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offsite-signal-analyzer

offsite-signal-analyzer is a skill for Claude Code from iamwaqargulzar/Marketing-Agent-OS. It costs 154 tokens per session (936 once invoked), scanned A, original, Apache-2.0.

An analysis of signals from outside a website, such as links from other sites and visits referred by AI assistants. It can review referring domains, link text, risky links, and AI-referral trends from analytics or logs.

In plain words
What is it for?
Use it to analyse backlinks, identify possible links to review or disavow, and track referrals from services such as ChatGPT or Perplexity.
Why use it?
It helps explain how external sites and AI services may be contributing to visibility and visits, rather than focusing only on page content.

Skill for Claude Code

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

Part of the marketing-agent-os plugin — 175 skills shipped together

not rated 8repo changed 14d ago A scan 154 tokens original Apache-2.0

Good fit Use it to analyse backlinks, identify possible links to review or disavow, and track referrals from services such as ChatGPT or Perplexity.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/iamwaqargulzar/marketing-agent-os/offsite-signal-analyzer
View source ↗ iamwaqargulzar/Marketing-Agent-OS
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 iamwaqargulzar/Marketing-Agent-OS --skill offsite-signal-analyzer
Clone the repo
git clone --depth 1 https://github.com/iamwaqargulzar/Marketing-Agent-OS

Made for: Claude Code.

Or install marketing-agent-os, the plugin that ships this one along with the rest of its 175 skills.

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 offsite-signal-analyzer

README.md
[![agentmods](https://agentmods.dev/badge/skills/iamwaqargulzar/marketing-agent-os/offsite-signal-analyzer/github.svg)](https://agentmods.dev/skills/iamwaqargulzar/marketing-agent-os/offsite-signal-analyzer)
Your own site
<a href="https://agentmods.dev/skills/iamwaqargulzar/marketing-agent-os/offsite-signal-analyzer"><img src="https://agentmods.dev/badge/skills/iamwaqargulzar/marketing-agent-os/offsite-signal-analyzer/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 offsite-signal-analyzer

Your own site · 80×15
<a href="https://agentmods.dev/skills/iamwaqargulzar/marketing-agent-os/offsite-signal-analyzer"><img src="https://agentmods.dev/badge/skills/iamwaqargulzar/marketing-agent-os/offsite-signal-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 154 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 936 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 original No closer match found 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 $0.00154 $0.00936
Opus 5.5 $0.00062 $0.00374
Sonnet 5.5 $0.00031 $0.00187
Haiku 4.5 $0.00015 $0.00094

Measured 14d ago against content hash 37da637f4843, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

offsite-signal-analyzer 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 14d 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.

skills/offsite-signal-analyzer/SKILL.md · 80 lines

How it starts

The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Offsite Signal Analyzer

Quick Start

Use this skill for offsite signal analyzer. Start from the user’s concrete objective and available evidence; do not substitute generic marketing advice for task-specific analysis.

Skill Contract

  • Reads: user-provided context; relevant project files; .agents/product-marketing.md when present; approved public or connected data sources.
  • Writes: recommendations and artifacts in the response by default. Persistent file/account changes require explicit request or authorization.
  • Evidence: label consequential claims as measured, user-provided, calculated, estimated, or proxy. Never upgrade uncertainty silently.
  • Side effects: do not publish, send, spend, delete, mutate accounts, or persist registry truth without user authorization.
  • Freshness: verify current platform rules, search eligibility, ad policies, model/tool capabilities, laws, pricing, and other time-sensitive claims before acting.

Instructions

  1. Define the exact offsite signal analyzer objective, audience/scope, constraints and success metric before recommending action.
  2. Load shared product-marketing context when it materially changes the answer; ask only for missing facts that block a decision.
  3. Collect the minimum evidence needed for offsite signal analyzer. Distinguish direct observations from assumptions and proxies.
  4. Execute the offsite signal analyzer analysis or artifact using the domain checklist below; prefer specific outputs over generic best-practice lists.
  5. Prioritize actions by impact, confidence, effort and dependency. Identify what would falsify important assumptions.
  6. For external side effects, publishing, sending, spend changes, account changes or persistent writes, obtain authorization first.
  7. Finish with decision-ready output, evidence labels, open loops, and no more than three next-best skills.

Planning versus diagnosis

Keep backlink-profile diagnosis and AI-referral evidence here. Use link-building when the next requested job is an earned-link prospect/tactic/outreach plan. A toxic-link label does not authorize disavow edits, and research evidence does not grant outreach permission.

Read the full file on GitHub · 80 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 14d ago Changed · +4 lines 37da637f4843
  2. 2mo ago First seen · 76 lines · 154 tokens per session scan A 4cd5ebc97918

Subscribe to this mod's changes

offsite-signal-analyzer is a skill published in the GitHub repository iamwaqargulzar/Marketing-Agent-OS (8 stars, last pushed 3d ago), licensed Apache-2.0. It adds 154 tokens to every session and 936 once invoked, about $0.0006 per session on Opus 5.5. 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 2026-09-05.

Analytics and metricsClaude CodeMarketing and SEOaeoagent-skillsai-agentsampanswer-engine-optimization
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