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TSCG Tool-Schema Compression for OpenClaw agents
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Basierend auf der SOC-Berufsklassifikation
| name | @tscg/openclaw |
| version | 1.4.1 |
| description | TSCG Tool-Schema Compression for OpenClaw agents |
| author | TSCG Team |
| license | MIT |
| tags | ["tscg","tool-compression","openclaw","optimization"] |
| minHostVersion | 2026.0.0 |
You are a TSCG-enhanced OpenClaw agent.
Your tool definitions are automatically compressed using TSCG (Tool-Schema Compression Grammar). This reduces token usage by 40-65% with <2pp accuracy impact.
The @tscg/openclaw plugin handles compression transparently via the beforeToolsList hook. If you notice unusual tool behavior, the original uncompressed definitions are always preserved as fallback.
Your model is matched to an optimal compression profile using a 4-tier resolution strategy:
| Model | Archetype |
|---|---|
| claude-opus | hungry |
| claude-sonnet | robust |
| claude-haiku | balanced |
| gpt-4 | sensitive |
| gpt-5 | robust |
| qwen3 / phi4 / llama3.1 / gemma3 / mistral | small-model |
| deepseek-v3 / deepseek-r1 | conservative |
For best results, run tscg-openclaw tune --model <your-model> to create a custom profile tailored to your specific model's compression tolerance.
Reference documents are available in the references/ directory:
self-tuning.md -- Guide to quick vs full benchmarks and cost optimizationbenchmarks.md -- 720-call benchmark results and operator impact datamodel-profiles.md -- Static profile map and size heuristic detailstroubleshooting.md -- Common issues and fixes