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Hiring Work Sample Evidence Calibration
Make work-sample hiring feedback comparable and job-related while exposing unsupported reviewer judgments.
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About this skill
Make work-sample hiring feedback comparable and job-related while exposing unsupported reviewer judgments.
What it checks:
- map observations to job competencies
- distinguish evidence from preference and stereotypes
- compare rater severity by task
- draft moderated score reconciliation
Deliverables:
- job-evidence matrix
- inconsistent-score flags
- panel calibration agenda
Typical case: Two candidates solve the same bug, but only one is marked 'poor culture fit' without role-related evidence.
Runtime: ChatGPT Skill
Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for Agents & Orchestration.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
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- 3
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