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self-improving-question-system-for-better-results

作者 EVAFAN7 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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当前安装
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在 OpenClaw 中安装
/install self-improving-question-system-for-better-results
功能描述
Unlock dramatically better AI responses by automatically diagnosing and elevating prompt quality. Use this skill when the user wants more accurate, actionabl...
安全使用建议
This skill is instruction-only and internally consistent with its goal: it will silently evaluate your prompt on a 10-point checklist and ask focused clarifying questions until the prompt meets its quality thresholds or you say 'PROCEED ANYWAY'. It asks for no credentials and installs nothing. Consider whether you are comfortable with the 'Silent Evaluation' behavior (the skill will not show its internal checks to you) and with the subjective trigger language (it may ask clarification more often than you expect). If you prefer full transparency, ask the agent to expose the checklist/results rather than keeping them internal before installing or enabling the skill.
功能分析
Type: OpenClaw Skill Name: self-improving-question-system-for-better-results Version: 1.0.0 The skill bundle contains instructions for a prompt-engineering framework designed to improve AI response quality through a structured 10-point evaluation process. It lacks any executable code, network requests, or data exfiltration logic, and its instructions are entirely focused on clarifying user intent and enhancing prompt context within the skill.md file.
能力评估
Purpose & Capability
Name and description match the instructions: the skill evaluates prompt quality and asks targeted clarification questions before producing a final answer. It does not request external services, binaries, or credentials that would be unrelated to this purpose.
Instruction Scope
The SKILL.md gives a clear 10-point checklist and a deterministic loop for clarification. Two items to note: (1) the 'Silent Evaluation Principle' instructs the agent to keep the analysis internal and not expose the evaluation process — this is a design choice (not a direct security issue) but reduces transparency to the user about what checks were applied; (2) the trigger rules include subjective language ('any request where prompt quality is clearly insufficient'), which could lead to broader invocation than strictly necessary. Both are functional/design concerns rather than incoherent or malicious behavior.
Install Mechanism
No install spec or code files — instruction-only. Nothing is written to disk and there are no downloads or third-party packages, which minimizes install-time risk.
Credentials
The skill requires no environment variables, credentials, or config paths. Requested access is proportional (none) to the stated purpose of asking clarification questions and responding.
Persistence & Privilege
always is false and there are no indications the skill modifies other skills or system settings. Autonomous invocation (disable-model-invocation=false) is the platform default and, by itself, is not a concern here.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install self-improving-question-system-for-better-results
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /self-improving-question-system-for-better-results 触发
  4. 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 a self-improving question system that diagnoses and enhances prompt quality for better AI-generated answers. - Introduces a silent 10-point quality checklist to evaluate prompt clarity, completeness, relevance, and rigour. - Automatically enters "Enhancement Mode" to challenge users with targeted clarification questions when prompt quality is insufficient. - Ensures critical output dimensions (clarity, context, success criteria) are addressed before generating an answer. - Provides a clear, professional feedback format to guide users in refining their requests or proceeding as-is. - Supports looping for iterative improvement, capping at 3 rounds unless the user opts to proceed.
元数据
Slug self-improving-question-system-for-better-results
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

self-improving-question-system-for-better-results 是什么?

Unlock dramatically better AI responses by automatically diagnosing and elevating prompt quality. Use this skill when the user wants more accurate, actionabl... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 172 次。

如何安装 self-improving-question-system-for-better-results?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install self-improving-question-system-for-better-results」即可一键安装,无需额外配置。

self-improving-question-system-for-better-results 是免费的吗?

是的,self-improving-question-system-for-better-results 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

self-improving-question-system-for-better-results 支持哪些平台?

self-improving-question-system-for-better-results 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 self-improving-question-system-for-better-results?

由 EVAFAN7(@evafan7)开发并维护,当前版本 v1.0.0。

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