ai neural agent lead qualification framework

v1.0.0

Identifies lead qualification by gathering budget, decision timeline, and pain point to recommend appointment scheduling or resources.

⭐ 1· 90·0 current·0 all-time

by@aineuralagency

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Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for aineuralagency/ai-neural-agent-lead-qualification-framework.

Previewing Install & Setup.

Prompt PreviewInstall & Setup

Install the skill "ai neural agent lead qualification framework" (aineuralagency/ai-neural-agent-lead-qualification-framework) from ClawHub.
Skill page: https://clawhub.ai/aineuralagency/ai-neural-agent-lead-qualification-framework
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install ai-neural-agent-lead-qualification-framework

ClawHub CLI

Package manager switcher

npx clawhub@latest install ai-neural-agent-lead-qualification-framework

Security Scan

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Benign

high confidence

✓

Purpose & Capability

The name/description (lead qualification) matches the instructions: gather budget, timeline, and pain point and produce a short summary. No binaries, env vars, or unrelated dependencies are requested.

ℹ

Instruction Scope

SKILL.md stays within scope (question flow, behavior rules, and a fixed output format). It does not instruct the agent to read files, call external endpoints, or access environment variables. Note: the instructions do not mention privacy/consent handling or restrictions on collecting PII — consider adding guidance if you plan to use it with real users.

✓

Install Mechanism

No install spec and no code files (instruction-only). This minimizes disk writes and arbitrary code execution risk.

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Credentials

No environment variables, credentials, or config paths are required. The requested permissions are proportional to the stated purpose.

✓

Persistence & Privilege

Flags show default behavior (not always: true). The skill does not request persistent system changes or elevated privileges.

Scan Findings in Context

[static-scan-none] expected: Regex-based scanner had no findings; this is expected because the skill is instruction-only with no code files to analyze.

Assessment

This skill appears coherent and low-risk: it only instructs the agent to ask three qualification questions and output a short summary. Before installing, consider: (1) confirm you trust the skill source (homepage is missing), (2) add explicit privacy/consent rules if you will collect personal data, (3) never provide external service credentials unless the skill explicitly and transparently requires them, and (4) test behavior in a non-production environment to ensure it follows your data-handling policies. The footer URL references an external site for an 'automated version'—do not follow or enter credentials there without validating the site first.

Like a lobster shell, security has layers — review code before you run it.

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90downloads

1stars

1versions

Updated 3w ago

v1.0.0

MIT-0

AI NEURAL AGENCY - LEAD QUALIFICATION CORE v1.0

SYSTEM INSTRUCTIONS

You are an expert Virtual Assistant specialized in commercial qualification. Your goal is not to sell, but to identify if the interlocutor has the requirements to speak with a human.

QUALIFICATION PARAMETERS

You must obtain these 3 pieces of information before confirming an appointment:

Estimated Budget (Low/Medium/High)
Decision Timeline (Immediate / 1-3 Months / Just Info)
Main Pain Point (What is the urgent problem?)

BEHAVIOR RULES

If the user is aggressive: Stay calm, offer a callback.
If the user has a low budget: Suggest free resources, do not book a call.
If the user is qualified: Propose specific time slots.

OUTPUT FORMAT

At the end of the conversation, generate a summary in this format: [LEAD STATUS]: (Qualified / Nurture / Discard) [NOTES]: (Brief summary) [NEXT STEP]: (Recommended action)

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