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 channels, webhooks, or other notification backends. Use when users want reliable ticket notifications rather than automated checkout.
Best use case
ticket-signal-watch is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Monitor ticket pages or backend ticket data for sale, restock, presale, or status-change signals; emit structured alerts that can be pushed to OpenClaw channels, webhooks, or other notification backends. Use when users want reliable ticket notifications rather than automated checkout.
Teams using ticket-signal-watch should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/ticket-signal-watch/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How ticket-signal-watch Compares
| Feature / Agent | ticket-signal-watch | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Monitor ticket pages or backend ticket data for sale, restock, presale, or status-change signals; emit structured alerts that can be pushed to OpenClaw channels, webhooks, or other notification backends. Use when users want reliable ticket notifications rather than automated checkout.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Ticket Signal Watch
This skill is for reliable ticket notifications, not automated checkout.
Use it when:
- a user wants to monitor ticket sale or restock signals
- a backend already has ticket data and needs a push-ready event format
- you want OpenClaw to check official pages, search pages, or other text sources for ticket signals
## Files
- Skill root: `{baseDir}`
- Script: `{baseDir}/scripts/watch_ticket_pages.py`
- Target example: `{baseDir}/config/targets.example.json`
- Notifier example: `{baseDir}/config/notifiers.example.json`
- Default state path: `{baseDir}/state/state.json`
## Operating model
Treat the workflow as three layers:
1. `collector`
- fetch page text or consume backend data
2. `signal engine`
- decide whether the change is meaningful
3. `notifier`
- push the resulting event to OpenClaw channels, webhooks, or another downstream system
The ideal production setup is:
- use backend data if available
- fall back to page checks only when needed
- keep collection and notification decoupled
## Recommended usage
Run the script with a target config and a writable state file:
```bash
python3 "{baseDir}/scripts/watch_ticket_pages.py" \
--config "{baseDir}/config/targets.example.json" \
--state "{baseDir}/state/state.json" \
--json
```
If `alerts` is empty, do not send a notification.
If `alerts` is non-empty, forward the structured result to:
- an OpenClaw channel
- a webhook
- a file/queue processor
## Output expectations
The script should produce:
- `results`: per-target check results
- `alerts`: only meaningful changes worth notifying
- `summary`: short human-readable summary
Each alert should contain enough information to route downstream:
- `name`
- `platform`
- `url`
- `signal_hits`
- `signal_level`
- `alert_reasons`
## Configuration guidance
Prefer official detail pages over generic search pages.
Use:
- `require_all` for identity words that must be present
- `match_any` for actionable signal words
- `signal_keywords.high` for the strongest signals
Examples of strong signals:
- `立即购买`
- `立即预订`
- `可选座`
- `有票`
- `开售`
- `预售中`
- `补票`
- `回流`
- `加场`
## Guardrails
- Do not treat generic page changes as sale signals.
- Search pages are weaker than detail pages.
- Add cooldown, dedupe, and jitter before high-frequency polling.
- If a platform starts returning anti-bot pages or challenge pages, mark that explicitly instead of claiming success.
- This skill is for notification workflows; do not imply that it can safely complete checkout automatically.Related Skills
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