Build a detailed adversarial persona with background, motivation, expertise, blind spots, and preferred attack patterns.
Scanned 5/27/2026
Install via CLI
openskills install yogsoth-ai/de-anthropocentric-research-engine---
name: persona-construction
description: Build a detailed adversarial persona with background, motivation, expertise, blind spots, and preferred attack patterns.
execution: subagent
prompt: ./prompt.md
input: persona_type (string), artifact_domain (string)
used-by: [red-teaming]
---
# Persona Construction
Builds detailed adversary personas for roleplay-based attacks.
## Execution
Subagent — spawned via subagent-spawning/spawn-agent.
## Why Subagent
Persona construction requires creative character building without contamination from the artifact's perspective. The persona must feel authentic and internally consistent.
## Input
- **persona_type**: Category of adversary (hostile-reviewer, competing-lab, funding-skeptic, domain-outsider, or custom)
- **artifact_domain**: The domain of the artifact being attacked (for expertise calibration)
## Output
- **persona**: Complete adversary profile (name, background, motivation, expertise, blind spots)
- **attack_style**: How this persona typically attacks (preferred patterns)
- **trigger_phrases**: What aspects of artifacts particularly provoke this persona
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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...