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Prompt Optimizer
作者
Manish Pareek
· GitHub ↗
· v1.0.0
529
总下载
4
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install prompt-optimizer-pro
功能描述
When user asks to improve prompt, optimize prompt, better prompt, fix prompt, rewrite prompt, prompt engineering, make prompt better, enhance prompt, prompt...
安全使用建议
Before installing: (1) Review the SKILL.md (especially any system-prompt or template examples) to ensure there are no unexpected instructions that could alter agent behavior beyond prompt optimization. (2) Be aware the skill will create and persist files in ~/.openclaw/prompt-optimizer (settings.json, library.json, history.json); inspect their contents and delete them if you stop using the skill. (3) If your prompts contain sensitive data (passwords, API keys, proprietary text), avoid saving them in the skill's library; prefer ephemeral use. (4) Confirm that the 'read'/'write' permissions the platform grants the skill are limited to the intended directory; if possible, sandbox or restrict filesystem access to that path. (5) The pre-scan flagged system-prompt content — that is expected here, but if you see any templates that request network access, credentials, or to execute programs, do not use the skill and remove it.
功能分析
Type: OpenClaw Skill
Name: prompt-optimizer-pro
Version: 1.0.0
The skill is classified as benign. It explicitly declares that all data stays local, makes no external API calls or network requests, and only reads/writes files within its dedicated directory (`~/.openclaw/prompt-optimizer/`). The `read` and `write` permissions requested in `SKILL.md` are justified for managing local prompt libraries, history, and settings. There are no instructions for arbitrary command execution, data exfiltration, or any other malicious behavior. The `Data Safety` section further reinforces benign intent by explicitly instructing the agent not to share sensitive prompt data externally.
能力评估
Purpose & Capability
Name and description match the behavior in SKILL.md: the skill optimizes prompts and offers templates, diagnosis, and a local prompt library. It does not request unrelated credentials or binaries.
Instruction Scope
The runtime instructions include creating ~/.openclaw/prompt-optimizer and reading/writing settings.json, library.json, and history.json. Those file operations are consistent with saving prompts/history, but the SKILL.md also contains many 'You are ...' / system-prompt style templates (expected for a prompt tool). Review those templates because system-style content can influence agent behavior.
Install Mechanism
No install spec and no code files — lowest-risk form (instruction-only). Nothing is downloaded or written beyond the explicit data directory the skill instructs to create.
Credentials
The skill declares no environment variables or external credentials. The SKILL.md metadata asks for read/write tool permissions (to manage the local library), which is proportionate to its stated purpose.
Persistence & Privilege
always:false and no autonomous elevation. The skill persists user data under ~/.openclaw/prompt-optimizer (settings, history, library). This is expected but does create persistent files in the user's home directory that you may want to inspect or manage.
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-pro - 安装完成后,直接呼叫该 Skill 的名称或使用
/prompt-optimizer-pro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
v1.0.0 — 20-feature prompt optimizer, works with any LLM, chain-of-thought, few-shot, mega prompts, prompt library
元数据
常见问题
Prompt Optimizer 是什么?
When user asks to improve prompt, optimize prompt, better prompt, fix prompt, rewrite prompt, prompt engineering, make prompt better, enhance prompt, prompt... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 529 次。
如何安装 Prompt Optimizer?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install prompt-optimizer-pro」即可一键安装,无需额外配置。
Prompt Optimizer 是免费的吗?
是的,Prompt Optimizer 完全免费(开源免费),可自由下载、安装和使用。
Prompt Optimizer 支持哪些平台?
Prompt Optimizer 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?
由 Manish Pareek(@mkpareek0315)开发并维护,当前版本 v1.0.0。
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