seo-ai-social-report

seo-ai-social-report is a skill for Claude Code from seranking-planable/smm-skills. It costs 142 tokens per session (1,631 once invoked), scanned A, a copy of seo-ai-social-report, MIT.

A reporting workflow that combines search-engine rankings, visibility in AI search results, and social-media engagement into one report. SE Ranking provides the search data, while Planable provides social data.

In plain words
What is it for?
Use it for a website's cross-channel performance report by supplying its domain, brand, market, Planable workspace, and reporting period. You can optionally compare competitors' share of voice.
Why use it?
It removes the need to read separate reports from search and social tools. It produces a short chat summary and a self-contained interactive HTML report for more detail.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the planable-smm plugin — 12 skills, 1 MCP server shipped together

Good fit Use it for a website's cross-channel performance report by supplying its domain, brand, market, Planable workspace, and reporting period. You can optionally compare competitors' share of voice.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/seranking-planable/smm-skills/seo-ai-social-report
Install

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.

Any agent
npx skills add seranking-planable/smm-skills --skill seo-ai-social-report
Clone the repo
git clone --depth 1 https://github.com/seranking-planable/smm-skills

Made for: Claude Code.

Or install planable-smm, the plugin that ships this one along with the rest of its 12 skills, 1 MCP server.

Wrote 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.

agentmods badge for seo-ai-social-report

README.md
[![agentmods](https://agentmods.dev/badge/skills/seranking-planable/smm-skills/seo-ai-social-report/github.svg)](https://agentmods.dev/skills/seranking-planable/smm-skills/seo-ai-social-report)
Your own site
<a href="https://agentmods.dev/skills/seranking-planable/smm-skills/seo-ai-social-report"><img src="https://agentmods.dev/badge/skills/seranking-planable/smm-skills/seo-ai-social-report/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.

agentmods 80×15 button for seo-ai-social-report

Your own site · 80×15
<a href="https://agentmods.dev/skills/seranking-planable/smm-skills/seo-ai-social-report"><img src="https://agentmods.dev/badge/skills/seranking-planable/smm-skills/seo-ai-social-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 142 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,631 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00142 $0.01631
Opus 5 $0.00071 $0.00816
Sonnet 5 $0.00028 $0.00326
Haiku 4.5 $0.00014 $0.00163

Measured 12d ago against content hash 733528c7101c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

seo-ai-social-report 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.

Origin

This is a copy

100% identical to seo-ai-social-report — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/seo-ai-social-report/SKILL.md · 87 lines

How it starts

The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Unified SEO + AI + social report

Most reporting forces clients to read three tools separately. This produces one view: search rankings and AI-search visibility from SE Ranking, social engagement from Planable, with quick text conclusions for the inbox and an interactive HTML report for the detail.

Prerequisites

  • SE Ranking MCP connected (a project gives the cleanest ranking trend; Data API history works without one).
  • Planable MCP connected, with the workspace and connected pages.
  • The user provides: domain + brand, market/country (default us), the Planable workspace, the reporting period (default: previous calendar month), and optionally competitors for share-of-voice.

Connector health check

Before doing anything else, verify both MCPs are reachable:

Only continue to the process steps below once both calls return a successful response.

Process

1. Scope

Confirm domain, Planable workspace, period, and competitors. Resolve the period to explicit start/end dates.

2. Pull SEO (SE Ranking)

  • With a project: PROJECT_getSummary and PROJECT_getPositionHistory(site_id, type: avg_pos | visibility, date_from, date_to) for the ranking trend; optionally reuse a finished audit (PROJECT_listAuditsgetAuditReport) for a site-health number.
  • Without a project: DATA_getDomainOverviewWorldwide for the snapshot.
  • Shortcut: the AI overview call in step 3 (time-series view) already returns monthly organic_traffic / overall_traffic streams for the chosen country — you can reuse those for the organic-trend chart instead of a separate history call.

Read the full file on GitHub · 87 lines

Changes

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.

  1. 12d ago First seen · 87 lines · 142 tokens per session scan A 733528c7101c

Subscribe to this mod's changes

seo-ai-social-report is a skill published in the GitHub repository seranking-planable/smm-skills (3 stars, last pushed 2mo ago), licensed MIT. It adds 142 tokens to every session and 1,631 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to seo-ai-social-report, differing in 0 lines, and is treated as a copy.

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