# Token Sisyphus

> Burn LLM tokens toward a target count to satisfy corporate AI usage KPIs. Trigger when user says: burn tokens, consume tokens, fill KPI, push the boulder, sisyphus mode, or specifies a token target like "burn 100k tokens". Supports OpenAI, Claude, Gemini, and any OpenAI-compatible API.

- Skill: `lord1egypt/token-sisyphus` (Agent Skill)
- Install (CLI): `npx skillmds@latest add lord1egypt/token-sisyphus`
- Raw SKILL.md: https://api.skillmd.com/api/skills/lord1egypt/token-sisyphus/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: Lord1Egypt (https://skillmd.com/u/lord1egypt)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/lord1egypt/token-sisyphus

---


# token-sisyphus

Push the boulder. Watch it roll back. At least your KPI is green.

The burn script is bundled at `scripts/burn.py` — no external download required.

## Setup

Install the SDK for your chosen provider:

```bash
pip install openai              # for openai provider (default)
pip install anthropic           # for claude provider
pip install google-generativeai # for gemini provider
```

Set the corresponding env var:

| Provider | Env var |
|----------|---------|
| OpenAI / compatible | `OPENAI_API_KEY` |
| Claude | `ANTHROPIC_API_KEY` |
| Gemini | `GEMINI_API_KEY` |

## Usage

Run the bundled script directly:

```
python {skillDir}/scripts/burn.py --target <amount> [options]

  --target       Token count: 50000, 100k, 1m  (required)
  --provider     openai | claude | gemini  (default: openai)
  --model        Model name (omit to use provider default)
  --api-key      API key (falls back to env var)
  --base-url     Custom endpoint 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
```

## Common invocations

```bash
# OpenAI (default, gpt-4o-mini)
python {skillDir}/scripts/burn.py --target 100k

# Claude Haiku
python {skillDir}/scripts/burn.py --target 100k --provider claude --model claude-3-haiku-20240307

# Gemini Flash
python {skillDir}/scripts/burn.py --target 100k --provider gemini --model gemini-1.5-flash

# DeepSeek
python {skillDir}/scripts/burn.py --target 100k --base-url https://api.deepseek.com/v1 --model deepseek-chat

# Qwen / Tongyi
python {skillDir}/scripts/burn.py --target 100k --base-url https://dashscope.aliyuncs.com/compatible-mode/v1 --model qwen-turbo

# Kimi / Moonshot
python {skillDir}/scripts/burn.py --target 100k --base-url https://api.moonshot.cn/v1 --model moonshot-v1-8k

# Dry run (no real API calls, no cost)
python {skillDir}/scripts/burn.py --target 100k --dry-run
```

## Provider defaults

| Provider | Default model |
|----------|---------------|
| openai | gpt-4o-mini |
| claude | claude-3-haiku-20240307 |
| gemini | gemini-1.5-flash |

## Cost note

Each request uses up to `--max-tokens` (default 500) tokens. Running `--target 100k` will make ~200 requests. Use `--dry-run` first to verify behavior without incurring API costs. Prefer scoped/limited API keys when testing.