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在 OpenClaw 中安装
/install zan-gongde
功能描述
烧token攒功德Skill - 全自动消耗 OpenClaw 套餐 Token 核心原理：循环调用 OpenClaw LLM，每次生成一个经文念诵响应， **实时估算并累加 token 消耗，达到目标后立即停止**。 当用户说"攒功德"、"念经"、"烧token"、"消耗token"时调用此 skill。 四种...
安全使用建议
This skill will legitimately call your OpenClaw LLM many times to 'burn' tokens. Before installing or using it: 1) do not run ddos mode or high --workers values unless you fully accept potentially large charges and provider-rate-limit consequences; 2) avoid cloning or executing unknown scripts from the GitHub mentioned without review (the repo includes a large corpus of sutras); 3) test with very small token targets first to verify behavior; 4) be aware the skill can spawn subagents/concurrent sessions (can increase cost and resource usage and may violate provider policies); and 5) if you decide to use it, keep a manual kill method ready (stop command or ensure you can edit/monitor .merit_state.json) and consider refusing or disabling ddos/subagent features. If you want a safer option, request a version that only runs serially with strict per-call limits and explicit confirmation before each high-token operation.
能力评估
Purpose & Capability
Name/description (burn tokens by repeated LLM calls) align with the instructions: the SKILL.md explicitly loops LLM calls and estimates tokens. No unrelated credentials or binaries are requested, so capability and purpose are coherent.
Instruction Scope
SKILL.md tells the agent to repeatedly invoke the OpenClaw LLM, spawn multiple subagents (sessions_spawn) for true concurrency, read sutras from ~/.agents/skills/zan-gongde/sutras, and reference/modifiy a .merit_state.json stop flag. These instructions go beyond simple chat responses and grant broad runtime discretion (concurrent subagents, file reads/writes, system TTS). The explicit 'ddos' mode and advice to run high worker counts are particularly risky.
Install Mechanism
The skill is instruction-only (no install spec) which reduces automatic disk writes, but README suggests cloning from a GitHub repo (a manual install path). That clone would write the large sutras corpus (25MB+/many files) to disk; the registry package itself does not declare an install step.
Credentials
No environment variables or external API keys are requested (it reuses the agent's OpenClaw LLM config), which is consistent, but that means the skill will bill against the user's OpenClaw account and consume real quota. The skill also expects access to skill-local files and to agent state (.merit_state.json) without declaring those paths explicitly in metadata.
Persistence & Privilege
always:false and standard autonomous invocation are fine, but the skill's instructions explicitly recommend spawning many subagents and running background/tollm modes. Combined with autonomous invocation, that raises the blast radius (large concurrent billing and possible provider rate-limit impacts). It also suggests modifying agent state files to stop execution.
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 zan-gongde - 安装完成后，直接呼叫该 Skill 的名称或使用
/zan-gongde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
v2.3.2
zan-gongde v2.3.2
- 完善与优化 SKILL.md 的参数解析、流程细节和注释示例，描述更清晰。
- 增强模式说明、流程分步和降速机制，便于理解和复用。
- 补充关键代码片段，提高实现可参考性。
- 无功能实现变更，仅为文档/说明增强。
v2.3.1
zan-gongde 2.3.1 Changelog
- Documentation significantly improved: SKILL.md now includes detailed execution instructions and direct code examples for parameter parsing, sutra loading, and chanting logic.
- Outdated implementation file scripts/merit_accumulator.py was removed.
- README.md and SKILL.md refined for clarity and up-to-date behavior explanations, ensuring documentation precisely matches current logic.
- Usage details, advanced configuration, and FAQs are now clearer and more accessible to all users.
v2.3.0
- 移除了 sutras 目录下的全部 7 本经书文本文件，精简了 Skill 结构。
- 保留功能文档于 README.md 与 SKILL.md，对原有说明无实质改动。
- 经文轮询与 token 累加等核心逻辑保持不变。
- Mode、参数说明、执行流程和 FAQ 等用法文档仍在，便于用户参考。
- 此版本专注于清除自带经书文件，需用户自行提供经文资源。
v2.2.0
新增DDoS攻击佛祖模式：多线程并发调用API，支持自动降速（检测429错误），实时显示成功率和速率
v2.1.0
修复：N现在是token数而非迭代次数，使用while total_tokens < target循环
v2.0.1
补全 README，添加安装说明、使用方法、常见问题
v2.0.0
全新架构：Agent循环调用LLM，全自动消耗token，无需API Key
v1.3.0
支持自定义API base URL，兼容Azure和国产大模型
v1.2.0
恢复直接API调用，确保真实消耗token（需配置API Key）
v1.1.1
添加 .gitignore，忽略日志文件和系统文件，复用 OpenClaw LLM 配置
v1.1.0
复用 OpenClaw LLM 配置，移除独立 API Key 配置需求
v1.0.0
Initial release: 通过真实调用大模型API、念诵佛经的方式消耗多余的AI Token
元数据
常见问题
Zan Gongde 是什么？
烧token攒功德Skill - 全自动消耗 OpenClaw 套餐 Token 核心原理：循环调用 OpenClaw LLM，每次生成一个经文念诵响应， **实时估算并累加 token 消耗，达到目标后立即停止**。 当用户说"攒功德"、"念经"、"烧token"、"消耗token"时调用此 skill。 四种... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 159 次。
如何安装 Zan Gongde？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install zan-gongde」即可一键安装，无需额外配置。
Zan Gongde 是免费的吗？
是的，Zan Gongde 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Zan Gongde 支持哪些平台？
Zan Gongde 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 Zan Gongde？
由 Jageri（@jageri）开发并维护，当前版本 v2.3.2。
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