What problem does it solve?
Recruiters and sourcers spend hours manually sourcing candidates, scoring them against role-specific rubrics, and drafting personalized outreach, while facing high risk of bias, compliance violations (NYC LL 144, EU AI Act, EEOC), and accidental auto-send of messages to candidates. This Skill automates the end-to-end sourcing workflow while enforcing strict guardrails to eliminate these risks.
Core Features & Use Cases
- Fairness-first rubric validation and scoring: Blocks biased ICP rubrics containing protected-class proxies before candidate retrieval, then scores each candidate 1-5 on skill match, level fit, company pattern fit, and response likelihood with required evidence citations to prevent biased scoring.
- Multi-channel compliant sourcing: Natively formats queries for Juicebox, hireEZ, and LinkedIn Recruiter, with strict adherence to platform ToS (no public LinkedIn scraping) and deterministic pre-filters to remove stale, excluded, or do-not-poach candidates.
- Compliance and auditability: Enforces a mandatory human-review gate before any outreach is sent, maintains an audit log with rubric SHA-256 hashes per run, and surfaces all skipped candidates with reasons for full transparency during NYC LL 144, EU AI Act, or EEOC audits.
- Use Case: A recruiter with a Senior Backend Engineer role and a vetted ICP rubric can generate a ranked shortlist with personalized outreach drafts in minutes, with a full audit trail to defend the process during compliance reviews.
Quick Start
Provide the path to your job profile Markdown file, the path to your vetted ICP rubric, and your preferred sourcing channel to generate a ranked candidate shortlist with draft outreach messages ready for your review.