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Use when user input is vague, underspecified, lacks boundaries or acceptance criteria, or would benefit from being reframed into a more executable prompt before work begins. Also use when user explicitly asks to optimize/refine/improve a prompt.
作者
TaiChangXieBuWan
· GitHub ↗
· v1.0.0
· MIT-0
148
总下载
1
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install prompt-refiner
功能描述
Use when user input is vague, underspecified, lacks boundaries or acceptance criteria, or would benefit from being reframed into a more executable prompt bef...
安全使用建议
This skill appears coherent and low-risk, but check three implementation details before installing: (1) Confirm the session-learner implementation truly stores only compact preference signals (e.g., "prefers popup"), never full prompt contents or originals. (2) Verify the AskUserQuestion popup and any UI flow do not send refined/original prompts to third-party endpoints or logs accessible by others. (3) Decide whether you want autonomous invocations allowed for this skill (default is allowed); if you prefer manual control, disable autonomous use or require explicit confirmation. If these items are satisfied, the skill is appropriate for refining user prompts.
功能分析
Type: OpenClaw Skill
Name: prompt-refiner
Version: 1.0.0
The 'prompt-refiner' skill is a utility designed to improve vague user prompts by adding structure, goals, and constraints. It follows a transparent workflow that requires user confirmation via a popup before executing refined prompts and explicitly instructs the agent not to record full prompt text when sending preference signals to the 'session-learner' component (SKILL.md).
能力评估
Purpose & Capability
The name/description match the runtime instructions: refine vague prompts, offer confirmation, and optionally emit a compact preference signal. The skill does not request unrelated environment variables, binaries, or install steps — nothing appears excessive for a prompt-refiner.
Instruction Scope
SKILL.md confines actions to extracting the user's original prompt and session context, producing a refined prompt, asking the user to confirm, and emitting a short learning signal for a separate session-learner. This is appropriate for the purpose, but it relies on platform integrations (AskUserQuestion popup and session-learner) that are not declared in the metadata. The instructions explicitly forbid recording full prompt text, which is good practice; verify that implementations follow that rule.
Install Mechanism
No install spec and no code files — instruction-only skills have the lowest install risk because nothing is downloaded or written to disk.
Credentials
The skill declares no required environment variables, credentials, or config paths. No hidden requests for secrets are present in the instructions or reference material.
Persistence & Privilege
always:false and normal autonomous invocation are appropriate. The only persistence hint is the interaction with a session-learner that accumulates preference patterns; this raises privacy/retention considerations (see guidance) but does not itself indicate privilege escalation or incoherence.
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-refiner - 安装完成后，直接呼叫该 Skill 的名称或使用
/prompt-refiner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 prompt-refiner.
- Refines vague user prompts into clear, actionable, verifiable instructions before execution.
- Provides popup confirmation if the refinement adds significant value, letting the user choose between refined and original prompts.
- Supports auto-apply and optimize-only modes based on user instructions.
- Integrates with session-learner to learn user preferences without storing full prompt texts.
- Bypasses refinement for well-specified tasks or when instructed by the user.
元数据
常见问题
Use when user input is vague, underspecified, lacks boundaries or acceptance criteria, or would benefit from being reframed into a more executable prompt before work begins. Also use when user explicitly asks to optimize/refine/improve a prompt. 是什么？
Use when user input is vague, underspecified, lacks boundaries or acceptance criteria, or would benefit from being reframed into a more executable prompt bef... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 148 次。
如何安装 Use when user input is vague, underspecified, lacks boundaries or acceptance criteria, or would benefit from being reframed into a more executable prompt before work begins. Also use when user explicitly asks to optimize/refine/improve a prompt.？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install prompt-refiner」即可一键安装，无需额外配置。
Use when user input is vague, underspecified, lacks boundaries or acceptance criteria, or would benefit from being reframed into a more executable prompt before work begins. Also use when user explicitly asks to optimize/refine/improve a prompt. 是免费的吗？
是的，Use when user input is vague, underspecified, lacks boundaries or acceptance criteria, or would benefit from being reframed into a more executable prompt before work begins. Also use when user explicitly asks to optimize/refine/improve a prompt. 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Use when user input is vague, underspecified, lacks boundaries or acceptance criteria, or would benefit from being reframed into a more executable prompt before work begins. Also use when user explicitly asks to optimize/refine/improve a prompt. 支持哪些平台？
Use when user input is vague, underspecified, lacks boundaries or acceptance criteria, or would benefit from being reframed into a more executable prompt before work begins. Also use when user explicitly asks to optimize/refine/improve a prompt. 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 Use when user input is vague, underspecified, lacks boundaries or acceptance criteria, or would benefit from being reframed into a more executable prompt before work begins. Also use when user explicitly asks to optimize/refine/improve a prompt.？
由 TaiChangXieBuWan（@lq434239）开发并维护，当前版本 v1.0.0。
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