AI Recruiting Engine
PassAudited by VirusTotal on May 12, 2026.
Overview
Type: OpenClaw Skill Name: afrexai-recruiting-engine Version: 1.0.0 The skill bundle provides a comprehensive, well-structured set of instructions and frameworks for an AI agent to perform full-cycle recruiting tasks. All content in SKILL.md and README.md is descriptive, outlining processes, scorecards, and templates. There are no explicit shell commands, network calls, file system operations, or prompt injection attempts designed to subvert the agent's behavior, exfiltrate data, or perform unauthorized actions. The 'Automation Opportunities' section describes expected, legitimate capabilities for a recruiting agent, with explicit mentions of 'public info only' for research and 'human approval' for sensitive actions like sending outreach or making final decisions, indicating a responsible design.
Findings (0)
Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.
Users could over-rely on AI-generated scores or recommendations when making employment decisions.
This positions the agent as handling end-to-end recruiting decisions, including high-stakes hiring steps, even though the artifacts do not show hidden automation or tool access.
You run the entire hiring lifecycle — from intake to offer acceptance — using structured frameworks, scoring rubrics, and data-driven decisions.
Use the skill as a drafting and structuring aid, require human recruiter or hiring-manager review, and follow applicable employment, privacy, and anti-discrimination policies.
Candidate personal information, interview notes, and AI-generated evaluations may be retained or reused if placed into pipeline files or conversation context.
The skill is intended to process resumes and maintain candidate pipeline information, which can include personal data and evaluative employment records.
Resume Screening — 100-point scorecard across technical fit, impact evidence, and culture alignment; Pipeline Tracking — YAML-based candidate pipeline with weekly health metrics
Minimize candidate personal data, avoid unnecessary protected-class information, store any pipeline files securely, and define retention and access controls before using it with real candidates.