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在 OpenClaw 中安装
/install token-sisyphus
功能描述
Burn LLM tokens toward a target count to satisfy corporate AI usage KPIs. Trigger when user says: burn tokens, consume tokens, fill KPI, push the boulder, si...
安全使用建议
This skill is coherent but intentionally wasteful: it will make many API calls and can incur significant cost. Before running: 1) Use --dry-run to verify behavior without cost. 2) Use a scoped or test API key (do NOT supply org-wide admin keys). 3) If you use --base-url, only point to endpoints you trust (untrusted endpoints could receive the prompt text). 4) Start with a small target and monitor billing/usage. The registry metadata appears to have a formatting bug for env vars — double-check the env var names in SKILL.md before supplying credentials.
功能分析
Type: OpenClaw Skill
Name: token-sisyphus
Version: 1.0.2
The 'token-sisyphus' skill is a utility designed to intentionally consume LLM tokens to meet usage quotas. The implementation in `scripts/burn.py` uses official SDKs (OpenAI, Anthropic, Gemini) to send harmless prompts from a hardcoded list until a user-specified token target is reached. The code is transparent, lacks any obfuscation, and does not perform unauthorized data exfiltration or system modifications.
能力评估
Purpose & Capability
Name/description match the included script and SKILL.md: the tool repeatedly issues chat/generation requests to consume tokens. The env vars and optional SDK installs (OpenAI/Anthropic/Gemini) correspond to the providers the skill targets. Note: the registry metadata shows 'Required env vars: [object Object]' which appears to be a formatting/parsing bug but the SKILL.md clearly documents the three provider API env vars.
Instruction Scope
Runtime instructions are narrowly scoped to installing provider SDKs, setting an API key, and running the bundled burn.py. The script does not read unrelated system files or secrets beyond provider API keys. One noteworthy capability: openai provider accepts an arbitrary --base-url, which is useful for compatible providers but means requests can be pointed to custom endpoints—ensure any custom endpoint is trusted to avoid sending data/tokens to an untrusted server.
Install Mechanism
This is instruction-only with a bundled Python script; no remote downloads or archive extraction. It optionally instructs pip installs for provider SDKs (openai, anthropic, google-generativeai), which is typical and low-risk compared to arbitrary downloads. The script will exit with an error if the required SDK is missing at runtime.
Credentials
Only provider API keys (OPENAI_API_KEY, ANTHROPIC_API_KEY, GEMINI_API_KEY) are used, which is proportional to the stated functionality. These are sensitive credentials that grant billing and API access — the user should prefer scoped/test keys rather than org-wide or admin keys. The SKILL.md marks these env vars optional, but a live run will need one of them (or --api-key) to make real requests.
Persistence & Privilege
The skill is not always-on, is user-invocable, and does not request elevated or persistent system privileges or attempt to modify other skills or system-wide agent settings. Autonomous invocation is allowed by default but not combined with other red flags here.
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-sisyphus - 安装完成后，直接呼叫该 Skill 的名称或使用
/token-sisyphus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
v1.0.2
Fix: bundle burn.py directly into skill package (no external git clone). Add required env vars (OPENAI/ANTHROPIC/GEMINI API keys) and pip install specs to metadata for full transparency.
v1.0.1
Burn LLM tokens to satisfy your company AI KPI. Supports OpenAI, Claude, Gemini, and any OpenAI-compatible API.
元数据
常见问题
token-sisyphus 是什么？
Burn LLM tokens toward a target count to satisfy corporate AI usage KPIs. Trigger when user says: burn tokens, consume tokens, fill KPI, push the boulder, si... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 141 次。
如何安装 token-sisyphus？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install token-sisyphus」即可一键安装，无需额外配置。
token-sisyphus 是免费的吗？
是的，token-sisyphus 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
token-sisyphus 支持哪些平台？
token-sisyphus 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 token-sisyphus？
由 Near（@neardws）开发并维护，当前版本 v1.0.2。
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