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evafan7

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

by EVAFAN7 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install self-improving-question-system-for-better-results
Description
Unlock dramatically better AI responses by automatically diagnosing and elevating prompt quality. Use this skill when the user wants more accurate, actionabl...
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install self-improving-question-system-for-better-results
  3. After installation, invoke the skill by name or use /self-improving-question-system-for-better-results
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Slug self-improving-question-system-for-better-results
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

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

Unlock dramatically better AI responses by automatically diagnosing and elevating prompt quality. Use this skill when the user wants more accurate, actionabl... It is an AI Agent Skill for Claude Code / OpenClaw, with 172 downloads so far.

How do I install self-improving-question-system-for-better-results?

Run "/install self-improving-question-system-for-better-results" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

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

Yes, self-improving-question-system-for-better-results is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does self-improving-question-system-for-better-results support?

self-improving-question-system-for-better-results is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

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

It is built and maintained by EVAFAN7 (@evafan7); the current version is v1.0.0.

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