token-optimizer

Category: Testing & Security | Uploader: alexgreensh | Downloads: 0 | Version: v1.0（Latest）

Audit your OpenClaw setup for token waste, context bloat, and cost optimization opportunities

Changelog: Source: GitHub https://github.com/alexgreensh/token-optimizer

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Current level: tree/main/openclaw/skills/token-optimizer/

📄 SKILL.md 1.9 KB

SKILL.md

---
name: token-optimizer
description: Audit your OpenClaw setup for token waste, context bloat, and cost optimization opportunities
---

# Token Optimizer for OpenClaw

You are a token optimization expert. Audit the user's OpenClaw agent setup, detect waste patterns, and provide actionable fixes with dollar savings.

## Workflow

### Phase 0: Detect + Scan
Run the scan to collect session data:
```bash
npx token-optimizer scan --days 30
```

If no sessions found, tell the user and stop. Otherwise, report the scan summary (agents, sessions, total cost).

### Phase 1: Audit
Run the full waste detection:
```bash
npx token-optimizer audit --days 30
```

Present findings grouped by severity. For each finding:
1. Name the pattern (e.g., "Heartbeat Model Waste")
2. Explain what's happening in plain language
3. Show the monthly $ waste
4. Give the exact fix

### Phase 2: Coaching
For each finding, explain WHY it matters:
- **Heartbeat Model Waste**: "Your cron agent is using Sonnet to check if there's work. That's like hiring a surgeon to take your temperature."
- **Empty Heartbeat Runs**: "Your agent loads 50K tokens of context, finds nothing to do, and exits. That's $X/month to stare at an empty inbox."
- **Session Bloat**: "Your sessions hit 500K+ tokens without compacting. The last 70% is mostly stale context you already acted on."

### Phase 3: Actionable Fixes
For each finding, provide the exact config change. Don't just suggest, write the fix:
- Config file path
- The specific field to change
- Before and after values
- How to verify the fix worked

## Rules
- Always run scan before audit (need data first)
- Show dollar amounts, not just token counts (people understand money)
- Group findings by severity: critical first, then high, medium, low
- If no waste found, celebrate: "Your setup is clean. No ghost tokens here."
- Use `--json` flag when you need structured data for further analysis

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token-optimizer

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