cron-gatePre-checks sessions for new messages via a zero-token Python script to trigger expensive OpenClaw crons only when new activity exists, saving tokens.
Install via ClawdBot CLI:
clawdbot install ori-claw/cron-gateGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Accesses system directories or attempts privilege escalation
/var/log/Calls external URL not in known-safe list
http://127.0.0.1:18789AI Analysis
The skill interacts only with the local OpenClaw API (127.0.0.1) to trigger crons based on local session data, which aligns with its stated purpose. The primary risk is the script's ability to write to system directories like /var/log/, which could be misused but is not inherently malicious. No evidence of data exfiltration, credential harvesting, or obfuscation exists.
Audited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
A customer support AI agent processes chat logs from multiple platforms (e.g., Telegram, Discord) twice daily to update memory with new conversations. Cron Gate prevents unnecessary LLM sessions when no new messages have been received, reducing token costs by 60-80% while ensuring timely integration of actual support interactions.
A marketing team uses an AI agent to analyze social media posts and comments for brand mentions daily. Cron Gate checks for new activity on platforms like Twitter or Facebook before triggering expensive LLM analysis, avoiding token waste during quiet periods and focusing resources on active engagement.
An AI personal assistant scans email inboxes periodically for important messages or tasks. Cron Gate gates the LLM cron by first checking for new emails, ensuring the assistant only wakes up when there are unread emails to process, saving tokens and improving efficiency for users with sporadic email traffic.
A project management AI agent integrates notifications from tools like Slack or Jira to update task statuses. Cron Gate verifies new notifications before triggering the LLM cron, preventing unnecessary sessions during inactive periods and reducing costs for teams with fluctuating project activity.
An AI agent monitors API health and performance across multiple services on a schedule. Cron Gate performs a cheap check for API status changes before invoking the LLM for detailed analysis, ensuring token usage is reserved for actual issues rather than routine checks.
Offer Cron Gate as a managed service for businesses using AI agents, charging a monthly fee based on token savings achieved. This model targets companies with high LLM usage, providing clear ROI through reduced operational costs and improved efficiency in AI workflows.
Provide consulting to integrate Cron Gate into existing AI agent setups, including customization for specific use cases and platforms. This model appeals to organizations lacking in-house expertise, with revenue from one-time setup fees and ongoing support contracts.
Distribute Cron Gate as open-source software while offering premium features like advanced analytics, multi-agent support, or cloud integration for enterprise clients. This model builds community adoption and monetizes through upselling enhanced capabilities.
💬 Integration Tip
Start by mapping your most expensive crons to sessions in the SESSION_CRONS dict, and always test with --dry-run first to verify triggers before disabling original crons.
Scored Apr 19, 2026
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