Adversarial Persona Strategy
SkillDev tools'Strategy: Role-play attacks from hostile personas — competing lab researcher,
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Adversarial Persona Strategy skill
What this skill tells your AI
The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/adversarial-persona/SKILL.md and read by ahel’s review.
Construct and deploy hostile personas that attack from distinct motivational frames. Each persona has unique expertise, biases, and attack patterns.
Method
- persona-construction builds detailed adversary profiles (background, motivation, expertise, blind spots)
- Each persona attacks from their specific frame:
- Hostile Reviewer: methodological rigor, statistical validity, novelty claims
- Competing Lab: priority disputes, alternative approaches, resource efficiency
- Funding Skeptic: impact claims, feasibility, timeline realism
- Domain Outsider: jargon opacity, unstated assumptions, accessibility
- probe-execution executes persona-specific attacks
- Cross-persona findings compared to identify convergent vulnerabilities
- finding-aggregation synthesizes across all persona perspectives
Budget Table
| Parameter | S | M | L |
|---|---|---|---|
| Attack vectors | 5 | 12 | 20 |
| Probing rounds | 3 | 6 | 10 |
| Personas | 2 | 4 | 6 |
| Assumption checks | 5 | 10 | 20 |
Orchestration
persona-construction → [build N personas per budget]
→ [for each persona]:
attack-vector-generation (persona-specific vectors)
→ probe-execution (execute persona attacks)
→ finding-aggregation (cross-persona synthesis)
→ attack-resilience-scoring
Subagents
- persona-construction (adversary profile building)
- attack-vector-generation (persona-specific attack design)
- probe-execution (persona attack execution)
- finding-aggregation (cross-persona synthesis)
- attack-resilience-scoring (convergent vulnerability scoring)
Available Tactics
Optional, no fixed order; the final leaf is always a sop.
| Tactic | When to use |
|---|---|
| adversarial-roleplay | Tactic: Construct detailed hostile persona, attack artifact from that persona's perspective, record successful attack paths for aggregation. |
| structured-attack-campaign | Tactic: Full attack lifecycle — threat surface enumeration, attack vector generation, systematic probing, and finding aggregation across all surfaces. |
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| attack-resilience-scoring | Compute overall resilience score (0.0-1.0) based on attack results, coverage, and vulnerability severity distribution. |
| attack-vector-generation | Generate specific attack strategies for a given threat surface, producing concrete probes that can be executed. |
| finding-aggregation | Aggregate, deduplicate, and classify findings from multiple probes into a coherent vulnerability report. |
| persona-construction | Build a detailed adversarial persona with background, motivation, expertise, blind spots, and preferred attack patterns. |
| probe-execution | Execute a single attack probe against an artifact, record the result with evidence and severity classification. |
Signals
- GitHub stars
- 469
- Forks
- 37
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
adversarial-persona- Source
- github.com/yogsoth-ai/de-anthropocentric-research-engine