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tolibear

Promptify Skill

by tolibear · GitHub ↗ · v3.1.0
cross-platform ⚠ suspicious
3307
Downloads
6
Stars
17
Active Installs
2
Versions
Install in OpenClaw
/install promptify
Description
Optimize prompts for clarity and effectiveness. Use when user says "improve this prompt", "optimize my prompt", "make this clearer", or provides vague/unstructured prompts. Intelligently routes to sub-agents for codebase research, clarifying questions, or web search as needed.
Usage Guidance
This skill appears coherent and does what it says: optimize prompts, ask clarifying questions, read project files when you request +deep, and search the web when you request +web. Before installing or using it, consider: (1) If you use +deep, confirm the agent's file-access scope so it doesn't read unrelated system files or secrets in the repo. (2) Web search and WebFetch will contact external sites — avoid including sensitive data in prompts that will be sent externally. (3) The skill copies optimized prompts to the clipboard (pbcopy) — clipboard contents can be read by other local apps, so avoid copying secrets. (4) Review the host agent's tool permissions (AskUserQuestion, file-read, web access) and disable +deep/+web when not needed. If you want greater assurance, request the author provide explicit bounds for file-system access and a short manifest of what the web researcher will fetch.
Capability Analysis
Type: OpenClaw Skill Name: promptify Version: 3.1.0 The skill is classified as suspicious due to the explicit instruction for the AI agent to execute shell commands with broad file system access and direct command execution capabilities. Specifically, `agents/codebase-researcher.md` and `commands/promptify.md` instruct the agent to use `Glob`, `Grep`, `Read`, and `LS` for 'codebase exploration', granting extensive read access to the file system. Additionally, `SKILL.md` and `commands/promptify.md` instruct the agent to execute `echo 'PROMPT' | pbcopy`, which is a direct command execution using agent-generated content. While these actions are presented as part of the skill's stated purpose (prompt optimization and codebase research), they represent high-risk capabilities that could be leveraged for unauthorized data access or command injection if the agent's behavior is subverted.
Capability Assessment
Purpose & Capability
Name/description (prompt optimization) align with declared behavior: clarifier, codebase research, and web research sub-agents are appropriate for improving prompts that reference projects, require clarification, or need current best practices. No unrelated credentials, binaries, or config paths are requested.
Instruction Scope
SKILL.md and agent docs instruct the agent to read project files (Glob/Grep/Read) when +deep is used and to perform web searches/fetches when +web is used. This is consistent with purpose, but +deep implies file-system reads of the codebase — ensure the agent's file access is scoped to the intended project directory and that users avoid including secrets in prompts.
Install Mechanism
No install spec and no code files — instruction-only skill (lowest install risk). README suggests typical install commands for external platforms but the skill package itself contains only docs.
Credentials
The skill requires no environment variables or credentials. The documented tools (AskUserQuestion, WebSearch, WebFetch, Glob/Grep/Read) are proportional to the described functions; no unexplained secret access is requested.
Persistence & Privilege
always:false and no special persistence requested. disable-model-invocation:false (agent may invoke autonomously) is the platform default and acceptable here — not combined with broad credentials or persistent system changes.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install promptify
  3. After installation, invoke the skill by name or use /promptify
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v3.1.0
**Changelog for promptify 3.1.0** - Simplified prompt optimization instructions for improved clarity and brevity. - Consolidated and clarified modifier and trigger sections, focusing on key agent dispatch logic. - Streamlined the contract checklist and process steps for faster, more consistent prompt upgrades. - Moved from detailed markdown tables to concise lists and summary tables where possible. - Added standalone command documentation in commands/promptify.md.
v3.0.0
v3: Auto-detection routing, sub-agents for codebase research, clarification, and web search
Metadata
Slug promptify
Version 3.1.0
License
All-time Installs 18
Active Installs 17
Total Versions 2
Frequently Asked Questions

What is Promptify Skill?

Optimize prompts for clarity and effectiveness. Use when user says "improve this prompt", "optimize my prompt", "make this clearer", or provides vague/unstructured prompts. Intelligently routes to sub-agents for codebase research, clarifying questions, or web search as needed. It is an AI Agent Skill for Claude Code / OpenClaw, with 3307 downloads so far.

How do I install Promptify Skill?

Run "/install promptify" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Promptify Skill free?

Yes, Promptify Skill is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Promptify Skill support?

Promptify Skill is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Promptify Skill?

It is built and maintained by tolibear (@tolibear); the current version is v3.1.0.

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