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在 OpenClaw 中安装
/install prompt-optimizer-toolkit
功能描述
LLM Prompt Engineering Toolkit - 提示词分析、优化、模板化与质量评分 | Analyze, optimize, template, and score your LLM prompts with built-in engineering strategies
安全使用建议
This skill appears coherent and self-contained. Before installing: (1) be aware it writes a JSON file (default prompts.json) in the working directory — avoid using it in folders with sensitive data or set a custom storage_path; (2) it has no network calls or secret handling, and requirements.txt only includes pytest; (3) tests add an absolute workspace path to sys.path (expected for the test harness) — not a runtime concern; (4) run it in a sandbox or review the prompt storage if you plan to store sensitive prompts. Overall it is consistent with its description.
功能分析
Type: OpenClaw Skill
Name: prompt-optimizer-toolkit
Version: 1.0.0
The prompt-optimizer-toolkit is a legitimate utility for analyzing and improving LLM prompts using keyword-based scoring and templates. The code in scripts/prompt_optimizer.py performs basic string manipulations and manages a local JSON-based prompt library without any network activity, unauthorized file access, or suspicious execution patterns. All files, including SKILL.md and examples/basic_usage.py, align with the stated purpose of prompt engineering.
能力评估
Purpose & Capability
Name/description match the included Python code and examples. The code implements analysis, optimization, templating, scoring, and a local prompt library — all coherent with the stated purpose.
Instruction Scope
Runtime instructions are limited to running the provided Python module and installing Python deps. The code performs local file I/O (default storage prompts.json or user-specified path) to persist prompts; users should expect prompt data to be written to the working directory. There are no network calls, secret reads, or broad filesystem scans in the SKILL.md or code.
Install Mechanism
This is effectively instruction-only aside from a python dependency step referencing requirements.txt (which only pins pytest). No external downloads, tarballs, or obscure installers are used.
Credentials
The skill requires only python3 (declared) and no environment variables or credentials. The code does not reference hidden env vars or external service keys.
Persistence & Privilege
The skill does not request always:true and does not modify other skills or system-wide configuration. It stores prompts in a local JSON file under the chosen path (default prompts.json).
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 prompt-optimizer-toolkit - 安装完成后，直接呼叫该 Skill 的名称或使用
/prompt-optimizer-toolkit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 - prompt analysis, optimization, templates, and scoring
元数据
常见问题
Prompt Optimizer Toolkit 是什么？
LLM Prompt Engineering Toolkit - 提示词分析、优化、模板化与质量评分 | Analyze, optimize, template, and score your LLM prompts with built-in engineering strategies. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 54 次。
如何安装 Prompt Optimizer Toolkit？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install prompt-optimizer-toolkit」即可一键安装，无需额外配置。
Prompt Optimizer Toolkit 是免费的吗？
是的，Prompt Optimizer Toolkit 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Prompt Optimizer Toolkit 支持哪些平台？
Prompt Optimizer Toolkit 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 Prompt Optimizer Toolkit？
由 Lv Lancer（@kaiyuelv）开发并维护，当前版本 v1.0.0。
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