screening-alert-adjudication-amir-fadavi

Installation
SKILL.md

Screening Alert Adjudication

This skill adjudicates a single screening hit — a name that an upstream screening system flagged as a possible match against a sanctions list, PEP list, adverse-media source, or similar watchlist — and reaches one of three conclusions:

  • True positive (TP) — the screened party is the listed party
  • False positive (FP) — the screened party is not the listed party
  • Escalate — evidence is insufficient to deterministically conclude either way; hand off to a human analyst with the full evidence record

Why this skill exists

Screening systems generate enormous volumes of low-quality alerts. Analysts spend their time clearing alerts that should never have fired (wrong entity type, common name with no overlap on identifiers, partial-name matches that ignore naming convention). A deterministic, criteria-driven adjudication layer can clear the obvious false positives and confirm the obvious true positives, leaving humans to focus on the genuinely ambiguous cases.

The skill is designed around two non-negotiable properties:

  1. Determinism. Given identical evidence, the skill reaches an identical conclusion. The skill never weighs probabilities, never says "this looks like" or "probably is." A rule either fires or it doesn't.
  2. Conservatism. Escalation is the safe default. No rule fires unless every one of its preconditions is satisfied. Better to escalate a clear case than to wrongly clear an ambiguous one.

How the work is organized

Installs
4
GitHub Stars
635
First Seen
Jun 26, 2026
screening-alert-adjudication-amir-fadavi — lawve-ai/awesome-legal-skills