What makes Send Experiment Designer notable?

1.2K downloads. Trust evidence available

How should Send Experiment 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

Send Experiment Designer

Use when the user asks to "design an email A/B test", "set up a multivariate subject/CTA test", "run a send-time test", "build a hold-out group", or "is this... Skill: Send Experiment Designer Owner: aaron-he-zhu Summary: Use when the user asks to "design an email A/B test", "set up a multivariate subject/CTA test", "run a send-time test", "build a hold-out group", or "is this... Tags: latest:19.0.0 Version history: v19.0.0 | 2026-07-24T15:08:42.394Z | auto - Updated version to 19.0.0. - Added distribution-manifest.json for improved distribution or deployment management. - R

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.2k

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. 1.2K 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: 1.2K 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:send-experiment-designer

Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
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-send-experiment-designer/snapshot"

Documentation

CLAWHUB

135,689 characters of source documentation, loaded on request.

Extracted files

4 files captured from the source.

SKILL.md

---
name: send-experiment-designer
slug: aaron-send-experiment-designer
displayName: "Send Experiment Designer · 邮件AB测试设计"
summary: "邮件AB测试设计/多变量测试/发送时间测试/留出组/显著性判定"
description: 'Use when the user asks to "design an email A/B test", "set up a multivariate subject/CTA test", "run a send-time test", "build a hold-out group", or "is this email result statistically and practically material?"; produces a falsifiable hypothesis, one-variable-per-cell matrix, sample-size/MDE/duration/power plan, and an effect/uncertainty read from own ESP data. Applies only a precommitted owner-approved action rule; the helper never chooses a business action. Not for EQS/vetoes or writing the email. 邮件AB测试设计/多变量测试/发送时间测试/留出组/显著性判定'
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 designing an email A/B, multivariate, send-time, or hold-out experiment, or when reading effect size, uncertainty, and guardrails from a finished ESP export. Apply an action only under a precommitted rule with a named owner; otherwise return decision UNDECIDED. Not for EQS/vetoes or writing the email."
argument-hint: "<what to test / results export> [mode: a-b|multivariate|send-time|hold-out] [profile: promotional|retention|cold-outbound|newsletter] [baseline] [alpha/power/MDE]"
metadata: {"author": "aaron-he-zhu", "version": "19.0.0", "discipline": "email", "phase": "deliver", "geo-relevance": "low", "hermes": {"tags": ["marketing", "email", "deliver"], "category": "email"}, "openclaw": {"emoji": "✉️", "homepage": "https://github.com/aaron-he-zhu/aaron-marketing-skills"}}
---

# Send Experiment Designer

Designs email experiments across four modes and reads them out: a falsifiable hypothesis, a variant matrix that isolates **one** variable per cell, a sample-size / minimum-detectable-effect / run-duration / power plan, and a documented effect/uncertainty read. It may apply an owner-approved precommitted action rule, but statistical output alone never chooses a business action.

**Mode set (pick one):**

| Mode | Isolated variable | Primary metric |
|------|-------------------|----------------|
| `a-b` | one change — subject *or* preheader *or* CTA *or* creative | open (subject) / click / CTOR (CTA/creative) |
| `multivariate` | 2+ factors crossed (e.g. subject × CTA), one variable per cell | the goal metric, powered per cell |
| `send-time` | deploy hour/day; subject, segment, creative held constant | same-window engagement (open/click) |
| `hold-out` | send vs no-send (randomized control receives nothing / current default) | conversion or revenue-per-recipient (incremental lift) |

Default the mode from the request when it is unambiguous (e.g. "test two subject lines" → `a-b`, "best hour to send" → `send-time`, "measure incremental revenue" → `hold-out`); state the picked mode back and proceed.

**Scope guard:** this skill owns email **experiment design

_meta.json

{
  "ownerId": "kn73qjxwmbna25qq8q051epqt980sys5",
  "slug": "send-experiment-designer",
  "version": "19.0.0",
  "publishedAt": 1784905722394
}

skill-card.md

## Description:

Designs email A/B, multivariate, send-time, and hold-out experiments and reads finished ESP results for effect size, uncertainty, statistical significance, practical materiality, and guardrails without choosing a business action on its own.

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 operators, lifecycle teams, and analysts use this skill to design controlled email experiments, plan sample size and duration, and read completed campaign results with documented uncertainty and guardrails. It is intended for experiment planning and interpretation, not for writing email creative or making the final business decision.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The skill may process email performance, conversion, and revenue data supplied by the user.

Mitigation: Use manual exports or scoped ESP access where possible, and avoid providing data that is not needed for the experiment design or read-out.

Risk: Saved memory can preserve summarized experiment context for future sessions.

Mitigation: Approve memory saving only when the summarized context is appropriate to retain.

Risk: Statistical output could be mistaken for an automatic business decision.

Mitigation: Require a named owner and precommitted action rule; otherwise keep the result at decision: UNDECIDED.

## Reference(s):

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

## Skill Output:

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

**Output Format:** [Markdown test-design or read-out document with optional inline shell command examples]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [May include a Handoff Summary, calculated effect and uncertainty fields, guardrail status, and decision: UNDECIDED when no owner-approved action rule exists.]

## Skill Version(s):

19.0.0 (source: evidence release 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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  "kind": "standalone-skill",
  "manifest_excludes": [
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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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