Why does this exist?
Many companies now track employee AI usage as a productivity KPI.
"Top token users" get recognition. "Low token users" get questioned.
This tool burns LLM tokens on your behalf — so you can top the company AI usage chart without actually doing anything.
You're welcome.
Features
- 🎯 Burn toward a target token count (e.g.
100k, 1m)
- 🔌 Supports OpenAI, Claude, Gemini, and any OpenAI-compatible API
- 📊 Real-time progress bar with request counter
- ⚙️ Configurable model, delay, max tokens per request
- 🧪 Dry-run mode for testing without real API calls
- 🧩 Skill files for Claude Code, Codex, Gemini CLI, OpenCode, OpenClaw
Quick Start
# OpenAI
pip install openai
export OPENAI_API_KEY=sk-...
python burn.py --target 100k
# Claude
pip install anthropic
export ANTHROPIC_API_KEY=sk-ant-...
python burn.py --target 100k --provider claude
# Gemini
pip install google-generativeai
export GEMINI_API_KEY=...
python burn.py --target 100k --provider gemini
Usage
python burn.py --target <amount> [options]
--target Token count to burn: 50000, 100k, 1m (required)
--provider openai | claude | gemini (default: openai)
--model Model name (provider default used if omitted)
--api-key API key (falls back to env var)
--base-url Custom base URL (openai provider only)
--max-tokens Max tokens per request (default: 500)
--delay Seconds between requests (default: 0.5)
--dry-run Simulate without real API calls
Examples
# OpenAI GPT-5.4 (latest)
python burn.py --target 100k --model gpt-5.4
# Claude Sonnet 4.6 (latest)
python burn.py --target 100k --provider claude --model claude-sonnet-4-6
# Gemini 3.1 Pro (latest)
python burn.py --target 100k --provider gemini --model gemini-3.1-pro
# DeepSeek V4 (OpenAI-compatible)
python burn.py --target 500k --base-url https://api.deepseek.com/v1 --model deepseek-v4
# Xiaomi MiMo V2 Pro
python burn.py --target 100k --base-url https://api.xiaomimimo.com/v1 --model mimo-v2-pro
# Dry run (no cost)
python burn.py --target 100k --dry-run
Agent Skills
Use token-sisyphus directly inside your AI coding assistant:
| Platform | File | Install |
|---|
| Claude Code | Plugin | /marketplace add neardws/token-sisyphus then /plugin install token-sisyphus |
| Claude Code (manual) | skills/claude-code/CLAUDE.md | Copy to project root |
| OpenAI Codex | skills/codex/AGENTS.md | Copy to project root |
| Gemini CLI | skills/gemini-cli/gemini.md | Copy to project root |
| OpenCode | skills/opencode/rules.md | Copy to project root |
| OpenClaw | skills/openclaw/SKILL.md | clawhub install token-sisyphus |
Claude Code users can install as a plugin (recommended):
/marketplace add neardws/token-sisyphus
/plugin install token-sisyphus
Or copy skills/claude-code/CLAUDE.md to your project root for manual setup.
OpenClaw users can install directly from ClawHub:
clawhub install token-sisyphus
Compatible APIs
Any OpenAI-compatible endpoint works out of the box:
