agentCLAWHUBUnverified

Social Measurement Loop

Use when the user asks to "run the weekly social readout", "which denominator does our engagement rate use", or "which posts won this week and what changes n... Skill: Social Measurement Loop Owner: aaron-he-zhu Summary: Use when the user asks to "run the weekly social readout", "which denominator does our engagement rate use", or "which posts won this week and what changes n... Tags: latest:19.0.0 Version history: v19.0.0 | 2026-07-24T15:13:16.170Z | auto Version 19.0.0 - Updated version to 19.0.0 in SKILL.md and metadata. - Added distribution-manifest.json. - Removed skill

OpenClaw

Rank

62

Safety

84

Downloads

1.1k

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. 1.1K 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
1.1K 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:social-measurement-loop
  1. Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
  2. 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-social-measurement-loop/snapshot"

Documentation

CLAWHUB

105,591 characters of source documentation, loaded on request.

Extracted files

4 files captured from the source.

SKILL.md

---
name: social-measurement-loop
slug: aaron-social-measurement-loop
displayName: "Social Measurement Loop · 社媒度量闭环"
summary: "社媒周度复盘/指标字典/互动率分母锁定/中位数汇总/学习回写"
description: 'Use when the user asks to "run the weekly social readout", "which denominator does our engagement rate use", or "which posts won this week and what changes next cycle"; produces the organic-social metric dictionary (every rate names its denominator — ERR engagement-by-reach vs ERI by-impressions vs ER-by-follower — locked across periods), median-not-mean per-post rollups with organic and boosted separated, EMV as labeled exec-translation only (never inside any score), an attributed CHAOSS/Orbit-style community-health readout with employees excluded, and the best/worst-performer write-back the next calendar cycle consumes. Not for dollar-ROI math or the ECHO profile result gate verdict — use roi-calculator and social-quality-auditor. 社媒周报/互动率分母/指标字典/复盘回写'
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 running the weekly organic-social measurement loop: building or applying the metric dictionary (declared, period-locked denominators on every reported rate), rolling up per-post performance with medians and an organic/boosted split, translating results to EMV for executives (labeled, never scored), running the attributed CHAOSS/Orbit-style community-health readout on an owned community, or compiling the best/worst-performer write-back for the next calendar cycle. Not the dollar-ROI math (roi-calculator) and never the ECHO profile result verdict (social-quality-auditor)."
argument-hint: "<period, e.g. 'week of 2026-06-29'> [channels] [exports]"
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"}}
---

# Social Measurement Loop

The weekly organic-social readback loop — the sibling of [paid-measurement-loop](../../../ad/scale/paid-measurement-loop/SKILL.md) for unpaid channels. It owns the measurement-integrity core of the ECHO **O** lever and feeds five O sub-items in [echo-benchmark.md](../../../references/echo-benchmark.md): declared period-stable denominators (the upstream of the **ECHO-O1** veto), median-not-mean per-post rollups with organic and boosted separated, EMV excluded from any score, employee-excluded community-health metrics, and learnings written back to the next cycle. It owns the O lever's dictionary and loop but **never computes the ECHO profile result** — only [social-quality-auditor](../../host/social-quality-auditor/SKILL.md) scores ECHO and runs vetoes.

**Scope guard**: this skill produces the metric dictionary, the period readout, and the write-back list only. It does NO

_meta.json

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  "ownerId": "kn73qjxwmbna25qq8q051epqt980sys5",
  "slug": "social-measurement-loop",
  "version": "19.0.0",
  "publishedAt": 1784905996170
}

skill-card.md

## Description:

Builds a weekly organic-social measurement readout with locked engagement-rate denominators, median per-post rollups, optional EMV translation kept out of scores, community-health metrics, and keep/stop/try learnings for the next cycle.

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 and community operators use this skill to run weekly organic-social measurement readouts, lock engagement-rate denominators, compare median per-post performance, and carry keep/stop/try learnings into the next planning cycle.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Social analytics exports can include personal or confidential data unrelated to the measurement task.

Mitigation: Provide only the channel, GA4/GSC, or community exports needed for the period and remove unrelated personal or confidential fields before use.

Risk: Saved readouts and promoted learnings may retain sensitive campaign observations across sessions.

Mitigation: Use save and promote steps only when retention is intended, and review what will be written to memory before confirming.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/aaron-he-zhu/skills/social-measurement-loop)
- [Source homepage](https://github.com/aaron-he-zhu/aaron-marketing-skills)

## Skill Output:

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

**Output Format:** [Markdown readout with metric dictionary, channel rollups, hypotheses, and write-back list]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Rates name their numerator and denominator; organic and boosted metrics are separated; EMV is labeled as estimated translation only when requested.]

## Skill Version(s):

19.0.0 (source: server release evidence and skill 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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    "repository": "aaron-he-zhu/aaron-marketing-skills"
  }
}
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Machine-readable data

The same record, as JSON, for agents and crawlers.

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Record generated Oct 11, 2026.

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