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Install in OpenClaw
/install ticket-signal-watch
Description
Monitor ticket pages or backend ticket data for sale, restock, presale, or status-change signals; emit structured alerts that can be pushed to OpenClaw chann...
Usage Guidance
This skill appears coherent for monitoring ticket pages. Before running: inspect and control the targets.json you feed it (don't include internal-only URLs if running in a shared/cloud agent), ensure the state and notifier paths are writable and stored where you want data retained, and avoid placing secret tokens in plain text files unless you accept that risk. Note the example notifier shows webhook headers but the script does not automatically POST alerts — you'll need to wire notifications yourself (or extend the script). Also respect terms of service and anti-bot protections of target sites; the script will flag anti-bot pages but does not bypass them.
Capability Analysis
Type: OpenClaw Skill
Name: ticket-signal-watch
Version: 0.1.0
The skill is a legitimate ticket monitoring tool designed to fetch web pages and detect sale or restock signals using keyword matching. The main script, `scripts/watch_ticket_pages.py`, uses standard Python libraries to perform HTTP requests and process HTML content without any signs of malicious execution, data exfiltration, or obfuscation. The instructions in `SKILL.md` are well-defined and include appropriate guardrails for the agent, such as handling anti-bot detection and avoiding claims of automated checkout.
Capability Assessment
Purpose & Capability
Name/description match the included files: the script fetches pages, looks for ticket-related keywords, tracks state, and emits structured results. Requiring python3 and providing example configs is proportionate.
Instruction Scope
SKILL.md and the script stay within the stated purpose. The script fetches arbitrary URLs listed in the targets config and writes a state JSON. That behavior is expected, but be aware it will make outbound requests to any URL you place in targets (including internal endpoints if run in a networked/cloud environment). The script does not read other system files or environment variables.
Install Mechanism
This is an instruction-only skill with no install steps; no external packages or downloads are performed. Lowest-risk install footprint.
Credentials
The skill declares no required credentials or env vars. Example notifier config shows webhook URLs and Authorization headers — those are user-provided values you may store in config files. Storing secrets in plain JSON files has usual operational risks; the skill itself does not require or exfiltrate credentials.
Persistence & Privilege
always is false and the script only writes its own state JSON (and would write to any file path you configure). It does not modify other skills or system settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install ticket-signal-watch - After installation, invoke the skill by name or use
/ticket-signal-watch - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial public release: monitor ticket status signals from pages or backend data and emit push-ready alerts.
Metadata
Frequently Asked Questions
What is Ticket Signal Watch?
Monitor ticket pages or backend ticket data for sale, restock, presale, or status-change signals; emit structured alerts that can be pushed to OpenClaw chann... It is an AI Agent Skill for Claude Code / OpenClaw, with 150 downloads so far.
How do I install Ticket Signal Watch?
Run "/install ticket-signal-watch" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Ticket Signal Watch free?
Yes, Ticket Signal Watch is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Ticket Signal Watch support?
Ticket Signal Watch is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Ticket Signal Watch?
It is built and maintained by armysheng (@armysheng); the current version is v0.1.0.
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