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版本数
在 OpenClaw 中安装
/install quit-overspending
功能描述
Break impulse buying habits with spending streaks, urge tracking, and savings milestones
安全使用建议
This skill appears coherent and low-risk from a permission perspective, but its privacy promise is not enforced by the SKILL.md itself. Before using: 1) Verify how your agent platform stores conversation/skill data (local disk vs cloud backups, retention, and whether data is included in shared memory or model telemetry). 2) Avoid entering highly sensitive information (full card numbers, bank credentials, account passwords) into the skill until you confirm storage and deletion behavior. 3) If you require guaranteed local-only storage, test by creating a throwaway log entry and locating it on disk or consult platform docs/support. 4) If you want stronger guarantees, prefer an offline client or encrypt exported logs yourself.
功能分析
Type: OpenClaw Skill
Name: quit-overspending
Version: 1.0.0
The provided files consist of metadata (`_meta.json`) and a skill description (`SKILL.md`). The `SKILL.md` outlines the purpose, usage, milestones, and tips for a 'quit-overspending' skill. There is no executable code, and the markdown content does not contain any prompt injection attempts against the AI agent, nor does it instruct the agent to perform any high-risk actions such as data exfiltration, unauthorized file access, or network communication. The content is entirely aligned with the stated purpose of helping users manage spending habits.
能力评估
Purpose & Capability
Name and description match the actual requirements and behavior: an instruction-only no-spend/urge-tracking helper that needs no binaries, env vars, or external services.
Instruction Scope
SKILL.md describes logging urges, tracking streaks, goals, and savings but does not specify any file paths, storage format, or retention policy. It explicitly promises data stays local, but provides no mechanism or instructions for local storage or deletion — this is a privacy claim the runtime/platform must enforce, not something the skill demonstrates.
Install Mechanism
No install spec and no code files — lowest risk for disk writes or remote code execution.
Credentials
No environment variables, credentials, or config paths requested. The scope of requested access is minimal and proportional to the described functionality.
Persistence & Privilege
always is false and the skill is user-invocable. Model invocation is allowed (platform default) but there is no unusual persistent privilege or cross-skill config changes requested.
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 quit-overspending - 安装完成后，直接呼叫该 Skill 的名称或使用
/quit-overspending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
v1.0.0
Initial release—helps users break overspending habits with actionable tools and milestones.
- Track no-spend streaks and celebrate progress milestones.
- Log and analyze impulses to buy, including triggers and urge strength.
- Automatically tally savings from resisted purchases.
- Set and monitor personalized savings goals.
- All data remains private and local to the user’s device.
元数据
常见问题
Quit Overspending 是什么？
Break impulse buying habits with spending streaks, urge tracking, and savings milestones. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 1795 次。
如何安装 Quit Overspending？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install quit-overspending」即可一键安装，无需额外配置。
Quit Overspending 是免费的吗？
是的，Quit Overspending 完全免费（开源免费），可自由下载、安装和使用。
Quit Overspending 支持哪些平台？
Quit Overspending 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 Quit Overspending？
由 jhillin8（@jhillin8）开发并维护，当前版本 v1.0.0。
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