What makes Message Test Designer notable?

1.1K downloads. Trust evidence available

How should Message Test Designer 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

Message Test Designer

Use when the user asks to "test our messaging before we scale it", "design a message-market-fit panel", or "run a 5-second comprehension test on our new tagl... Skill: Message Test Designer Owner: aaron-he-zhu Summary: Use when the user asks to "test our messaging before we scale it", "design a message-market-fit panel", or "run a 5-second comprehension test on our new tagl... Tags: latest:19.0.0 Version history: v19.0.0 | 2026-07-24T14:49:35.132Z | auto message-test-designer v19.0.0 - Updated SKILL.md to increment version and metadata to 19.0.0. - Added distribution-manifes

OpenClaw

View on ClawHub Homepage

Rank

Safety

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:message-test-designer

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-message-test-designer/snapshot"

Documentation

CLAWHUB

113,531 characters of source documentation, loaded on request.

Extracted files

4 files captured from the source.

SKILL.md

---
name: message-test-designer
slug: aaron-message-test-designer
displayName: "Message Test Designer · 消息测试设计"
summary: "消息理解度/五秒/消息-市场契合面板测试设计"
description: 'Use when the user asks to "test our messaging before we scale it", "design a message-market-fit panel", or "run a 5-second comprehension test on our new tagline"; produces a message-test design spec — hypothesis, panel and recruit criteria, comprehension / 5-second / message-market-fit (Wynter-style) protocols, stimulus set drawn from the canon, success thresholds, and a stop/revise decision rule — for the TALE Evaluate phase so the message is validated before any paid scale. It designs the test; it never runs the experiment or adjudicates a claim. Not for running the panel or A/B experiment — use send-experiment-designer or ad-test-designer; not for analyzing the results — use performance-analyzer; not for authoring the message itself — use message-system-architect. 消息测试/理解度测试/面板设计/五秒测试/消息市场契合'
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 you have a candidate message (tagline, one-liner, value pillars, or a per-surface message-match spec) and want to validate it with a target panel before spending on scale: designing the comprehension test, the 5-second recall test, or the Wynter-style message-market-fit panel — hypothesis, recruit criteria, stimulus set from the canon, success thresholds, and the stop/revise rule. The design layer of the TALE Evaluate phase; execution is handed to the experiment builders and analysis to performance-analyzer. Not for running the test and not for authoring the message."
argument-hint: "<message / tagline / surface> [target panel] [candidate variants]"
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"}}
---

# Message Test Designer

Designs the pre-scale message validation for a candidate narrative — the hypothesis, the target panel and recruit criteria, the comprehension / 5-second / message-market-fit (Wynter-style) protocols, the stimulus set drawn from the canon, the success thresholds, and the stop/revise decision rule. It sits in the **Evaluate** phase of the TALE loop and feeds the `E` sub-item *the message is tested before scale* (comprehension / 5-second / message-market-fit panel) — see [tale-benchmark.md](../../../references/tale-benchmark.md). Its output is a **test design spec only**: this skill designs the test, hands execution to the experiment builders, and never runs the panel, analyzes results, or adjudicates a claim. It also encodes the `E1` discipline downstream — a message that fails its test triggers revision, not louder repetition (the

_meta.json

{
  "ownerId": "kn73qjxwmbna25qq8q051epqt980sys5",
  "slug": "message-test-designer",
  "version": "19.0.0",
  "publishedAt": 1784904575132
}

skill-card.md

## Description:

Message Test Designer helps agents design pre-scale message validation specs with measurable hypotheses, target panel criteria, comprehension or 5-second or message-market-fit protocols, success thresholds, and stop-or-revise rules.

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 growth teams use this skill to design message validation before paid scale. It produces a test design spec for candidate taglines, one-liners, value pillars, or surface-specific message variants without running the experiment or adjudicating claims.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The skill may read narrative and claims memory and, with user confirmation, save test specs or propose claim or narrative updates.

Mitigation: Review requested memory writes before confirming and keep claim or narrative updates in the designated proposal flow.

Risk: The skill includes limited significance-check guidance that is not a substitute for full result analysis.

Mitigation: Use the named analyzer skill or reviewer judgment for full analysis of returned experiment results.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/aaron-he-zhu/skills/message-test-designer)
- [Project homepage](https://github.com/aaron-he-zhu/aaron-marketing-skills)

## Skill Output:

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

**Output Format:** [Markdown test design spec]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [May include estimated panel-size assumptions, needs-source claim markers, handoff summaries, and stop-or-revise decision rules.]

## Skill Version(s):

19.0.0 (source: server release 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": 14321,
      "mode": "0644",
      "path": "SKILL.md",
      "sha256": "a08e757fafcea24cffb8d59a14b52e41741ba02e2d54abedaa179a5b5e802c6d"
    }
  ],
  "files_sha256": "3a8b1cbc022b5db2807ce36669685c4707c631d3a2492218e35cb4e8902c2a03",
  "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.