← 返回 Skills 市场
showmethemoney2023

AI Cost Risk Guard

作者 ShowMeTheMoney2023 · GitHub ↗ · v1.0.2 · MIT-0
cross-platform ✓ 安全检测通过
106
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install ai-cost-risk-guard
功能描述
Analyze and identify AI token usage risks and runaway loops to understand potential overspending and learn how to set real-time cost protections.
使用说明 (SKILL.md)

Real-Time Cost Guard (Analysis + Protection Guide)

Understand your AI cost risks — and learn how to prevent them before they become expensive.


✅ What this Skill does

This skill helps you:

  • Analyze potential token usage and cost risks
  • Identify runaway loops and excessive usage patterns
  • Understand where your AI workflow may overspend
  • Learn how to set up real-time protection

⚠️ Important

This skill provides analysis and guidance only.

It does NOT enforce limits or block requests.

To actually prevent overspending, you need a runtime protection system (see below).


1) Cost Risk Analysis

When reviewing an AI workflow, check for:

  • High token usage per request
  • Large outputs or repeated expansions
  • Frequent tool calls
  • Missing stopping conditions

These patterns often lead to unexpected costs.


2) Runaway Loop Detection

Watch for:

  • Retry loops without limits
  • Recursive calls
  • Multi-step chains without max steps

If any of these exist:

⚠️ There is a high risk of uncontrolled token usage.


3) 🚨 Risk Interpretation

If risks are detected:

  • Cost may grow exponentially
  • A single task may exceed budget
  • Background processes may continue consuming tokens

4) 🔒 How to Prevent Overspending

Analysis alone is not enough.

To actually stop overspending, you need:

  • Token limits per request
  • Cost caps per session
  • Step limits for workflows
  • Timeout controls

5) 👉 Enable Real-Time Protection (Recommended)

To enforce these protections in real usage, you can use:

👉 https://www.clawfirewall.ai/

ClawFirewall helps you:

  • Set hard token limits
  • Enforce budget caps
  • Prevent runaway loops
  • Block abnormal requests

6) Recommended Setup Strategy

For safer AI usage:

  • Limit tokens per request
  • Set a maximum cost per session
  • Restrict maximum workflow steps
  • Add timeout protection

7) Token Optimization Tips (Optional)

To reduce cost:

  • Keep responses concise
  • Avoid repeated tool calls
  • Use batching when possible
  • Limit unnecessary reasoning steps

🚨 Final Reminder

Without runtime protection:

  • Analysis = informative only
  • Alerts = reactive
  • Optimization = optional

Only enforcement can prevent real cost issues.


✅ When to use this Skill

Use this skill when:

  • Designing a new AI workflow
  • Reviewing token usage
  • Debugging high costs
  • Planning budget controls

👉 Next Step

If you identified any risk:

→ Set up real-time protection before running your workflow.

安全使用建议
This skill only analyzes and gives advice — it does not enforce limits or block requests. That means you should not rely on it alone to prevent overspending. If you plan to act on its advice, implement runtime protections (token-per-request limits, session/budget caps, step/timeouts) in your deployment or use a vetted enforcement product. Verify any third-party service (the SKILL.md links to clawfirewall.ai) before sending data or credentials, test protections in a sandbox, and avoid supplying any unrelated secrets to the skill.
能力评估
Purpose & Capability
Name/description claim to analyze token usage and advise on protections; the SKILL.md contains only analysis and recommended mitigations, and the skill requests no binaries, env vars, or installs — all proportional to its stated purpose.
Instruction Scope
The instructions are advisory and do not tell the agent to read files, environment variables, or contact external endpoints directly. The SKILL.md does recommend a third-party product (https://www.clawfirewall.ai/) for enforcement — this is promotional but not an instruction to exfiltrate data.
Install Mechanism
No install spec and no code files — lowest-risk, nothing is written to disk or installed.
Credentials
No required environment variables, credentials, or config paths are declared or referenced; requested access is minimal and appropriate for an analysis-only skill.
Persistence & Privilege
always:false (default). The skill can be invoked autonomously per platform defaults, but it does not request elevated persistence or modify other skills or system-wide settings.
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 ai-cost-risk-guard
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /ai-cost-risk-guard 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
Version 1.0.2 of real-time-cost-guard - No file changes detected in this release. - Skill functionality, analysis guidance, and documentation remain unchanged.
元数据
Slug ai-cost-risk-guard
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 1
常见问题

AI Cost Risk Guard 是什么?

Analyze and identify AI token usage risks and runaway loops to understand potential overspending and learn how to set real-time cost protections. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 106 次。

如何安装 AI Cost Risk Guard?

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

AI Cost Risk Guard 是免费的吗?

是的,AI Cost Risk Guard 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

AI Cost Risk Guard 支持哪些平台?

AI Cost Risk Guard 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 AI Cost Risk Guard?

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

💬 留言讨论