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Token Budget Advisor
作者
Deonte Cooper
· GitHub ↗
· v1.0.1
· MIT-0
122
总下载
0
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install token-budget-advisor
功能描述
Offer users informed choice about response depth before answering. Control token usage, response length, and answer depth. Trigger phrases: token budget, tok...
安全使用建议
This skill looks coherent and low-risk: it will ask users to pick a response depth and remember that choice during the session, estimate token usage heuristically, and then answer accordingly. It does not request credentials or install code. Things to consider before enabling: test how often it triggers (its trigger rules are somewhat subjective), confirm how your agent persists session preferences (if persistent storage is a concern), and be aware token estimates are approximate since it uses a heuristic rather than a tokenizer.
功能分析
Type: OpenClaw Skill
Name: token-budget-advisor
Version: 1.0.1
The 'token-budget-advisor' skill is a purely instructional markdown-based tool designed to help an AI agent manage response length and token usage. It contains no executable code, requires no environment variables or binaries, and lacks any indicators of malicious behavior such as data exfiltration or unauthorized command execution. The logic in SKILL.md is entirely focused on providing a user interface for selecting response depth.
能力评估
Purpose & Capability
The name and description (controlling token usage/response depth) match the SKILL.md instructions. It doesn't request unrelated binaries, environment variables, or config paths.
Instruction Scope
The instructions are focused on prompting the user for a depth option, estimating token usage heuristically, and then producing answers at that level. They require access to session context (to know if depth was already set) and give the agent some discretion about when to trigger, which is expected but somewhat subjective. No file I/O, external network endpoints, or secret exfiltration are requested.
Install Mechanism
There is no install spec and no code files — the skill is instruction-only, so nothing is written to disk and no external packages are pulled.
Credentials
The skill declares no required environment variables or credentials. The runtime instructions do not reference any secrets or config beyond session state, so requested access is proportionate to the stated function.
Persistence & Privilege
The skill asks the agent to 'maintain user's chosen level for rest of session.' This implies session-state persistence but does not request permanent or cross-skill configuration or always-on privileges. Users should verify how the host agent stores session preferences (in-memory vs persistent storage) if that matters to them.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install token-budget-advisor - 安装完成后，直接呼叫该 Skill 的名称或使用
/token-budget-advisor触发 - 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
v1.0.1
Fix: replace bare code blocks with ```text for consistent rendering
v1.0.0
Initial release. Let users control response depth and token usage with 4 depth levels. Adapted from everything-claude-code by @affaan-m (MIT)
元数据
常见问题
Token Budget Advisor 是什么？
Offer users informed choice about response depth before answering. Control token usage, response length, and answer depth. Trigger phrases: token budget, tok... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 122 次。
如何安装 Token Budget Advisor？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install token-budget-advisor」即可一键安装，无需额外配置。
Token Budget Advisor 是免费的吗？
是的，Token Budget Advisor 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Token Budget Advisor 支持哪些平台？
Token Budget Advisor 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（linux, darwin, win32）。
谁开发了 Token Budget Advisor？
由 Deonte Cooper（@djc00p）开发并维护，当前版本 v1.0.1。
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