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agimodel

Qualify

by AGImodel · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
274
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Install in OpenClaw
/install qualify
Description
Qualify leads, prospects, clients, candidates, projects, opportunities, and requests before deeper time, money, or effort is committed. Use when someone need...
Usage Guidance
This skill appears to be a harmless advisor that returns qualification frameworks, scorecards, and workflows. It does not request credentials or install software. Before enabling, consider: (1) it can be invoked autonomously by default — if you prefer manual control disable model invocation for the skill; (2) do not paste sensitive or proprietary data into prompts unless you intend the agent to use or store it; and (3) if you later integrate these outputs with CRMs or other tools, that integration may require credentials — review any future changes that add env vars or install steps before granting access.
Capability Analysis
Type: OpenClaw Skill Name: qualify Version: 1.0.0 The 'qualify' skill bundle is a purely instructional framework designed to help an AI agent assist users with business qualification logic (e.g., screening leads or projects). It contains no executable code, network requests, or data exfiltration patterns, and its instructions in skill.md are strictly aligned with its stated purpose of decision-making and filtering.
Capability Assessment
Purpose & Capability
The name/description (qualify leads, projects, candidates, etc.) matches the SKILL.md content: frameworks, scorecards, workflows, and response rules. No unrelated binaries, credentials, or config paths are requested.
Instruction Scope
SKILL.md contains guidance, templates, and example data structures only. It does not instruct the agent to read system files, access environment variables, call external endpoints, or transmit data. The instructions are scoped to producing qualification artifacts and diagnostic guidance.
Install Mechanism
No install spec and no code files — instruction-only. Nothing will be downloaded or written to disk by an installer, which minimizes supply-chain risk.
Credentials
The skill declares no required environment variables, credentials, or config paths. There are no requests for tokens, keys, or unrelated service access that would be disproportionate to an advisory skill.
Persistence & Privilege
always is false and the skill is user-invocable. disable-model-invocation is false (agent can invoke autonomously) which is the platform default; this autonomy is not combined with broad privileges or secrets access.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install qualify
  3. After installation, invoke the skill by name or use /qualify
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release
Metadata
Slug qualify
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Qualify?

Qualify leads, prospects, clients, candidates, projects, opportunities, and requests before deeper time, money, or effort is committed. Use when someone need... It is an AI Agent Skill for Claude Code / OpenClaw, with 274 downloads so far.

How do I install Qualify?

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

Is Qualify free?

Yes, Qualify is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Qualify support?

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

Who created Qualify?

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

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