keep it useful (e.g. informational/commercial intent, volume > a sensible floor, difficulty the domain can realistically win). Then judge relevance, not just the numbers — competitor gap lists are noisy and surface off-brand junk (glossary entries, follower-farming terms like "free followers", unrelated blog tangents). Discard anything that isn't a topic the target could credibly post about; a high-volume term the brand has no business addressing is not an opportunity. If a strict filter returns almost nothing, loosen one threshold or try another competitor rather than forcing a campaign out of junk.DATA_getRelatedKeywords+DATA_getKeywordQuestions— expansion terms and real questions people ask. Question keywords are gold for social hooks — they map directly to post openers. These endpoints often return only a handful of rows per seed, so query several seeds (3–5 core topics) and aggregate rather than trusting one; a seed returning 1–2 questions is normal, not a sign there's no demand.DATA_getSerpResultsfor the 2–4 strongest themes — read the intent and the SERP features so the social angle matches what searchers actually want.- Ranking losses (if a project exists): call
PROJECT_getPositionHistory(typeavg_posorvisibility) to find terms that slipped. A recovering or slipping keyword is a strong "we have something to say" social trigger. If there is no project, skip this and rely on the gap analysis above.
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 · 111 lines · 155 tokens per session scan A 86e4fbc34fe4
seo-gaps-to-social-campaign is a skill published in the GitHub repository seranking/seo-skills (140 stars, last pushed 2mo ago), licensed MIT. It adds 155 tokens to every session and 2,396 once invoked, about $0.0008 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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