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Prompt Entropy
Create concise, high-signal prompts and agent instructions without losing constraints, authority, or verification requirements.
Free
Works with the AI Agents you already use
Prompt Entropy
Example session with this skill installed
Refine this prompt for a sub-agent: “Check the code for security bugs. Look for SQL injection. Don’t worry about formatting. If you find something, tell me how to fix it.” Preserve the task boundary and make findings actionable.
- Read your context and instructions
- Compiled the prompt entropy
Illustrative result: security review prompt
This example shows how Prompt Entropy can turn a vague request into a bounded, checkable instruction. The output below is an example prompt, not a claim that a codebase was inspected.
Revised prompt
Review the provided source code for security vulnerabilities, prioritizing SQL injection.
Scope and authority
- Analyze the accessible code only. Do not modify files or apply fixes.
- Ignore formatting, style, and lint issues.
- Do not infer vulnerabilities without evidence in the supplied code.
For each finding, report:
1. Severity and a concise title.
2. File and line location, or the nearest available code reference.
3. The relevant code path and why it is vulnerable.
4. A concrete remediation that addresses the cause.
If no SQL injection issue is found, state that this specific check found none. Do not claim a complete security audit unless other vulnerability classes were also examined.
What changed
- Kept the requested focus on SQL injection.
- Preserved the instruction to ignore formatting.
- Made the analysis-only boundary explicit.
- Added evidence and location requirements while limiting any “no findings” statement to the checked scope.
Next step
Give the sub-agent access to the intended source files and specify any project-specific database framework or review rules.
Huan Dev skill group
This skill is part of the six-skill Huan Dev collection: https://github.com/HuanHuanHuanFFF/huan-dev
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About this skill
Prompt Entropy
Prompt Entropy helps turn rough requests into precise instructions for models, coding agents, and delegated sub-agents. It improves clarity and information density while preserving the requirements that change the result.
What it does
- Extracts the required outcomes, scope, constraints, and safeguards before rewriting.
- Adapts context pointers and formatting to the intended recipient and artifact type.
- Removes redundant wording only when it does not affect decisions or behavior.
- Checks the revised prompt for lost requirements, unsupported assumptions, and unclear authority.
Use it for delegation handoffs, reusable prompt templates, and SKILL.md instruction design. It refines instructions; it does not perform the task described unless explicitly asked.
Part of the Huan Dev skill group
Prompt Entropy is one of six related, free skills for a grounded development workflow. Browse the complete collection and source code: Huan Dev on GitHub.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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