---

name: tokenguard-pro description: "Token cost optimizer for OpenClaw agents. Scan usage patterns, identify waste (excessive context, repeated queries, inefficient tool use), and get actionable recommendations to cut AI costs by 50-95%. Use when: monthly API spend exceeds $100, reviewing agent efficiency, or optimizing high-volume workflows. NOT a replacement for budget controls." metadata: { "openclaw": { "emoji": "🛡️", "price": 49, "requires": { "bins": ["bash", "jq"] }, "author": "App Incubator", "category": "productivity", }, }

TokenGuard Pro 🛡️

Cut your AI token costs by 50-95% without sacrificing output quality.

TokenGuard Pro analyzes your OpenClaw usage patterns to identify waste, suggest optimizations, and project your savings. Built for users spending $100–$3,600/month on AI APIs.

What It Does

• Scans your session logs for token consumption patterns
• Identifies waste: oversized contexts, repeated queries, model mismatches, inefficient tool chains
• Recommends specific optimizations with estimated savings
• Generates a detailed cost-reduction report

Installation

npx clawhub install tokenguard-pro

Quick Start

# Run full analysis on recent usage
tokenguard-analyze

# Analyze last 7 days
tokenguard-analyze --days 7

# Focus on specific waste type
tokenguard-analyze --focus caching

# Export report as JSON
tokenguard-analyze --format json --output report.json

When to Use

✅ Use this skill when:

• Monthly API costs exceed $100
• You suspect context bloat in long conversations
• Same queries repeat across sessions
• You're using expensive models for simple tasks
• Agents chain too many tool calls unnecessarily

❌ Don't use this skill when:

• Costs are already minimal (<$50/month) — overhead not worth it
• You need real-time budget enforcement — use API provider controls
• Looking for fine-grained per-request pricing — check provider dashboards

Common Optimizations Found

Waste Type	Typical Savings	Fix Complexity
Oversized context	40-60%	Easy
Wrong model choice	20-40%	Easy
Repeated queries	15-30%	Medium
Inefficient tool chains	10-25%	Medium
Missing response caching	25-50%	Medium

Example Report Output

╔══════════════════════════════════════════════════════════╗
║              TOKENGARD PRO ANALYSIS REPORT               ║
╠══════════════════════════════════════════════════════════╣
║  Period Analyzed: 14 days                                ║
║  Estimated Monthly Spend: $1,240                         ║
╠══════════════════════════════════════════════════════════╣
║  TOP ISSUES FOUND:                                       ║
║  1. GPT-4 used for 78% of simple classification tasks    ║
║     → Switch to GPT-3.5: SAVE ~$420/mo                   ║
║  2. Average context size 8.2K tokens (recommend: 2K)     ║
║     → Prune old messages: SAVE ~$310/mo                  ║
║  3. 23 repeated API calls without caching                ║
║     → Add response caching: SAVE ~$180/mo                ║
╠══════════════════════════════════════════════════════════╣
║  PROJECTED SAVINGS: $910/month (73% reduction)           ║
╚══════════════════════════════════════════════════════════╝

Limitations

• Analyzes historical patterns, not real-time spend
• Estimates based on standard pricing; actual rates may vary
• Cannot modify your code — provides recommendations only
• Requires access to OpenClaw logs for analysis

Pricing

$49 one-time purchase — pays for itself if it saves you just one month of excess spend.

Support

Questions? File an issue at github.com/appincubator/tokenguard-pro