candidate-dossierlisted
Install: claude install-skill tberghane/calibratr-plugins
# Candidate Dossier (Claim Verification)
## Overview
Build a complete, **evidence-cross-referenced** profile of one candidate by aggregating their full
public footprint, then verifying each claim against real data. Output: verified strengths, red
flags, key insights, and tailored interview questions — every line backed by a clickable source.
Core principle: **a claim is only as good as the artifact that proves it.** Years, skills, and
impact get checked against GitHub history, papers, launches, and answers — not taken at face value.
## When to Use
- Vetting a candidate before reaching out or advancing them
- A resume makes strong claims and you want them substantiated
- Interview prep — you want sharp, evidence-driven questions
- A candidate from `evidence-sourcing` looks promising and warrants a deep dive
**Not for:** broad discovery (`evidence-sourcing`) or numeric scoring against a rubric (`proof-of-work-scoring`).
## Configuration
If `.calibratr/config.json` exists, use `company.values` / `target_signals` / `exclusion_signals`
as the Company DNA when judging fit, and `sourcing.use_paid_providers` to decide whether to spend
credits on paid contact lookups. See the plugin's CONFIGURATION.md.
## Workflow
1. **Resolve identity.** From a resume/name/URL, extract: full name, primary email, and any
**verbatim** handles/URLs (github_username, linkedin_url, twitter, portfolio). Never construct
a handle — if it's not stated, leave it null. (See the verbatim-URL rule