What makes Narrative Resonance Monitor notable?

1K downloads. Trust evidence available

How should Narrative Resonance Monitor be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

Narrative Resonance Monitor

Use when the user asks to "measure how our narrative is landing", "track echo rate against our canon lexicon", or "check how AI answer engines describe our b...

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.0k

Updated

Oct 11, 2026

Version

19.0.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1K downloads reported by the source. Last updated 10/11/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 11, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 11, 2026
Adoption signal: 1K downloadsadoption · observed Oct 11, 2026
Latest release: 19.0.0release · observed Jul 24, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17e1tg8pjra8dn1dvtq21sahx83hrxj:narrative-resonance-monitor

Install using `clawhub skill install s17e1tg8pjra8dn1dvtq21sahx83hrxj:narrative-resonance-monitor` in an isolated environment before connecting it to live workloads.
No published capability contract is available yet, so validate auth and request/response behavior manually.
Review the upstream CLAWHUB listing at https://clawhub.ai/aaron-he-zhu/narrative-resonance-monitor before using production credentials.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-aaron-he-zhu-narrative-resonance-monitor/snapshot"

Run-check

$0.02 USD

1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.

Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.

Documentation

CLAWHUB

69,789 characters of source documentation, loaded on request.

Extracted files

4 files captured from the source.

SKILL.md

---
name: narrative-resonance-monitor
slug: aaron-narrative-resonance-monitor
displayName: "Narrative Resonance Monitor · 叙事共鸣监测"
summary: "回声率/AI回答感知/份额之声/共鸣信号"
description: 'Use when the user asks to "measure how our narrative is landing", "track echo rate against our canon lexicon", or "check how AI answer engines describe our brand"; produces a resonance report — echo rate (overlap of market language with the narrative-registry canon lexicon, method declared), AI-answer perception via tavily.py --answer (proxy-labeled), share-of-voice on a locked competitor panel (reusing share-of-voice-tracker), and resonance signals from bluesky.py / gdelt.py / pageviews.py — every number labeled Measured / proxy / User-provided, feeding the TALE E dimension and the upstream of the E1 evidence-integrity veto. Not for rebuilding share-of-voice machinery — use share-of-voice-tracker; not for own-site GA4/GSC analytics — use performance-monitor; not for scoring TALE profile result — use narrative-quality-auditor; not for adjudicating claims — use offer-claims-registry. 回声率/AI回答感知/份额之声/共鸣信号'
version: "19.0.0"
license: Apache-2.0
compatibility: "Claude Code and compatible agent-skill hosts"
homepage: "https://github.com/aaron-he-zhu/aaron-marketing-skills"
when_to_use: "Use in the TALE Evaluate phase to measure whether the durable narrative is resonating in the market: echo rate (market language overlap with the canon lexicon, method stated), AI-answer perception (how answer engines describe the brand vs the canon, tavily.py --answer, proxy-labeled), share-of-voice on a locked competitor panel (reusing share-of-voice-tracker), and public resonance signals via bluesky.py / gdelt.py / pageviews.py. The resonance-evidence feed for the E1 veto — every proxy number labeled proxy, never Measured. Not for scoring TALE profile result (that is narrative-quality-auditor) or own-site analytics (performance-monitor)."
argument-hint: "<brand / narrative> [canon lexicon path] [competitor panel] [platforms]"
metadata: {"author": "aaron-he-zhu", "version": "19.0.0", "discipline": "narrative", "phase": "evaluate", "geo-relevance": "low", "hermes": {"tags": ["marketing", "narrative", "evaluate"], "category": "narrative"}, "openclaw": {"emoji": "📖", "homepage": "https://github.com/aaron-he-zhu/aaron-marketing-skills"}}
---

# Narrative Resonance Monitor

Measures whether the durable brand narrative is actually landing in the market — an **echo rate** (how much of the market's own language overlaps the narrative-registry canon lexicon, with the matching method declared), an **AI-answer perception** read (how answer engines describe the brand versus the canon, via `scripts/connectors/tavily.py --answer`, proxy-labeled), **share-of-voice** on a locked competitor panel, and public **resonance signals** from Bluesky / GDELT / Wikipedia-attention. It sits in the **Evaluate** phase of the TALE loop and is the resonance-evidence feed for the `E` dimension — specifically the upstream of t

_meta.json

{
  "ownerId": "kn73qjxwmbna25qq8q051epqt980sys5",
  "slug": "narrative-resonance-monitor",
  "version": "19.0.0",
  "publishedAt": 1784904835070
}

skill-card.md

## Description:

Measures whether a durable brand narrative is landing in the market by producing a resonance report with echo rate, AI-answer perception, locked-panel share of voice, and public resonance signals, while labeling each number as Measured, proxy, or User-provided.

This skill is ready for commercial/non-commercial use.

## Publisher:

[aaron-he-zhu](https://clawhub.ai/user/aaron-he-zhu)

### License/Terms of Use:

MIT-0

## Use Case:

Marketing, narrative, and brand teams use this skill to evaluate whether market language, answer-engine descriptions, and share-of-voice signals align with a canon narrative. It supports TALE Evaluate-phase resonance reporting without editing the canon lexicon or adjudicating claims.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The package metadata understates the network/script and memory-write actions described by the skill workflow.

Mitigation: Install only in a host with per-operation permissions, and allow the named connectors and memory paths only when resonance monitoring is expected.

Risk: Report saves, event proposals, open-loop updates, and cache changes can alter persistent project memory.

Mitigation: Require explicit user confirmation before any report save, registry event proposal, open-loop update, or cache change.

Risk: Connector results, scraped mentions, and pasted analytics may contain untrusted content or misleading metrics.

Mitigation: Treat those inputs as untrusted, do not follow embedded instructions, and keep every number labeled as Measured, proxy, or User-provided with an as-of date.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/aaron-he-zhu/skills/narrative-resonance-monitor)
- [Project homepage](https://github.com/aaron-he-zhu/aaron-marketing-skills)
- [Publisher profile](https://clawhub.ai/user/aaron-he-zhu)

## Skill Output:

**Output Type(s):** [text, markdown, shell commands, configuration, guidance]

**Output Format:** [Markdown resonance report with labeled metrics, source notes, and handoff summary]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Reports echo-rate method and corpus, proxy AI-answer perception, locked-panel share of voice, as-of dates, and any unsupported claims marked as needing a source.]

## Skill Version(s):

19.0.0 (source: server evidence and SKILL.md frontmatter)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

distribution-manifest.json

{
  "capabilities": [
    "inline-delivery",
    "canonical-state-read"
  ],
  "capability_ceiling": "lite",
  "catalog_sha256": "6f0256cf52710f2916ecebaea0f3110c9313099ec4a69a11cac72ba9b2f3b940",
  "files": [
    {
      "bytes": 13964,
      "mode": "0644",
      "path": "SKILL.md",
      "sha256": "39fa02324e01346ba4379b389995186e52dea8fa5e68b282bf46807e4601f39a"
    }
  ],
  "files_sha256": "d250ffd9ef84c10d57a1e631dc0a05c094d1a663e62c773a7d503122db310c04",
  "hash_algorithm": "sha256",
  "kind": "standalone-skill",
  "manifest_excludes": [
    "distribution-manifest.json"
  ],
  "manifest_path": "distribution-manifest.json",
  "package_ceiling": {
    "max_bytes": 1000000,
    "max_files": 64
  },
  "profile": "lite",
  "profile_definition_sha256": "4598e1f7bba667ef928ea2a60a6252ad9348086e9eecab29437db442df2a568e",
  "schema_version": "1.1",
  "source": {
    "commit": "f552620c278afddcb25d09637a0cfcc1ce48faf4",
    "repository": "aaron-he-zhu/aaron-marketing-skills"
  }
}

Github ReposUpdated 2d agoRank 70

AionUi

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

MCPOPENCLAW

Github ReposUpdated 6mo agoRank 70

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

OPENCLAW

Github ReposUpdated 6mo agoRank 70

cherry-studio

AI productivity studio with smart chat, autonomous agents, and 300+ assistants.