Why burn tokens? Audit AI agent cron jobs, replace mechanical ones with local scripts. Includes yburn-health (system monitor) and yburn-watch (uptime monitor).
Project description
yburn
Why burn tokens on tasks that don't think?
Audit your AI agent cron jobs, identify the ones that never needed an LLM, and replace them with local scripts that run in under a second and cost nothing. Plus standalone health monitoring tools that work on any machine.
pip install yburn
30-Second Quickstart
# See what you're burning tokens on
yburn audit
# Check your system health (no tokens, no LLM, instant)
yburn-health
# Monitor your endpoints
yburn-watch https://yoursite.com https://api.yoursite.com/health
That's it. Three commands. Zero configuration needed.
The Problem
Real numbers from a live 97-cron OpenClaw deployment (March 2026):
- 51 of 97 crons (53%) were mechanical - the LLM was doing nothing a shell script couldn't do faster
- ~30 seconds per LLM cron drops to under 1 second with a local script
- Common culprits: system health checks, DB maintenance, git backups, cron audits, uptime monitoring
Your AI agent is spending 30 seconds and burning tokens to check if your disk is full. A Python script does it in 200ms for free.
The community has been discovering this one job at a time. Developers at Moltbook AI manually replaced OpenClaw crons with Python scripts. Others cut AI agent costs by 60% by auditing crons and switching models. Yburn automates what they all did by hand.
What's In The Box
The Audit Engine (scan, classify, convert, replace, rollback)
Five verbs, one tool, zero tokens after conversion:
$ yburn audit
Scanning cron jobs...
Found 97 jobs. Classifying...
Mechanical: 51 jobs (convertible)
Reasoning: 16 jobs (kept as-is)
Unsure: 30 jobs (need your input)
--- MECHANICAL (convertible) ---
DB Maintenance - Daily Full [enabled]
Score: mech=16 reason=0 conf=1.00
Template -> system-diagnostics
Nightly Backup + Git Commit [enabled]
Score: mech=17 reason=2 conf=0.79
Template -> git-backup-status
Daily Cron Health Report [enabled]
Score: mech=11 reason=1 conf=0.83
Template -> cron-health-report
...
Classification is deterministic keyword scoring. No LLM call needed. The tool that finds your LLM waste does not itself create LLM waste.
yburn-health: System Health Monitor
Three modes for three audiences. One install.
Universal (any machine):
$ yburn-health
yburn-health v1.0.0
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
✅ CPU: 12% (10 cores)
✅ Memory: 8.2/16 GB (51%)
✅ Disk /: 45% (234 GB free)
⚠️ Disk /data: 87% (12 GB free)
✅ Load: 1.2, 0.8, 0.5
✅ Uptime: 14 days, 3 hours
✅ Docker: 12 containers (11 running)
✅ Network: reachable (23ms)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Status: WARNING (1 alert)
OpenClaw users get gateway, cron, session, and channel health:
$ yburn-health --openclaw
... (all universal checks) ...
--- OpenClaw ---
✅ Gateway: running (v0.26.1, up 3d 14h)
✅ Crons: 97 total (92 enabled, 5 disabled)
⚠️ Cron failures: 2 jobs with 3+ consecutive failures
✅ Sessions: 4 active, 0 stuck
✅ Channels: Telegram connected, Discord connected
✅ Memory DB: 142 MB (healthy)
Claude Code users get scheduled task and session checks:
$ yburn-health --claude-code
... (all universal checks) ...
--- Claude Code ---
✅ CLI: claude available (v1.2.3)
✅ Sessions: 3 recent
✅ Scheduled tasks: 5 active, 0 expired
yburn-watch: Endpoint and Uptime Monitor
$ yburn-watch https://clelp.ai https://api.example.com/health
yburn-watch v1.0.0
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
✅ https://clelp.ai - 200 OK (285ms)
SSL: valid, 35 days remaining
✅ https://api.example.com/health - 200 OK (89ms)
SSL: valid, 45 days remaining
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Status: ALL UP (2 endpoints)
Checks HTTP status, response time, and SSL certificate expiry. Warns at 14 days, critical at 7.
Installation
pip install yburn
Requires Python 3.9+. Works on macOS and Linux (including WSL).
The flagship tools (yburn-health, yburn-watch) use stdlib only. Zero dependencies. The audit engine uses requests and pyyaml (installed automatically).
How The Audit Engine Works
scan -> classify -> convert -> replace -> (rollback if needed)
-
Scan: Reads your cron jobs via
openclaw cron list(or any JSON file with--file). -
Classify: Scores each job against weighted keyword sets. Mechanical signals: shell commands, file ops, status checks. Reasoning signals: analysis, drafting, strategy, synthesis. No LLM call needed.
-
Convert: Matches mechanical jobs to built-in templates. Generates standalone Python scripts that replicate the job without an LLM. Preview before confirming.
-
Replace: Disables the original LLM cron, activates the script-based equivalent on the same schedule. Tracks everything for rollback.
-
Rollback: One command restores the original.
yburn rollback <job-id>. Originals are never deleted.
Full Command Reference
Audit
yburn audit # Scan and classify all cron jobs
yburn audit --verbose # Show reasoning jobs too
yburn audit --threshold 2 # Lower threshold (more jobs classified)
yburn audit --file jobs.json # Audit from a JSON file
Convert
yburn convert <job-id> # Convert one job to a local script
yburn convert --all # Convert all mechanical jobs
yburn convert --all --dry-run # Preview without writing files
Replace
yburn replace <job-id> # Swap original cron for script version
yburn replace <job-id> --yes # Skip confirmation
yburn replace <job-id> --dry-run
List, Test, Rollback
yburn list # Show all active replacements
yburn test <job-id> # Run converted script once, show output
yburn rollback <job-id> # Restore original cron
Health and Watch
yburn-health # System health (universal)
yburn-health --openclaw # + OpenClaw checks
yburn-health --claude-code # + Claude Code checks
yburn-health --json # JSON output for piping
yburn-health --processes nginx,postgres # Watch specific processes
yburn-watch https://example.com # Check one URL
yburn-watch url1 url2 url3 # Check multiple
yburn-watch --json # JSON output
yburn-watch --timeout 5 # Custom timeout (seconds)
yburn-watch --warn-ms 2000 # Response time warning threshold
Alert Channels
Both yburn-health and yburn-watch support sending alerts via:
- stdout (default)
- Telegram (
YBURN_TELEGRAM_TOKEN+YBURN_TELEGRAM_CHAT_ID) - Discord (
YBURN_DISCORD_WEBHOOK) - Slack (
YBURN_SLACK_WEBHOOK)
Set via environment variables or ~/.yburn/health.yaml / ~/.yburn/watch.yaml.
Exit Codes
All tools use consistent exit codes for scripting and CI:
| Code | Meaning |
|---|---|
| 0 | Healthy / all up |
| 1 | Warnings present |
| 2 | Critical issues |
yburn-health || echo "Something needs attention"
Template Library
Five built-in templates for the most common mechanical cron patterns:
| Template | Replaces |
|---|---|
system-diagnostics |
Disk, CPU, memory, uptime, process checks |
cron-health-report |
Cron status audits, failure counts |
git-backup-status |
Git add/commit/push, repo state checks |
api-endpoint-check |
HTTP health checks, OAuth validation |
file-watcher |
File change detection, size monitoring |
Custom templates go in ~/.yburn/templates/. See yburn/templates/TEMPLATE_SPEC.md.
Supported Platforms
| Platform | Status |
|---|---|
| macOS | Full support |
| Linux | Full support |
| WSL | Full support (Linux mode) |
| Windows | Planned for v2 |
Agent frameworks:
| Framework | Status |
|---|---|
| OpenClaw | Native integration (openclaw cron list) |
| Claude Code | Health checks via --claude-code flag |
| Any JSON | yburn audit --file jobs.json |
Test Suite
$ pytest
252 passed in 1.68s
What's Next
- More templates (OAuth checker, DB maintenance, log scanner)
- Interactive audit flow with guided prompts
- Auto-detection of cron system (OpenClaw, crontab, systemd, Claude Code)
- Token savings tracking over time
- Community template contributions
Contributing
Contributions welcome, especially:
- New templates for common mechanical cron patterns
- Scanner adapters for other agent frameworks
- Classification signal improvements
git clone https://github.com/oscarsterling/yburn.git
cd yburn
pip install -e '.[dev]'
pytest
Please open an issue before submitting a large PR.
License
MIT. See LICENSE.
Built because 53% of our cron jobs were burning tokens on work that doesn't think.
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