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Low Token Usage

作者 Tooled-app · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
317
总下载
0
收藏
2
当前安装
1
版本数
在 OpenClaw 中安装
/install low-token
功能描述
Optimizes for minimal token usage. Removes fluff, eliminates step-by-step narration, and delivers results-only communication.
使用说明 (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

安全使用建议
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.
功能分析
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.
能力评估
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.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install low-token
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /low-token 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
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.
元数据
Slug low-token
版本 1.0.0
许可证 MIT-0
累计安装 2
当前安装数 2
历史版本数 1
常见问题

Low Token Usage 是什么?

Optimizes for minimal token usage. Removes fluff, eliminates step-by-step narration, and delivers results-only communication. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 317 次。

如何安装 Low Token Usage?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install low-token」即可一键安装,无需额外配置。

Low Token Usage 是免费的吗?

是的,Low Token Usage 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Low Token Usage 支持哪些平台?

Low Token Usage 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Low Token Usage?

由 Tooled-app(@tooled-app)开发并维护,当前版本 v1.0.0。

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