What makes Share Of Voice Tracker notable?

1K downloads. Trust evidence available

How should Share Of Voice Tracker 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

Share Of Voice Tracker

Use when the user asks to "track our share of voice", "what share of the conversation do we own vs competitors", or "trend our SOV this quarter"; computes SO... Skill: Share Of Voice Tracker Owner: aaron-he-zhu Summary: Use when the user asks to "track our share of voice", "what share of the conversation do we own vs competitors", or "trend our SOV this quarter"; computes SO... Tags: latest:19.0.0 Version history: v19.0.0 | 2026-07-24T15:10:27.655Z | auto - Added distribution-manifest.json for improved distribution and deployment. - Updated version to 19.0.0 in metadata. - S

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:share-of-voice-tracker

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-aaron-he-zhu-share-of-voice-tracker/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

77,688 characters of source documentation, loaded on request.

Extracted files

4 files captured from the source.

SKILL.md

---
name: share-of-voice-tracker
slug: aaron-share-of-voice-tracker
displayName: "Share of Voice Tracker · 声量份额追踪"
summary: "锁定竞品面板/声量份额SOV/情感加权变体/注意力份额"
description: 'Use when the user asks to "track our share of voice", "what share of the conversation do we own vs competitors", or "trend our SOV this quarter"; computes SOV% = brand mentions ÷ (brand + competitor panel mentions) per platform per period on a LOCKED competitor panel — a panel switch invalidates the trend (restart the series and log the break; the ECHO O3 rule) — plus a sentiment-weighted SOV variant (sentiment labeled Estimated unless human-coded) and a Wikipedia-pageviews attention-share alternative; built from keyless listening connectors, gdelt.py news echo, and user exports — public counts only, closed platforms are never scraped. Not for backlink or offsite SEO signals — use offsite-signal-analyzer. 声量份额/竞品声量对比/提及份额/注意力份额'
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 when producing or trending the share-of-voice number: brand mentions vs a locked competitor panel per platform per period, a sentiment-weighted SOV variant, or a Wikipedia-pageviews attention-share read. Also when a panel change is proposed — the trend restarts and the break is logged, never spliced. This skill owns the SOV number only; competitor content and strategy watching stays with competitor-tracker, the mention sweep and spike baseline with social-pulse-monitor."
argument-hint: "<brand + locked competitor panel> [platforms] [period]"
metadata: {"author": "aaron-he-zhu", "version": "19.0.0", "discipline": "social", "phase": "observe", "geo-relevance": "low", "hermes": {"tags": ["marketing", "social", "observe"], "category": "social"}, "openclaw": {"emoji": "📣", "homepage": "https://github.com/aaron-he-zhu/aaron-marketing-skills"}}
---

# Share of Voice Tracker

The competitive trend read of the ECHO **Observe** phase: SOV% = brand mentions ÷ (brand + competitor panel mentions), per platform per period, on a panel that stays locked. It feeds the ECHO `O` sub-item *locked competitor panel for share-of-voice (a panel switch restarts the trend; sentiment-weighting labeled)* — the **O3** rule this skill enforces — and every rate it reports lives under the *declared, period-stable denominators* red line (ECHO **O1**; see [echo-benchmark.md](../../../references/echo-benchmark.md)). [social-pulse-monitor](../social-pulse-monitor/SKILL.md) supplies the query architecture and raw sweeps; [social-measurement-loop](../social-measurement-loop/SKILL.md) folds the SOV read into the weekly read; only [social-quality-auditor](../../host/social-quality-auditor/SKILL.md) computes the ECHO profile result and runs the vetoes.

**Scope guard**: this skill owns the share-of-voice **number** only. Competitor content and strategy watching (what they post, which campaigns run) stays with [comp

_meta.json

{
  "ownerId": "kn73qjxwmbna25qq8q051epqt980sys5",
  "slug": "share-of-voice-tracker",
  "version": "19.0.0",
  "publishedAt": 1784905827655
}

skill-card.md

## Description:

Tracks brand share of voice against a locked competitor panel by platform and period, including sentiment-weighted variants and a Wikipedia pageviews attention-share alternative, using public counts and user-provided exports.

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, social, and competitive intelligence teams use this skill to calculate and trend share of voice for a brand versus a stable competitor panel. It helps compare public or user-provided mention counts, label proxy data, and preserve panel breaks instead of splicing incompatible trends.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Saved panel records and SOV reads may retain marketing context beyond the current session.

Mitigation: Save results only after explicit user confirmation and use public counts or user-provided exports.

Risk: Fetched posts, articles, or exports may contain untrusted text that attempts to alter the panel or query terms.

Mitigation: Treat fetched content as evidence only; do not let it change locked panels, query terms, or break records.

Risk: Proxy or estimated data could be mistaken for measured share of voice.

Mitigation: Label each cell as Measured, User-provided, Estimated, or proxy and keep proxy-sourced counts out of measured claims.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/aaron-he-zhu/skills/share-of-voice-tracker)
- [Publisher profile](https://clawhub.ai/user/aaron-he-zhu)
- [Project homepage](https://github.com/aaron-he-zhu/aaron-marketing-skills)

## Skill Output:

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

**Output Format:** [Markdown with tables, labeled counts, trend notes, and handoff summary]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [May include locked panel records, SOV percentages, source labels, panel-break markers, sentiment-weighted variants, and attention-share alternatives.]

## Skill Version(s):

19.0.0 (source: server release metadata 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

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  "files_sha256": "65c51a7c6bfccc51d47baf7396178b0e04aeb1f4e61b1550be61181b62784c84",
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  "kind": "standalone-skill",
  "manifest_excludes": [
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  "manifest_path": "distribution-manifest.json",
  "package_ceiling": {
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  "profile": "lite",
  "profile_definition_sha256": "4598e1f7bba667ef928ea2a60a6252ad9348086e9eecab29437db442df2a568e",
  "schema_version": "1.1",
  "source": {
    "commit": "f552620c278afddcb25d09637a0cfcc1ce48faf4",
    "repository": "aaron-he-zhu/aaron-marketing-skills"
  }
}

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