Resume Risk Screen PRO for Openclaw

A production-grade AI agent skill designed for high-precision resume screening, risk detection, and structured data extraction.

donotwannatry
v0.1.2
Apr 1, 2026
0
797
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install resume-risk-screen

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install resume-risk-screen using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Resume Risk Screen PRO?

Resume Risk Screen PRO is a sophisticated tool built for the Openclaw Skills ecosystem to streamline the recruitment pipeline. It functions as a security-conscious screening agent that analyzes candidate resumes for logical inconsistencies, career gaps, and inflated achievements. Unlike basic parsers, this skill implements a rigorous safety sandbox to prevent prompt injection attacks from untrusted external documents, ensuring your automated workflows remain secure and reliable.

By leveraging this skill within Openclaw Skills, organizations can transform unstructured resume text into verifiable, high-quality data. It categorizes candidates into technical profiles and assigns a granular risk rating, allowing HR teams to focus their energy on high-potential, low-risk talent while maintaining a standardized evaluation process across the entire hiring funnel.

Resume Risk Screen PRO Use Cases

  • High-volume automated labeling and tagging for recruitment agencies handling thousands of applicants.
  • Identifying hidden career gaps or overlapping full-time roles that suggest potential background issues.
  • Detecting unrealistic career progressions and title jumps that don't match years of experience.
  • Extracting structured data for seamless integration into enterprise Applicant Tracking Systems (ATS).

How Resume Risk Screen PRO Works

  1. The skill initiates a security audit to detect prompt injection attempts or non-resume content within the input text.
  2. It performs a timeline validation to identify gaps exceeding three months or overlapping full-time employment periods.
  3. The agent conducts a role-matching analysis, comparing job titles against total years of experience and technical complexity.
  4. It evaluates business impact claims, flagging vague metrics that lack clear baselines or attribution logic.
  5. The skill produces a dual-layer output consisting of a Markdown summary for human recruiters and a strict JSON block for automated processing.

Resume Risk Screen PRO Setup

To integrate this skill into your environment, ensure you are using the Openclaw Skills framework. Use the following CLI command to install the skill module:

openclaw install resume_risk_screen

Once installed, configure your agent to pass resume text as input. The skill requires an LLM capable of maintaining strict JSON formatting for the data exchange layer.

Resume Risk Screen PRO Data Schema & Taxonomy

The skill produces a structured data exchange contract to ensure machine interoperability. The schema details are as follows:

Property Description Data Type
safety_check Indicates if the input passed anti-injection protocols (PASS/BLOCKED) String
candidate_name The extracted name of the applicant String/Null
risk_level Categorized risk rating from Low to High Enum
primary_role Identified professional archetype (e.g., Backend, Architect) Enum
flags List of specific logic or timeline risks detected Array of Objects
background_check_focus Recommended areas for human verification Array of Strings

Resume Risk Screen PRO Advanced Features

  • Advanced Prompt Injection Protection: Automatically terminates processing if instructions like "Ignore all previous instructions" are detected in the resume text.
  • Logical Evidence Tracking: Every flagged risk includes a direct quote from the source text as evidence for HR review.
  • Automated Interview Question Generation: Generates targeted "killer questions" based on specific technical ambiguities found in the resume.
  • Multi-Layered Output Architecture: Separates human-readable summaries from machine-consumable data to support both manual and automated workflows.

SKILL.md


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