recruitment-assistant

Security checks across static analysis, malware telemetry, and agentic risk

Overview

This is a coherent instruction-only résumé screening helper with no hidden code or install behavior, but it will handle sensitive candidate data and generate hiring-related reports.

Before installing, make sure the jobs folder contains only the résumés you intend to process, protect the generated reports, and treat AI scores and interview questions as drafts for human review rather than final hiring decisions. Verify your agent/model data-handling setup if your organization requires candidate data to remain strictly local.

Static analysis

Static analysis findings are pending for this release.

VirusTotal

VirusTotal findings are pending for this skill version.

View on VirusTotal

Risk analysis

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.

What this means

Candidate contact details, evaluations, and rankings may be stored in generated reports and exposed if the job folder or report is shared too broadly.

Why it was flagged

The skill explicitly extracts applicant personal data from résumés and saves AI-generated evaluation reports locally.

Skill content
“基础信息 | 从内容中提取姓名、联系方式、工作年限、学历” ... “生成的报告保存在本地职位文件夹中”
Recommendation

Use only intended résumé folders, restrict access to generated reports, and delete or redact reports when they are no longer needed.

What this means

Stale, overly broad, or unintentionally edited interviewer preferences could affect later candidate evaluations.

Why it was flagged

A persistent preference file can influence screening and interview-question generation across multiple roles.

Skill content
“personalprefer.txt:放在 jobs/ 根目录” ... “全局共享:所有职位使用同一个面试官偏好配置”
Recommendation

Limit who can edit personalprefer.txt, review it before important screening runs, and avoid storing irrelevant or legally sensitive hiring criteria in it.

What this means

Users may assume the entire agent environment satisfies a no-cloud/no-upload requirement for candidate data.

Why it was flagged

The documentation makes a broad privacy assurance for sensitive recruitment data.

Skill content
“所有处理在本地完成” / “简历数据不上传云端”
Recommendation

If recruitment data must not leave a controlled environment, confirm the host agent and model-provider configuration meet that requirement before use.