What makes Participation Warmup Planner notable?

1K downloads. Trust evidence available

How should Participation Warmup Planner 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

Participation Warmup Planner

Use when the user asks to "plan the participation ramp before we promote", "how much account history or karma do we need in this community", or "design entry... Skill: Participation Warmup Planner Owner: aaron-he-zhu Summary: Use when the user asks to "plan the participation ramp before we promote", "how much account history or karma do we need in this community", or "design entry... Tags: latest:19.0.0 Version history: v19.0.0 | 2026-07-24T14:58:17.909Z | auto Version 19.0.0 - Bumped version to 19.0.0 and updated references in metadata. - Added distribution-manifest.json to

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:participation-warmup-planner

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-participation-warmup-planner/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

85,490 characters of source documentation, loaded on request.

Extracted files

4 files captured from the source.

SKILL.md

---
name: participation-warmup-planner
slug: aaron-participation-warmup-planner
displayName: "Participation Warmup Planner · 参与预热计划"
summary: "社区参与预热/先给后取台账/规则摘要/warming毕业标准"
description: 'Use when the user asks to "plan the participation ramp before we promote", "how much account history or karma do we need in this community", or "design entry incentives and member lifecycle for our own Discord"; produces the per-community pre-promotion warming plan — account-history/tenure expectations (Estimated, named sources), a give-before-ask ledger spec, a per-community etiquette + rule digest with last-verified dates, and the warming → active graduation criteria that channel-registry requires as state-transition evidence — plus the owned-community variant (entry paths + member lifecycle for your own Discord/Slack/forum/企业微信私域). Not for launch-day submissions or T-0 threads — use community-launch-runner. 社区预热/先给后取/账号养成/毕业标准'
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 channels are chosen but not yet promoted in: designing the authentic-participation ramp per community (account-history expectations, give-before-ask ledger spec, etiquette and rule digest with last-verified dates), setting the warming → active graduation criteria the channel registry records as transition evidence, or designing entry incentives and member lifecycle for an owned Discord/Slack/forum/企业微信 space. Picks up the phased-entry handoff from audience-mapper niche mode and builds the account standing community-launch-runner presumes at T-0. Not the launch-day submission plan itself."
argument-hint: "<community list or owned space> [target promotion window] [existing account history]"
metadata: {"author": "aaron-he-zhu", "version": "19.0.0", "discipline": "social", "phase": "explore", "geo-relevance": "low", "hermes": {"tags": ["marketing", "social", "explore"], "category": "social"}, "openclaw": {"emoji": "📣", "homepage": "https://github.com/aaron-he-zhu/aaron-marketing-skills"}}
---

# Participation Warmup Planner

Designs the pre-promotion ramp that makes a brand a member before it is a marketer — per-community account-history expectations, a give-before-ask ledger spec, an etiquette + rule digest with last-verified dates, and the warming → active graduation criteria that [channel-registry](../../../protocol/channel-registry/SKILL.md) requires as state-transition evidence. It is the fourth move of the ECHO **Explore** phase and feeds four ECHO `E` sub-items directly: *participation-before-promotion* (E2), *give:ask ledger maintained* (E3), *owned-space entry and member-lifecycle health* (E6), and the *cross-community rule-conflict check* (E10) — see [echo-benchmark.md](../../../references/echo-benchmark.md). It picks up the phased-entry handoff from [audience-mapper](../../../influencer/scout/audience-mapper/SKILL.md) niche mode and builds

_meta.json

{
  "ownerId": "kn73qjxwmbna25qq8q051epqt980sys5",
  "slug": "participation-warmup-planner",
  "version": "19.0.0",
  "publishedAt": 1784905097909
}

skill-card.md

## Description:

Participation Warmup Planner helps agents create per-community pre-promotion warming plans with account-history expectations, give-before-ask ledger specs, rule digests, human-executed cadence, graduation criteria, and owned-community lifecycle guidance.

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:

External marketing and community teams use this skill after channels are selected to plan authentic participation before promotion. It helps an agent produce per-community etiquette, account-standing expectations, participation cadence, and graduation evidence for moving a channel from warming to active.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Planning notes and proposed channel facts may be stored in a memory workspace after confirmation.

Mitigation: Confirm before saving and review any proposed memory or registry updates before accepting them.

Risk: User exports or screenshots from community platforms may contain private account or community information.

Mitigation: Provide only the necessary details and redact sensitive identifiers or private content before use.

Risk: Community rules and account-history expectations can change or may be estimated from named sources.

Mitigation: Require dated rule digests, named sources, and last-verified dates before treating the plan as current.

## Reference(s):

- [Project homepage](https://github.com/aaron-he-zhu/aaron-marketing-skills)

## Skill Output:

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

**Output Format:** [Markdown planning document with checklists, ledger specifications, rule digests, cadence guidance, graduation criteria, and a handoff summary]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [May include proposed memory or registry facts only after user approval.]

## Skill Version(s):

19.0.0 (source: server evidence and 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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    "canonical-state-read"
  ],
  "capability_ceiling": "lite",
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    }
  ],
  "files_sha256": "3d48e3df620b1c4ae744a4feae5a0dffa056c17da4997e05e5e6faced2a8f0ca",
  "hash_algorithm": "sha256",
  "kind": "standalone-skill",
  "manifest_excludes": [
    "distribution-manifest.json"
  ],
  "manifest_path": "distribution-manifest.json",
  "package_ceiling": {
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    "max_files": 64
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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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