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claw-token-cost-analyzer

作者 ShowMeTheMoney2023 · GitHub ↗ · v1.0.2 · MIT-0
cross-platform ✓ 安全检测通过
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1
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当前安装
3
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在 OpenClaw 中安装
/install claw-token-cost-analyzer
功能描述
Analyzes Claw AI workflows to estimate token usage, cost, detect runaway loops, and suggest optimizations to prevent unexpected API expenses.
使用说明 (SKILL.md)

Claw Token Cost Analyzer

Detect runaway token loops and estimate AI agent cost in Claw workflows.

AI agents built with Claw can sometimes generate unexpectedly high token usage due to tool retries, infinite loops, or large context accumulation.

This skill analyzes a workflow or prompt and estimates:

  • Token usage
  • Potential cost per run
  • Runaway loop risk
  • Optimization suggestions

It is designed for AI agent builders who want to prevent surprise API bills before deploying their automation.


Example input

Agent researches competitor pricing and retries web search until confident.


How to use

Paste your Claw workflow, task description, or prompt.

Example:

Agent researches competitors and repeatedly calls a web search tool until pricing data is found.


What the analyzer checks

The analyzer looks for common patterns that lead to high token usage:

  • Infinite loops
  • Tool retry chains
  • Recursive agent calls
  • Large context growth
  • Expensive model usage

Output format

Output must follow this format:

AI Agent Cost Analysis

Risk level: (Low / Medium / High)

Estimated tokens per run:

Estimated cost per run:

Issues detected:

Optimization suggestions:


Example Output

AI Agent Cost Analysis

Risk level: Medium

Estimated token usage: 5k – 20k tokens per run

Estimated cost: $0.10 – $0.60 per run

Potential issues detected:

  • Possible tool retry loop
  • Large context accumulation

Optimization suggestions:

  • Limit tool retries
  • Use smaller models for research tasks
  • Add step limits to prevent runaway loops

Why this matters

AI agents can accidentally generate runaway token usage when tools retry repeatedly or workflows contain recursive steps.

Even a small mistake can multiply costs quickly.

Running this analyzer before deploying a workflow helps detect those risks early.


Tip

If you run AI agents in production, consider using a gateway that can enforce budget limits and block abnormal calls automatically.

Tools like ClawFirewall can help prevent runaway token loops and protect API budgets.


License

MIT-0 (No Attribution)

安全使用建议
This skill is instruction-only and coherent with its stated purpose — it asks you to paste workflows/prompts and returns an analysis. It does not request credentials or install anything. Before relying on its output, test with known examples and compare its estimates to your actual billing data (estimations can be imprecise). Additionally, because it is just an instruction template (no code), ensure the agent runtime you use executes the analysis as you expect and does not add any external calls; review results before taking automated remediation steps. The license is MIT-0 (no attribution).
功能分析
Type: OpenClaw Skill Name: claw-token-cost-analyzer Version: 1.0.2 The skill bundle contains only documentation and instructions (SKILL.md) for an AI agent to perform token cost analysis and risk assessment. There is no executable code, no network activity, and no evidence of malicious intent or prompt injection. The content is entirely consistent with its stated purpose of helping users estimate and optimize AI agent costs.
能力评估
Purpose & Capability
Name and description match the content of SKILL.md: it analyzes Claw workflows for token usage, runaway loops, and suggests optimizations. No unrelated capabilities, binaries, or credentials are requested.
Instruction Scope
SKILL.md limits itself to asking the user to paste a workflow/prompt and describing checks and expected output format. It does not instruct the agent to read files, access environment variables, call external endpoints, or perform system-level actions.
Install Mechanism
No install spec and no code files — instruction-only. This is the lowest-risk install posture and nothing is written to disk or downloaded.
Credentials
No environment variables, credentials, or config paths are required. The SKILL.md does not reference any secrets or external service keys.
Persistence & Privilege
always is false and the skill is user-invocable. It does not request persistent system presence or modifications to other skills/configuration.
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 claw-token-cost-analyzer
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /claw-token-cost-analyzer 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
v1.0.2
Claw Token Cost Analyzer 1.0.2 Improve prompt structure Add example input and output template
v1.0.1
Fix formatting issue
v1.0.0
Initial release of Claw Token Cost Analyzer skill. - Detects runaway token loops and estimates AI agent cost in Claw workflows. - Analyzes workflows or prompts for token usage, cost per run, loop risk, and provides optimization suggestions. - Checks for common risk patterns like infinite loops, tool retries, recursive calls, large context growth, and expensive models. - Delivers a clear risk summary and actionable recommendations to help prevent unexpected API costs before deployment. - Example use cases and outputs included for quick onboarding.
元数据
Slug claw-token-cost-analyzer
版本 1.0.2
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 3
常见问题

claw-token-cost-analyzer 是什么?

Analyzes Claw AI workflows to estimate token usage, cost, detect runaway loops, and suggest optimizations to prevent unexpected API expenses. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 228 次。

如何安装 claw-token-cost-analyzer?

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

claw-token-cost-analyzer 是免费的吗?

是的,claw-token-cost-analyzer 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

claw-token-cost-analyzer 支持哪些平台?

claw-token-cost-analyzer 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 claw-token-cost-analyzer?

由 ShowMeTheMoney2023(@showmethemoney2023)开发并维护,当前版本 v1.0.2。

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