What makes Launch Monitor notable?

1K downloads. Trust evidence available

How should Launch Monitor 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

Launch Monitor

Use when the user asks to "monitor my launch", "track our Product Hunt / Hacker News ranking", or "watch the launch window"; runs the T-0 to T+30 window watc... Skill: Launch Monitor Owner: aaron-he-zhu Summary: Use when the user asks to "monitor my launch", "track our Product Hunt / Hacker News ranking", or "watch the launch window"; runs the T-0 to T+30 window watc... Tags: latest:19.0.0 Version history: v19.0.0 | 2026-07-24T14:43:02.178Z | auto launch-monitor 19.0.0 - Updated skill metadata and documentation to version 19.0.0 in SKILL.md. - Added new file: distribution-ma

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:launch-monitor

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-launch-monitor/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

81,851 characters of source documentation, loaded on request.

Extracted files

4 files captured from the source.

SKILL.md

---
name: launch-monitor
slug: aaron-launch-monitor
displayName: "Launch Monitor · 发布窗口监控"
summary: "发布监控/排名轮询/火焰战比/spike-sustain"
description: 'Use when the user asks to "monitor my launch", "track our Product Hunt / Hacker News ranking", or "watch the launch window"; runs the T-0 to T+30 window watch — pre-launch instrumentation verification (UTM/event checks, the upstream of RAMP P1), HN rank/points/comments polling with a comments-over-points flamewar early-warning (Estimated heuristic), PH votes/featured status, store charts and reviews, news echo, D0/W1/M1 KPI snapshots vs targets, spike-vs-sustain and owned-capture reads, and alert thresholds against the launch-tier KPI targets. Not for launch-day go/rollback calls — use launch-day-conductor; not for metric deep-dives — use performance-analyzer; not for SEO rank tracking — use rank-tracker. 发布监控/排名轮询/火焰战比/spike-sustain'
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 watching an active launch window (T-0 to T+30): verifying instrumentation before launch (UTM and conversion events per surface), polling HN rank/points/comments with a flamewar early-warning, Product Hunt votes/featured status, app-store charts and reviews, and news echo; producing D0/W1/M1 KPI snapshots vs targets, spike-vs-sustain and owned-capture reads, and threshold alerts. The window watcher below the day-of runbook (launch-day-conductor) and upstream of the retro (launch-retro-analyzer)."
argument-hint: "<launch date / platforms> [KPI targets] [--pre-launch | --snapshot D0|W1|M1]"
allowed-tools: WebFetch
metadata: {"author": "aaron-he-zhu", "version": "19.0.0", "discipline": "launch", "phase": "prove", "geo-relevance": "low", "hermes": {"tags": ["marketing", "launch", "prove"], "category": "launch"}, "openclaw": {"emoji": "🚀", "homepage": "https://github.com/aaron-he-zhu/aaron-marketing-skills"}}
---

# Launch Monitor

Watches the launch window — T-0 through T+30 — so traction is verifiable while it happens, not reconstructed afterwards. It is the first Prove-phase skill in the [RAMP loop](../../../references/ramp-benchmark.md): its pre-launch mode verifies measurement instrumentation on every launch surface (the direct upstream of the `P1` veto — untagged surfaces make traction unverifiable), and its window mode feeds the RAMP `P` sub-items for instrumentation, per-channel attribution reconciled against own analytics, KPI actuals vs targets at D0/W1/M1, spike-vs-sustain retention, and owned-capture rate. The live watch itself is the evidence behind the `M` live-monitoring-coverage sub-item.

Telemetry comes from keyless or free-key connectors — `scripts/connectors/hn.py` (keyless), `scripts/connectors/producthunt.py` (free-key developer token; non-commercial API ToS — business use needs Product Hunt approval, attribution required), `scripts/connectors/appstore.py` (keyless docum

_meta.json

{
  "ownerId": "kn73qjxwmbna25qq8q051epqt980sys5",
  "slug": "launch-monitor",
  "version": "19.0.0",
  "publishedAt": 1784904182178
}

skill-card.md

## Description:

Launch Monitor helps agents verify launch instrumentation and monitor T-0 to T+30 performance signals across Hacker News, Product Hunt, app stores, news echo, and KPI snapshots while routing launch decisions to the appropriate follow-on skills.

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, growth, and product teams use this skill during an active launch window to verify tracking, poll launch-platform signals, compare D0/W1/M1 metrics to targets, and prepare alerts and handoff summaries.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Launch analytics exports, platform tokens, or pasted metrics may contain sensitive operational data.

Mitigation: Provide only data and tokens appropriate for this workflow, prefer scoped or free-key access where possible, and avoid sharing unrelated analytics exports.

Risk: The skill may save launch snapshots or propose memory updates.

Mitigation: Review proposed writes and saved summaries before approval, especially when they include KPI targets or platform performance data.

Risk: Web and API results or pasted community threads may contain misleading or untrusted content.

Mitigation: Treat external content as telemetry only and review alerts before acting on launch decisions.

## Reference(s):

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

## Skill Output:

**Output Type(s):** [Text, Markdown, Guidance]

**Output Format:** [Markdown reports and summaries with labeled metrics, alerts, and handoff notes]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Metrics should be labeled as Measured, User-provided, or Estimated; memory writes are proposed for review when used.]

## 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

{
  "capabilities": [
    "inline-delivery",
    "canonical-state-read"
  ],
  "capability_ceiling": "lite",
  "catalog_sha256": "6f0256cf52710f2916ecebaea0f3110c9313099ec4a69a11cac72ba9b2f3b940",
  "files": [
    {
      "bytes": 13242,
      "mode": "0644",
      "path": "SKILL.md",
      "sha256": "b3cb659f04de0b707efc6647c5854d1ab9c6b441657da1cf74d22b69bdedd867"
    }
  ],
  "files_sha256": "279d8b207ddaf3851063b45f32d6aa6e53c0f29590fbd7a274b55e3c15095819",
  "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.

MCPOPENCLAW

Github ReposUpdated 7mo agoRank 70

CopilotKit

The Frontend for Agents & Generative UI. React + Angular