rejection-feedback

Draft evidence-grounded rejection feedback from interviewer scorecards with legal guardrails.

Updated May 2, 2026
One-click install
npx skills add https://github.com/marius-bughiu/ooligo --skill rejection-feedback
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: rejection-feedback
Source: https://github.com/marius-bughiu/ooligo/tree/main/apps/web/public/artifacts/rejection-feedback-claude-skill
Command: npx skills add https://github.com/marius-bughiu/ooligo --skill rejection-feedback

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Recruiters face significant legal and candidate experience risk when drafting post-interview rejection feedback, as ad-hoc wording can violate EEOC guidelines, jurisdiction-specific employment laws, or include unsubstantiated claims that expose the company to discrimination or defamation claims.

Core Features & Use Cases

  • Compliant, Evidence-Grounded Drafting: Generates personalized rejection emails and recruiter call talking points using only verified interviewer scorecard data and approved rubric phrasing, eliminating unvetted, risky language.
  • Multi-Layer Safety Guardrails: Automatically blocks banned phrases, false specifics, and comparative ranking language, halts drafting for jurisdiction-flagged or legally sensitive cases, and requires recruiter review before any content is sent.
  • Use Case: For a recruiter who just completed an onsite interview loop for a Senior Backend Engineer role and the candidate explicitly requested feedback, this skill pulls signed scorecards, cross-references interview transcripts if available, and produces a vetted draft saved to your local drafts folder for review.

Quick Start

Provide the candidate's ATS ID, role ID, residency jurisdiction, and whether feedback was requested to generate a vetted rejection feedback draft saved to your drafts folder for review.

Frequently Asked Questions about rejection-feedback

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I draft post-interview rejection feedback that complies with EEOC guidelines?

To draft EEOC-compliant rejection feedback, use structured interviewer scorecards and role rubrics to generate evidence-grounded drafts. This process screens for banned phrases and requires verbatim evidence citation to eliminate discriminatory language and unauthorized auto-sending risks.

What is the best way to generate evidence-based candidate rejection emails from scorecard data?

The best way to generate evidence-based rejection emails is to cross-reference signed interviewer scorecards and interview transcripts against approved role rubrics. This ensures the feedback contains only verified data, preventing unsubstantiated claims that could cause defamation issues.

Can I automate sending rejection feedback to candidates in legally sensitive jurisdictions?

You cannot automate sending rejection feedback in legally sensitive jurisdictions. The system halts drafting for jurisdiction-flagged cases and enforces a mandatory recruiter review step before any content is sent, ensuring compliance with local employment laws.

How do I handle candidate rejection feedback when there is insufficient scorecard evidence?

When handling rejection feedback with insufficient scorecard evidence, the drafting process identifies these edge cases and halts. This prevents the generation of false specifics or unvetted language, requiring you to provide adequate rubric data before proceeding.

Does rejection feedback generation work without structured interviewer scorecards and rubrics?

Rejection feedback generation does not work without structured interviewer scorecards and role rubrics. It relies strictly on verified scorecard data and approved rubric phrasing to enforce guardrails, block banned phrases, and maintain audit logging for compliance.

Why should I use an automated drafting process for candidate rejection feedback instead of manual entry?

You should use automated drafting for rejection feedback to enforce multi-layer safety guardrails automatically. It blocks comparative ranking language, halts for legal flags, and requires verbatim evidence citation, significantly reducing exposure to discrimination claims compared to ad-hoc wording.