A sophisticated text compressor that converts modern Chinese or English into concise Classical Chinese to significantly reduce LLM token usage.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install wenyan-compress
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install wenyan-compress using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
wenyan-compress is a specialized tool designed for the Openclaw Skills ecosystem to tackle the challenge of high token consumption in large language models. By leveraging the inherent brevity of Classical Chinese (Wenyanwen), it transforms verbose modern prose and English text into compact, information-dense summaries. This process not only saves costs but also allows more information to fit within a model's context window.
The skill provides multiple compression styles—ranging from poetic to ultra-short—and includes a robust fidelity check mechanism. This ensures that while the text is shortened, the core meaning, critical numbers, and proper nouns remain intact, making it an essential utility for developers and power users managing long-form content.
To use this skill within the Openclaw Skills environment, ensure you have the latest version installed. You can trigger the compression by passing your text directly to the agent:
# Example of using the skill with a fidelity flag
openclaw run wenyan-compress "Your long text here... !fidelity"
The skill organizes its output and metadata as follows:
| Data Point | Description | Example |
|---|---|---|
| Output Text | The final Classical Chinese version of the input. | AI变世道,机器学于历... |
| Fidelity Report | Validation of retained key information and risk alerts. | ✅ Retained: Dates, Names |
| Compression Ratio | Comparison between original and compressed token counts. | 5.4 : 1 |
| Savings Percentage | Estimated percentage of tokens saved. | ~81% |
Available command flags:
!detailed: Higher retention (~95% detail).!extreme: Maximum compression (~70% retention).!poetic: Stylized literary output.!fidelity: High-priority mode for preserving technical terms and numbers.Loading
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