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Install in OpenClaw
/install prompt-optimizer-toolkit
Description
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
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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).
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install prompt-optimizer-toolkit - After installation, invoke the skill by name or use
/prompt-optimizer-toolkit - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release - prompt analysis, optimization, templates, and scoring
Metadata
Frequently Asked Questions
What is Prompt Optimizer Toolkit?
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. It is an AI Agent Skill for Claude Code / OpenClaw, with 54 downloads so far.
How do I install Prompt Optimizer Toolkit?
Run "/install prompt-optimizer-toolkit" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Prompt Optimizer Toolkit free?
Yes, Prompt Optimizer Toolkit is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Prompt Optimizer Toolkit support?
Prompt Optimizer Toolkit is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Prompt Optimizer Toolkit?
It is built and maintained by Lv Lancer (@kaiyuelv); the current version is v1.0.0.
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