Evaluate a candidate against gate criteria and render GO/KILL/RECYCLE verdict with evidence.
Scanned 5/27/2026
Install via CLI
openskills install yogsoth-ai/de-anthropocentric-research-engine---
name: gate-judgment
description: Evaluate a candidate against gate criteria and render GO/KILL/RECYCLE verdict with evidence.
execution: subagent
prompt: ./prompt.md
input: candidate, gate_criteria
used-by: feasibility-assessment
---
# Gate Judgment
Evaluate a specific candidate against defined gate criteria and render a verdict: GO (proceed to next stage), KILL (terminate), or RECYCLE (rework and re-evaluate). Every verdict is backed by evidence.
## Execution
Spawns a subagent that:
1. Receives candidate data and gate criteria specification
2. Evaluates candidate against each criterion
3. Applies the pass rule to determine overall verdict
4. Documents evidence for each criterion evaluation
5. Specifies conditions for advancement if verdict is not GO
## Why Subagent
Gate judgment must be rigorous and unbiased. A dedicated subagent applies criteria mechanically without emotional attachment to the candidate, ensuring honest evaluation.
## HARD-GATE
Output MUST include: verdict (GO/KILL/RECYCLE), per-criterion evaluation with evidence, and conditions for advancement. Reject if verdict is not supported by criterion-level evaluation.
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Universal deep research agent team. 13-agent pipeline for rigorous academic research on any topic. 7 modes: full research, quick brief, paper review, lit-review, fact-check, Socratic guided research dialogue, and systematic review with optional meta-analysis. Covers research question formulation, Socratic mentoring, methodology design, systematic literature search, source verification, cross-source synthesis, risk of bias assessment, meta-analysis, APA 7.0 report compilation, editorial review...