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tooled-app

Low Token Usage

by Tooled-app · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
317
Downloads
0
Stars
2
Active Installs
1
Versions
Install in OpenClaw
/install low-token
Description
Optimizes for minimal token usage. Removes fluff, eliminates step-by-step narration, and delivers results-only communication.
README (SKILL.md)

Low Token Usage Skill

Use this skill when:

  • Token usage is a concern
  • You want maximum information density
  • Process details aren't needed, just outcomes

Rules

1. No Process Narration

  • ❌ "First I'm going to check the file..."
  • ❌ "Let me look at the code..."
  • ❌ "I need to update..."
  • ✅ Direct edits, then summarize what changed

2. No Step-by-Step

  • ❌ "Step 1: Open file. Step 2: Find function..."
  • ❌ "I'll do this in three parts..."
  • ✅ Complete the task, then present final result

3. No Filler

  • ❌ "Great idea!", "Let me see...", "Hmm..."
  • ❌ Excessive politeness or hedging
  • ✅ Neutral, direct statements

4. Results Only

  • ❌ "I think we should..." or "Maybe try..."
  • ❌ Speculating about approaches
  • ✅ "Done." or "Failed: [error]"

5. Batching

  • Group related changes into single operations
  • Avoid one-tool-call-per-item loops
  • Prefer bulk operations

Examples

High Token (Bad):

"Let me take a look at the file first. I'll open it and see what's there. Okay, so I can see the function on line 45. Now I'm going to make an edit to fix the bug. I'll replace the old code with the new code. Let me do that now..."

Low Token (Good):

Fixed. Changed foo() to bar() on line 45.

Activation

This skill is automatically active when:

  • User mentions "low token" or "save tokens"
  • Token usage exceeds 75% of context window
  • User explicitly requests minimal output

Metrics

Target: \x3C50 tokens for simple confirmations Target: \x3C200 tokens for complex results Avoid: >500 tokens for routine tasks

Usage Guidance
This skill simply tells the agent to be terse and avoid step-by-step narration; it does not request credentials or install code. Before enabling, decide whether you are comfortable losing intermediate reasoning and verbose explanations (useful for debugging, audits, or pedagogy). Also confirm how your platform decides auto-activation (keyword triggers or token thresholds) and whether you can disable the skill if you want full explanations later.
Capability Analysis
Type: OpenClaw Skill Name: low-token Version: 1.0.0 The 'low-token' skill bundle is a set of stylistic instructions designed to optimize AI agent communication for efficiency and minimal token usage. It contains no executable code and focuses entirely on reducing verbosity, removing process narration, and batching operations, with no indicators of malicious intent or security risks in SKILL.md or _meta.json.
Capability Assessment
Purpose & Capability
Name, description, and runtime instructions align: the skill's rules and examples explicitly aim to reduce token use. No unrelated capabilities, env vars, or binaries are requested.
Instruction Scope
SKILL.md stays within its stated goal (remove narration, be concise). One implementation detail is ambiguous: the 'Activation' section claims auto-activation on token >75% or keywords — that depends on the host agent/platform, not the skill itself. Also, the rule to 'complete the task, then present final result' intentionally omits intermediate reasoning, which is coherent with the stated purpose but may reduce auditability or make debugging harder.
Install Mechanism
Instruction-only skill with no install spec and no code files — minimal footprint and no archive or external downloads.
Credentials
No environment variables, credentials, or config paths are requested; nothing disproportionate to the stated purpose.
Persistence & Privilege
always:false (no forced global presence). The skill allows autonomous invocation (disable-model-invocation:false), which is platform-default — not a flaw by itself but worth noting because the agent could choose to apply the concise style automatically when eligible.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install low-token
  3. After installation, invoke the skill by name or use /low-token
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release focused on minimizing token usage in responses. - Removes process narration, step-by-step guides, and filler language. - Delivers direct, results-only communication. - Encourages batching related changes for efficiency. - Provides clear activation rules and output token targets.
Metadata
Slug low-token
Version 1.0.0
License MIT-0
All-time Installs 2
Active Installs 2
Total Versions 1
Frequently Asked Questions

What is Low Token Usage?

Optimizes for minimal token usage. Removes fluff, eliminates step-by-step narration, and delivers results-only communication. It is an AI Agent Skill for Claude Code / OpenClaw, with 317 downloads so far.

How do I install Low Token Usage?

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

Is Low Token Usage free?

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

Which platforms does Low Token Usage support?

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

Who created Low Token Usage?

It is built and maintained by Tooled-app (@tooled-app); the current version is v1.0.0.

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