Resume Evaluator for Openclaw

A professional AI-driven recruitment tool that generates structured resume evaluation reports from an HR expert perspective.

kongkong827
v1.0.0
Mar 18, 2026
0
1.1k
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install resume-evaluation-report

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-evaluation-report 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 Evaluator?

The Resume Evaluator is a high-performance skill designed to bridge the gap between raw candidate data and actionable hiring intelligence. By analyzing uploaded files in various formats, it synthesizes candidate strengths, identifies potential red flags, and provides a comprehensive star-rating system across multiple professional dimensions. This tool acts as a seasoned HR Director, offering blunt, objective, and data-backed insights directly to hiring managers.

Built for the Openclaw Skills ecosystem, it automates the tedious first pass of resume screening. It doesn't just summarize; it critiques, looking for career gaps, role inconsistencies, and achievement metrics to ensure only the most qualified candidates progress to the interview stage.

Resume Evaluator Use Cases

  • High-volume initial resume screening for recruitment teams.
  • Identifying hidden risks such as frequent job-hopping or mismatched educational timelines.
  • Generating tailored, high-impact interview questions based on specific candidate backgrounds.
  • Providing objective third-party evaluations for hiring managers to avoid subjective bias.
  • Analyzing candidate suitability for specific job roles or company growth stages.

How Resume Evaluator Works

  1. Content Extraction: The skill identifies the file format (PDF, DOCX, or Image) and utilizes specialized libraries like PyPDF2 or python-docx to extract text accurately.
  2. Candidate Deep-Dive: The AI analyzes the extracted text against professional HR benchmarks, focusing on stability, professional depth, and performance metrics.
  3. Report Synthesis: It organizes findings into a strict five-part structure: overall recommendation, basic profile, core strengths, potential risks, and suggested interview questions.
  4. Final Output: Delivers a highly readable Markdown report featuring tables, star ratings, and prioritized action items for the user.

Resume Evaluator Setup

To enable the resume evaluator within your environment, ensure you have the necessary document processing dependencies installed. This skill integrates seamlessly into the Openclaw Skills framework.

# Install required text extraction libraries
pip install PyPDF2 python-docx

# Deploy the resume evaluator skill
openclaw install resume-evaluator

Resume Evaluator Data Schema & Taxonomy

The skill organizes data into a structured report following a rigorous taxonomy:

Section Data Points Included
Overall Recommendation Star rating (1-5), Pass/Fail status, core judgment summary.
Candidate Portrait Years of experience, current level, education details, industry focus.
Core Strengths Bulleted list of proven advantages with evidence from the resume.
Potential Risks Red flags (stability, background doubts) and verification points.
Interview Guide Question sets categorized by motivation, technical depth, and culture fit.

Resume Evaluator Advanced Features

  • Multi-format support including PDF, Word documents, and image-based resumes via OCR.
  • Automated star-rating system for objective candidate benchmarking.
  • Intelligent Red Flag detection for identifying career inconsistencies or 'job-hopping' patterns.
  • Context-aware analysis that adapts its tone and depth based on the seniority of the position.
  • Strategic interview question generation mapped directly to identified candidate weaknesses.

SKILL.md


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