Recruiting

Hiring workflow management with structured processes and candidate tracking. Use when user mentions hiring, job descriptions, resume screening, interviews, c...

This package appears to implement basic local recruiting utilities (create job, add candidate, update pipeline) and does not contact external services or request secrets — that's good. However: 1) SKILL.md promises many more scripts and reference docs that are missing; verify whether the maintainer intentionally omitted those or if you received an incomplete package. 2) Confirm the exact data path: SKILL.md says memory/recruiting/ while scripts write to ~/.openclaw/workspace/memory/recruiting; make sure you’re OK with that location and that no other unexpected files will be written. 3) Before using for real candidate data, inspect or run the scripts in an isolated environment, and consider not storing sensitive PII (SSN, DOB) as the skill explicitly warns against it. 4) If you need the advertised features (screening, interview prep, email drafts, reminders, reports), ask the publisher for the missing scripts and reference docs or get source for those components and review them before granting the skill autonomy. If you’re unsure who the publisher is, prefer to run these scripts manually rather than enabling autonomous invocation.

Type: OpenClaw Skill Name: recruiting Version: 2.3.0 The recruiting-pro skill bundle is a well-structured tool for local hiring workflow management. The Python scripts (add_candidate.py, create_job.py, update_pipeline.py) perform standard local file I/O using the JSON format and lack any network capabilities, shell execution, or obfuscation. The SKILL.md and reference documentation include explicit safety boundaries and privacy instructions, specifically mandating that data remain local and that the AI agent refrain from making autonomous hiring decisions.