Skill: sammy-the-bot/tokenguard-pro (version 1.0.0)

--- 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 ```bash npx clawhub install tokenguard-pro ``` ## Quick Start ```bash # 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


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)