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MMX Cost Optimizer

作者 e2e5g · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
95
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install mmx-cost-optimizer
功能描述
智能AI成本优化系统,集成Token预算管理、边际收益检测、多维度成本统计。当用户要求优化AI调用成本、控制Token使用、监控预算消耗、生成成本报告、降低API费用时使用。
安全使用建议
This skill appears coherent for cost and token management and does not ask for secrets or installs. Before installing: (1) confirm the platform APIs referenced (registerHook, saveCurrentProjectConfig, getStoredSessionCosts, logCostEvent) are limited to storing cost/session data and do not expose or modify unrelated configs; (2) prefer installing from a known source (source/homepage are missing here); (3) test in a sandbox project to see exactly what data is persisted and retained; and (4) if you need stronger assurance, ask the author or publisher for a provenance link or repo before trusting it with production data.
功能分析
Type: OpenClaw Skill Name: mmx-cost-optimizer Version: 1.0.0 The skill bundle 'mmx-cost-optimizer' is a utility designed to monitor and optimize AI API costs and token usage. The SKILL.md file contains logic for budget management, cost calculation, and optimization suggestions (e.g., cache reuse, context compression) without any evidence of malicious intent, data exfiltration, or unauthorized command execution. All functions and instructions are strictly aligned with the stated purpose of cost management.
能力评估
Purpose & Capability
Name/description (AI cost/token optimization) match the content of SKILL.md: budgeting rules, cost formulas, hooks, and suggestion generation. There are no unrelated requirements (no cloud creds, no unrelated binaries).
Instruction Scope
SKILL.md contains only local logic and pseudocode for tracking tokens, computing costs, generating suggestions, and registering hooks. It references platform helper functions (registerHook, saveCurrentProjectConfig, getStoredSessionCosts, logCostEvent) but does not instruct reading arbitrary files, environment variables, or sending data to external endpoints. Note: the instructions assume the platform provides storage/hooks—verify what those platform functions store and where.
Install Mechanism
Instruction-only skill with no install spec and no code files to execute. Lowest-risk installation surface: nothing is downloaded or written by an installer.
Credentials
No environment variables, credentials, or config paths are declared or required. The functions referenced imply saving/restoring session state, which is expected for a budgeting tool and does not demand extra secrets.
Persistence & Privilege
always:false and user-invocable (normal). The skill expects to register hooks and persist session cost data via platform APIs; this is appropriate for its purpose but means it will write/read cost state in whatever storage the platform exposes — verify that storage is limited to the skill's own data and not global secrets.
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 mmx-cost-optimizer
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /mmx-cost-optimizer 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 of Cost Optimizer Pro: 智能AI成本优化系统. - Features token budget management, marginal benefit detection, and real-time cost tracking. - Provides multi-dimensional cost statistics (input/output/cache/search). - Generates optimization suggestions based on usage patterns. - Supports configurable budget and warning thresholds. - Includes integration hooks for cost-saving strategies and session cost state recovery.
元数据
Slug mmx-cost-optimizer
版本 1.0.0
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

MMX Cost Optimizer 是什么?

智能AI成本优化系统,集成Token预算管理、边际收益检测、多维度成本统计。当用户要求优化AI调用成本、控制Token使用、监控预算消耗、生成成本报告、降低API费用时使用。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 95 次。

如何安装 MMX Cost Optimizer?

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

MMX Cost Optimizer 是免费的吗?

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

MMX Cost Optimizer 支持哪些平台?

MMX Cost Optimizer 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 MMX Cost Optimizer?

由 e2e5g(@e2e5g)开发并维护,当前版本 v1.0.0。

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