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Install in OpenClaw
/install resume-screener-pro
Description
完整招聘解决方案 - 四阶段一站式流程（简历筛选→面试设计→面试评估→最终推荐）。整合Topgrading方法论、绩效预测、ATS优化、bias控制和深度追问技巧，适合HR招聘负责人、猎头、面试官使用。V3.0 超级增强版。
Usage Guidance
This skill appears coherent for resume screening and interview design, but before using it with real candidate data: 1) Confirm where processed resumes and evaluation outputs are stored and who can access them (privacy/PII risk). 2) Avoid uploading sensitive personal data until you understand retention and logging policies; test with anonymized or synthetic resumes first. 3) If you plan to enable integrations (ATS, '配套Skills', or external tools), verify what credentials those integrations will require and grant least privilege. 4) Ask the skill provider or platform how outbound network calls are handled — the SKILL.md does not declare external endpoints, but runtime integrations could introduce them. 5) If you need legal/compliance guarantees (consent, data residency), obtain them before processing real candidate files.
Capability Analysis
Type: OpenClaw Skill
Name: resume-screener-pro
Version: 3.0.0
The skill bundle 'resume-screener-pro' consists of metadata and a comprehensive set of Markdown instructions (SKILL.md) for an AI agent to perform recruitment tasks. It outlines a structured four-stage process including requirement discovery, resume screening, interview design using established methodologies (Topgrading, PEARL), and candidate evaluation. There is no executable code, no network activity, and no evidence of prompt injection or data exfiltration; the instructions are entirely consistent with the stated purpose of HR assistance.
Capability Assessment
Purpose & Capability
Name/description (完整招聘流程) align with the SKILL.md: all described steps (resume parsing, ATS checks, scorecards, interview question design, evaluation, recommendation) are implemented as instructions. There are no unrelated environment variables, binaries, or install steps required.
Instruction Scope
The instructions are focused on screening, interview design, and evaluation and only require user-provided inputs (PDF/DOCX/TXT resumes and JD). They do not instruct the agent to read arbitrary system files or environment variables. NOTE: the skill will process personal data (candidate resumes, contact info, job history) — the SKILL.md does not mention data retention, logging, or external transmission, so the user should confirm how the agent handles sensitive PII before sending real candidate data. The SKILL.md also references several '配套Skills' by name (tailored-resume-generator, discovery-interview, conducting-interviews, etc.) but does not declare integrations or required credentials for them; if the runtime environment provides those skills, the agent might call them.
Install Mechanism
Instruction-only skill with no install spec and no code files. Nothing will be written to disk or downloaded by the skill itself as distributed.
Credentials
The skill declares no required environment variables, credentials, or config paths. That is proportionate to an instruction-only, on-agent guidance skill. There are no hidden credential requests in the SKILL.md.
Persistence & Privilege
always is false and the skill does not request persistent system presence or modifications to other skills. It is user-invocable and can be invoked autonomously per platform defaults; that is expected for this type of skill and is not combined with other concerning privileges.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install resume-screener-pro - After installation, invoke the skill by name or use
/resume-screener-pro - Provide required inputs per the skill's parameter spec and get structured output
Version History
v3.0.0
Version 3.0.0 (超级增强版)
- 新增“迭代式需求确认”阶段，强调先沟通再执行，避免需求偏差。
- 集成ATS检测，自动评估简历格式及关键词匹配，支持转行候选人分析。
- 面试题库与评估流程全面升级：采纳深度追问（6层深）、PEARL 框架、失败复盘及协作模拟等最佳实践。
- 增加判断候选人实质能力的面试追问方法，有效区分表面与真实水平。
- 输出结构优化：所有流程报告模板完善，更便于直观对比和决策。
- 配套Skills扩充，支持简历定制、产品访谈、深度面试等关联流程。
v1.0.1
Updated onion peeling interview method: three-layer structure (STAR法则->深挖挑战->底层校验)
v1.0.0
- Initial release of resume-screener-pro: a complete four-stage recruitment solution for screening, interview design, evaluation, and final recommendation.
- Integrates Topgrading methodology, performance prediction, and bias control for structured, data-driven hiring.
- Provides detailed formats and processes for resume screening, interview question design, multi-expert evaluation, and recommendation matrix.
- Designed for HR leads, recruiters, and interviewers; supports end-to-end hiring workflows.
- Includes usage tips and related skill integrations for resume optimization, interview analysis, and coaching.
Metadata
Frequently Asked Questions
What is Resume Screener Pro?
完整招聘解决方案 - 四阶段一站式流程（简历筛选→面试设计→面试评估→最终推荐）。整合Topgrading方法论、绩效预测、ATS优化、bias控制和深度追问技巧，适合HR招聘负责人、猎头、面试官使用。V3.0 超级增强版。 It is an AI Agent Skill for Claude Code / OpenClaw, with 898 downloads so far.
How do I install Resume Screener Pro?
Run "/install resume-screener-pro" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Resume Screener Pro free?
Yes, Resume Screener Pro is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Resume Screener Pro support?
Resume Screener Pro is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Resume Screener Pro?
It is built and maintained by wuritu (@wuritu); the current version is v3.0.0.
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