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prompt-optimizer-cn
作者
ucsdzehualiu
· GitHub ↗
· v1.0.0
· MIT-0
134
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install prompt-optimizer-cn
功能描述
复杂任务专用迭代式提示词优化器。严格执行ACON论文的两阶段迭代优化+APE自动提示工程，仅在用户明确要求时触发，优化完主动收集反馈，支持多轮迭代直到满意。
安全使用建议
This skill is instruction-only and appears coherent for its stated purpose. Before installing: (1) confirm your platform enforces the 'only when user asks' invocation if you require that guarantee (the SKILL.md forbids automatic triggering but model invocation is allowed by default), (2) test the skill with non-sensitive prompts to validate it truly preserves critical signals and does not leak or alter intent, and (3) avoid placing secrets or sensitive data inside prompts you feed to the optimizer (the skill processes prompt text but has no declared protections). If you need higher assurance, request the ACON/APE paper references or a transparency note from the publisher about how strict verification is implemented.
功能分析
Type: OpenClaw Skill
Name: prompt-optimizer-cn
Version: 1.0.0
The skill bundle is a prompt optimization tool that implements academic methodologies (ACON and APE) for iterative prompt engineering. The SKILL.md file contains structured instructions for the agent to analyze, enhance, and compress user-provided prompts while maintaining functional integrity and seeking user feedback; no malicious code, data exfiltration, or unauthorized execution patterns were found.
能力评估
Purpose & Capability
Name and description (prompt optimizer for complex tasks using ACON+APE) match the SKILL.md instructions. The skill does not request unrelated credentials, binaries, or config paths — nothing requested appears extraneous to prompt optimization.
Instruction Scope
SKILL.md provides a narrow, prescriptive workflow (parse input, extract key signals, generate 5 candidates, score, compress, iterate on feedback). It only operates on the user-provided prompt and user feedback; it does not instruct reading files, environment variables, or calling external endpoints. The '100% retain key signals' and strict verification steps are procedural guarantees in the text (effectiveness claims) not additional runtime privileges.
Install Mechanism
Instruction-only skill with no install spec and no code files. No downloads or package installs are declared, so there is no installation risk.
Credentials
No environment variables, credentials, or config paths are required. The skill does not ask for unrelated secrets or broad system access.
Persistence & Privilege
The SKILL.md repeatedly states the optimizer must only trigger when the user explicitly requests it ('绝不自动触发'), but the skill metadata leaves model invocation enabled (disable-model-invocation: false). Autonomous invocation alone is not a security flaw, but there is a minor mismatch between the skill's self-imposed restriction and the platform-level invocation setting — you should confirm the platform enforces the 'user-request-only' behavior if that guarantee matters to you.
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-cn - 安装完成后，直接呼叫该 Skill 的名称或使用
/prompt-optimizer-cn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
- 首个版本发布，基于ACON和APE论文提出的两阶段迭代提示词优化流程。
- 支持解析并锁定用户任务意图，提取并全程保留关键信号。
- 结合APE机制，多风格并行生成候选指令，自动评分选优，并严格验证信号完整性。
- 引入阶段化冗余压缩，支持λ参数灵活控制压缩率，兼顾效果与长度。
- 优化结果输出后主动收集用户反馈，支持多轮迭代直至满意。
- 仅在用户明确请求时触发，严格限制自动执行。
元数据
常见问题
prompt-optimizer-cn 是什么？
复杂任务专用迭代式提示词优化器。严格执行ACON论文的两阶段迭代优化+APE自动提示工程，仅在用户明确要求时触发，优化完主动收集反馈，支持多轮迭代直到满意。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 134 次。
如何安装 prompt-optimizer-cn？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install prompt-optimizer-cn」即可一键安装，无需额外配置。
prompt-optimizer-cn 是免费的吗？
是的，prompt-optimizer-cn 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
prompt-optimizer-cn 支持哪些平台？
prompt-optimizer-cn 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-cn？
由 ucsdzehualiu（@ucsdzehualiu）开发并维护，当前版本 v1.0.0。
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