← 返回 Skills 市场
106
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install test-time-compute-guide
功能描述
Learn to enhance LLM performance using test-time compute with parallel sampling, sequential revision, and process reward models for better reasoning.
安全使用建议
This is a documentation/guide skill with example code — not an executable package. Before implementing the examples, review any third-party PRM or model code you incorporate (the guide mentions a "custom process reward model") and avoid sending sensitive data to remote APIs or untrusted models. Expect higher compute and token costs when using best-of-N/parallel sampling and beam-search strategies. If you later install or copy third-party PRM implementations, vet their source, dependencies, and network behavior before running them.
功能分析
Type: OpenClaw Skill
Name: test-time-compute-guide
Version: 1.0.0
The skill bundle is an educational guide focused on LLM reasoning techniques such as test-time compute and chain-of-thought. The code examples in SKILL.md are conceptual Python snippets for sampling and beam search that do not perform any risky operations, and the documentation contains no instructions designed to hijack the agent's behavior or exfiltrate data.
能力评估
Purpose & Capability
Name/description (test-time compute, CoT, PRMs) align with the content. Declared dependencies (Transformers, custom PRM) are reasonable for implementing the described techniques. No unrelated environment variables, binaries, or config paths are requested.
Instruction Scope
SKILL.md contains explanatory text and small example snippets (Python pseudocode) showing how to implement parallel sampling, sequential revision, and beam search with a PRM. It does not instruct the agent to read arbitrary files, access unrelated environment variables, or transmit data to unexpected external endpoints.
Install Mechanism
No install spec is provided (instruction-only), so nothing will be downloaded or written to disk by the skill itself. This is the lowest-risk installation model.
Credentials
The skill does not request credentials or environment variables. The suggested dependencies (Transformers, custom PRM) are appropriate for the task. There are no suspiciously broad or unrelated secret requirements.
Persistence & Privilege
always is false and the skill is user-invocable only. It does not request permanent presence or make changes to other skills or system-wide settings.
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 test-time-compute-guide - 安装完成后，直接呼叫该 Skill 的名称或使用
/test-time-compute-guide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 of test-time-compute-guide skill.
- Introduces core concepts of test-time compute (TTC) and chain-of-thought (CoT) reasoning for LLMs.
- Includes explanations of parallel sampling, sequential revision, process reward models, and self-consistency strategies.
- Provides practical guidance on when to use different reasoning approaches based on question difficulty.
- Features Python code examples demonstrating prompting, best-of-N sampling, and process-reward-guided beam search.
- Lists required dependencies for implementation.
元数据
常见问题
Test Time Compute Guide 是什么？
Learn to enhance LLM performance using test-time compute with parallel sampling, sequential revision, and process reward models for better reasoning. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 106 次。
如何安装 Test Time Compute Guide？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install test-time-compute-guide」即可一键安装，无需额外配置。
Test Time Compute Guide 是免费的吗？
是的，Test Time Compute Guide 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Test Time Compute Guide 支持哪些平台？
Test Time Compute Guide 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 Test Time Compute Guide？
由 Robinyves（@robinyves）开发并维护，当前版本 v1.0.0。
推荐 Skills