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Less Token

by 静水流深 · GitHub ↗ · v1.0.4 · MIT-0
cross-platform ✓ Security Clean
356
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0
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2
Active Installs
5
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Install in OpenClaw
/install 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...
README (SKILL.md)

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

License

MIT — Free to use, share, and build on.

© 2026 I-Lang Research, Eastsoft Inc., Canada.

Usage Guidance
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 models, not to this skill itself. If you want extra assurance, ask the publisher for provenance (e.g., a reproducible repository release) or verify the linked GitHub/website before broad use.
Capability Analysis
Type: OpenClaw Skill Name: less-token Version: 1.0.4 The skill is a text-to-text translator designed to compress natural language prompts into a shorthand syntax ('I-Lang') to reduce token usage. It contains no executable code, no external dependencies, and no instructions for data exfiltration or unauthorized system access. All files (SKILL.md, prompt.md) consistently describe and implement this specific, low-risk functionality.
Capability Assessment
✓ Purpose & Capability
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.
✓ Instruction Scope
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.
✓ Install Mechanism
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.
✓ Credentials
The skill requires no environment variables, no credentials, and no configuration paths — appropriate for a text-to-text translator that operates on prompts only.
✓ Persistence & Privilege
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install less-token
  3. After installation, invoke the skill by name or use /less-token
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.4
- Version bump to 1.0.4 - Updated SKILL.md version number to 1.0.4 - No other user-facing or functional changes
v1.0.3
- Version updated to 1.0.3 in SKILL.md. - No functional or documentation changes other than the version number. - All usage instructions, features, and examples remain unchanged.
v1.0.2
Auto-published from GitHub commit 60e1ef417cf24b605e6120904342be21f10e43f1
v1.0.1
Auto-published from GitHub commit fbcc5b95fe0c7738ac8bd39d7732b53049f870e0
v1.0.0
Auto-published from GitHub commit de834405df4505ac3d800e7e821b5d0ff3285c7b
Metadata
Slug less-token
Version 1.0.4
License MIT-0
All-time Installs 2
Active Installs 2
Total Versions 5
Frequently Asked Questions

What is Less Token?

Save 40-65% tokens on summarization tasks. Compress verbose summary prompts into structured one-line instructions. Text-to-text translator only — no CLI, no... It is an AI Agent Skill for Claude Code / OpenClaw, with 356 downloads so far.

How do I install Less Token?

Run "/install less-token" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Less Token free?

Yes, Less Token is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Less Token support?

Less Token is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Less Token?

It is built and maintained by 静水流深 (@adsorgcn); the current version is v1.0.4.

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