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narrative-resonance-monitor

narrative-resonance-monitor is a skill for Claude Code from iamwaqargulzar/Marketing-Agent-OS. It costs 224 tokens per session (925 once invoked), scanned A, original, Apache-2.0.

A report on how closely public language matches a brand’s approved story and how AI answer services describe the brand. It can measure shared wording and report the method used.

In plain words
What is it for?
Use it to measure message overlap in market language and review how answer engines portray the brand.
Why use it?
It helps show whether the intended message is being repeated and whether AI-generated descriptions differ from it.

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 3d ago A scan 224 tokens original Apache-2.0

Good fit Use it to measure message overlap in market language and review how answer engines portray the brand.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/iamwaqargulzar/marketing-agent-os/narrative-resonance-monitor
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 narrative-resonance-monitor
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 narrative-resonance-monitor

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/iamwaqargulzar/marketing-agent-os/narrative-resonance-monitor"><img src="https://agentmods.dev/badge/skills/iamwaqargulzar/marketing-agent-os/narrative-resonance-monitor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 224 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 925 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 $0.00224 $0.00925
Opus 5.5 $0.00090 $0.00370
Sonnet 5.5 $0.00045 $0.00185
Haiku 4.5 $0.00022 $0.00093

Measured 2mo ago against content hash cc137765940d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

narrative-resonance-monitor 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 2mo 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/narrative-resonance-monitor/SKILL.md · 75 lines

How it starts

The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Narrative Resonance Monitor

Quick Start

Use this skill for narrative resonance monitor. 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 narrative resonance monitor 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 narrative resonance monitor. Distinguish direct observations from assumptions and proxies.
  4. Execute the narrative resonance monitor 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.

Domain Checklist

  • Product and market context
  • Audience/jobs/problems
  • Differentiation
  • Competitor alternatives
  • Evidence and proof
  • Constraints/resources
  • Decision criteria
  • Measurement and learning loop

Read the full file on GitHub · 75 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. 2mo ago First seen · 75 lines · 224 tokens per session scan A cc137765940d

Subscribe to this mod's changes

narrative-resonance-monitor is a skill published in the GitHub repository iamwaqargulzar/Marketing-Agent-OS (8 stars, last pushed 3d ago), licensed Apache-2.0. It adds 224 tokens to every session and 925 once invoked, about $0.0009 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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