技能详情（站内镜像，无评论）
作者：静水流深 @adsorgcn
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v1.0.4
统计：⭐ 0 · 139 · 0 current installs · 0 all-time installs
⭐ 0
安装量（当前） 0
🛡 VirusTotal ：良性 · OpenClaw ：良性
Package：adsorgcn/less-token
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：良性
OpenClaw 评估
This is an instruction-only, text-to-text prompt-compression skill whose declared behavior, requirements, and instructions are internally consistent with its stated purpose.
目的
Name and description (prompt compression for summarization) match the provided SKILL.md and prompt.md. The skill requests no credentials, binaries, or installs — all proportionate to a simple text transformation utility.
说明范围
Runtime instructions are narrowly scoped to translating verbose summarization prompts into a compact I‑Lang syntax and to output the compressed line plus a short explanation. The docs do not instruct reading files, accessing environment variables, executing commands, or calling external services.
安装机制
There is no install spec and no code files; the skill is instruction-only. This is the lowest-risk model and matches the 'no install / zero dependencies' claim.
证书
The skill requires no environment variables, no credentials, and no configuration paths — appropriate for a text-to-text translator that operates on prompts only.
持久
The skill does not request always:true and does not ask to modify other skills or system settings. Autonomous invocation is permitted by platform default but is not combined with other concerning privileges.
综合结论
This skill appears coherent and low-risk: it's an instruction-only prompt-compressor that doesn't access files, credentials, or the network. If you install it, test it on non-sensitive sample prompts first to verify compressed outputs match your expectations. Be cautious about pasting sensitive or private content into any third-party LLM (the skill's docs recommend pasting into other AI services) — that risk is inherent to using external model…
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Less Token」。简介：Save 40-65% tokens on summarization tasks. Compress verbose summary prompts int…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/adsorgcn/less-token/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
name: less-token
description: "Save 40-65% tokens on summarization tasks. Compress verbose summary prompts into structured one-line instructions. Text-to-text translator only — no CLI, no API key, no install, no external dependencies. Works on ChatGPT, Claude, Gemini, DeepSeek, Kimi. Instruction-only, zero dependencies."
version: 1.0.4
author: ilang-ai
homepage: https://ilang.ai
tags:
- summarize
- summary
- token-saving
- token-optimizer
- prompt-compression
- productivity
- cross-platform
- no-install
- ai-assistant
- workflow
---
# Less Token
Save 40-65% tokens on summarization tasks. Compress verbose natural language prompts into structured one-line instructions that any AI understands.
**This skill is a text-to-text translator only.** It does not access files, fetch URLs, execute commands, or call external services. It only converts your summarization prompts into compressed syntax.
## What You Get
1. **40-65% fewer tokens** — Compress long summarization prompts into one-line instructions.
2. **Same result** — AI produces identical output from the compressed instruction.
3. **Cross-platform** — Compressed instructions work on ChatGPT, Claude, Gemini, DeepSeek, Kimi, 豆包, 元宝.
4. **No install** — No CLI, no brew, no npm, no binary, no API key. Copy, paste, done.
## How to Use
1. Copy the full protocol text from this skill page
2. Paste it into any AI conversation
3. AI responds — ready to compress
### Quick Test
After pasting, try:
- "Compress this: Please summarize the key points from this document in 3 professional bullet points"
- AI returns: `[SUM|sty=bullets,cnt=3,ton=pro]=>[OUT]`
- 70% fewer tokens. Same result.
## Compression Templates
| What you want | Verbose prompt | Compressed |
|--------------|----------------|------------|
| Short summary | "Give me a brief summary of the main points" | `[SUM|len=short]=>[OUT]` |
| 3 bullet points | "Summarize in 3 concise bullet points" | `[SUM|sty=bullets,cnt=3]=>[OUT]` |
| Professional report | "Create a professional executive summary in Markdown" | `[SUM|ton=pro,sty=executive,fmt=md]=>[OUT]` |
| Key findings only | "Extract only the key findings and important data" | `[SUM|key=findings]=>[OUT]` |
| Summarize + translate | "Summarize then translate to Chinese" | `[SUM|len=short]=>[TRANSLATE|lang=zh]=>[OUT]` |
| Compare + summarize | "Compare these two and summarize the differences" | `[CMP]=>[DIFF]=>[SUM|sty=bullets]=>[OUT]` |
| Reformat summary | "Summarize as bullet points in Markdown" | `[SUM|sty=bullets]=>[FMT|fmt=md]=>[OUT]` |
## Before & After
**Before** (28 words):
> Please read through this document carefully, identify the most important points and key takeaways, then write a concise professional summary using bullet points.
**After** (7 words):
```
[SUM|key=important,sty=bullets,ton=pro]=>[OUT]
```
75% fewer tokens. Same result.
**Before** (22 words):
> Take the main findings from the text above and rewrite them as a short executive summary suitable for a business audience.
**After** (5 words):
```
[SUM|sty=executive,ton=pro]=>[OUT]
```
77% fewer tokens. Same result.
## Comparison
| Feature | CLI-based tools | Less Token |
|---------|----------------|------------|
| Install required | Yes (brew, npm, binary) | No |
| API key required | Yes | No |
| Works on | Single platform | Any AI platform |
| Token efficiency | Standard prompts | 40-65% fewer tokens |
| Setup time | 5-10 minutes | 30 seconds |
| External dependencies | Multiple | Zero |
## Tested Platforms
ChatGPT ✅ · Claude ✅ · Gemini ✅ · DeepSeek ✅ · Kimi ✅ · 豆包 ✅ · 元宝 ✅
## Links
- Protocol & tools: https://ilang.ai
- Full dictionary: https://github.com/ilang-ai/ilang-dict
- Research: https://research.ilang.ai
## License
MIT — Free to use, share, and build on.
© 2026 I-Lang Research, Eastsoft Inc., Canada.