Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· Developer Tools
Agent Analytics
Web analytics platform that AI agents can query via CLI. Track page views, custom events, run A/B experiments, analyze funnels, retention cohorts, and traffi...
skill openclawclawhub Free
Web analytics platform that AI agents can query via CLI. Track page views, custom events, run A/B experiments, analyze funnels, retention cohorts, and traffi...
β¬ 0 downloads β
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 4.0.3
Provenance
- Publisher
- dannyshmueli
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Agent Analytics
After install, your agent can create projects, ship tracking, query analytics, run experiments, and iterate without opening a dashboard. English-first workflow, with Chinese docs and content available for OpenClaw users and teams in China. Use it when you want an agent to operate growth analytics end-to-end, automate recurring checks, and manage multiple projects from one conversation loop. Hosted free tier includes 100k events/month across 2 projects.
Chinese support / δΈζζ―ζ
Chinese docs and installation content are available on the docs site, including the OpenClaw guide under /zh/. Works through API, CLI, and MCP, depending on the environment your agent already uses. Good fit for closed-loop agent workflows: monitor, analyze, experiment, iterate. Supports batch work across many projects instead of a manual dashboard-by-dashboard workflow.
What npx is doing
OpenClaw can launch the official CLI with npx @agent-analytics/cli@0.5.1. That command runs the published Agent Analytics CLI package from npm. The CLI calls the same HTTP API documented at https://docs.agentanalytics.sh/api/. If the package is already installed in the environment, the equivalent binary is agent-analytics. Keep AGENT_ANALYTICS_API_KEY in the environment. Do not ask the user to paste secrets into chat.
Command format
The examples below use the CLI binary form: agent-analytics <command> In OpenClaw, that usually means: npx @agent-analytics/cli@0.5.1 <command> If the package is already installed, run the same commands directly as agent-analytics <command>. For the full command list and flags: agent-analytics --help
Safe operating rules
Prefer fixed commands over ad-hoc query construction. Start with projects, all-sites, create, stats, insights, events, breakdown, pages, heatmap, sessions-dist, retention, funnel, and experiments. Use query only when the fixed commands cannot answer the question. Do not build --filter JSON from raw user text. Validate project names before create: ^[a-zA-Z0-9._-]{1,64}$
First-time setup
agent-analytics login --token aak_YOUR_API_KEY agent-analytics create my-site --domain https://mysite.com agent-analytics events my-site --days 7 --limit 20 The create command returns a project token and a ready-to-use tracking snippet. Add that snippet before </body>.
Common commands
agent-analytics projects agent-analytics all-sites --period 7d agent-analytics stats my-site --days 7 agent-analytics insights my-site --period 7d agent-analytics events my-site --days 7 --limit 20 agent-analytics breakdown my-site --property path --event page_view --limit 10 agent-analytics funnel my-site --steps "page_view,signup,purchase" agent-analytics retention my-site --period week --cohorts 8 agent-analytics experiments list my-site If a task needs something outside these common flows, use agent-analytics --help first.
Tracker setup
The easiest install flow is: Run agent-analytics create my-site --domain https://mysite.com Copy the returned snippet into the page before </body> Deploy Verify with agent-analytics events my-site --days 7 --limit 20 If you already know the project token, the tracker looks like: <script defer src="https://api.agentanalytics.sh/tracker.js" data-project="my-site" data-token="aat_..."></script> Use window.aa?.track('signup', {method: 'github'}) for custom events after the tracker loads.
Query caution
agent-analytics query exists for advanced reporting, but it should be used carefully because --filter accepts JSON. Use fixed commands first. If query is necessary, check agent-analytics --help first. Do not pass raw user text directly into --filter. For exact request shapes, use https://docs.agentanalytics.sh/api/.
Experiments
The CLI supports the full experiment lifecycle: agent-analytics experiments list my-site agent-analytics experiments create my-site --name signup_cta --variants control,new_cta --goal signup
References
Docs: https://docs.agentanalytics.sh/ API reference: https://docs.agentanalytics.sh/api/ CLI vs MCP vs API: https://docs.agentanalytics.sh/reference/cli-mcp-api/ OpenClaw install guide: https://docs.agentanalytics.sh/installation/openclaw/
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md