Token usage logging, alerting, and context-compression utilities for OpenClaw. Use when you want to track per-call token usage, normalize timestamps, and reduce context sent to LLMs via summarization/compression.
Scanned 9/7/2026
Install to Claude Code
npx -y skills add modbender/skill-library-mcp --skill oken-usage-tracker --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: token-usage-tracker
description: Token usage logging, alerting, and context-compression utilities for OpenClaw. Use when you want to track per-call token usage, normalize timestamps, and reduce context sent to LLMs via summarization/compression.
---
# token-usage-tracker
Quick start
1. Configure defaults in `skill-config.json` (timezone, log_folder).
2. Install scripts (examples provided) into your workspace and wire the interceptor into your message pipeline.
3. Use `scripts/context_summarizer.py` before sending large contexts to reduce token usage.
What this skill provides
- Logging: `token_tracker.py` writes per-call token usage to a JSONL log. Includes timestamp normalization.
- Interceptor: `token_interceptor.py` example that normalizes timestamps and forwards sanitized messages to the tracker.
- Alerts: `token_alerts.py` example for threshold-based alerts (no external posting by default).
- Compression: `context_summarizer.py` produces short summaries to reduce token payloads.
- Utilities: migration and cleanup scripts (convert timestamps, dedupe log entries).
When to use
- Use this skill when you want transparent per-call token accounting, to keep token usage low, or to protect sensitive/verbose contexts by summarizing before sending to the model.
Files
- scripts/
- token_interceptor.py — example interceptor (normalizes timestamps)
- token_tracker.py — logging helper
- token_alerts.py — alert examples
- context_summarizer.py — compression helper
- migrate_timestamps.py — migration utility
- dedupe_log.py — dedupe utility
- references/
- examples/systemd/ — example unit files (install manually)
- skill-config.json — configurable defaults
- README.md — usage and install notes
Configuration
See `skill-config.json` for defaults. The skill exposes:
- timezone: default UTC
- log_folder: default ./skills/logs (relative to OpenClaw workspace)
- compression settings: summary_target_tokens, max_context_tokens
Security and installation
- The scripts are examples and safe by default. They do not change system state or install services automatically.
- Example systemd/unit files are provided in `references/systemd/` — apply them manually after review.
License: MIT (adapt as you prefer)
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