Adversarial Roleplay Tactic
SkillDev tools'Tactic: Construct detailed hostile persona, attack artifact from that
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 Roleplay Tactic skill
What this skill tells your AI
The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/adversarial-roleplay/SKILL.md and read by ahel’s review.
Deploy constructed hostile personas to attack the artifact from distinct motivational frames.
Orchestration
- persona-construction builds detailed adversary profile:
- Background and expertise domain
- Motivation for attacking (career incentive, resource competition, ideological)
- Known blind spots and biases of this persona type
- Preferred attack patterns
- attack-vector-generation generates vectors specific to persona's expertise and motivation
- probe-execution executes attacks while maintaining persona consistency
- Successful attack paths recorded with persona attribution
- Process repeats for each persona (budget-limited)
- finding-aggregation cross-references findings across personas for convergent vulnerabilities
Subagents Dispatched
- persona-construction (1 call per persona)
- attack-vector-generation (1 call per persona)
- probe-execution (N calls per persona, budget-limited)
- finding-aggregation (1 call at end, cross-persona)
Termination Conditions
- All budgeted personas deployed and exhausted
- Convergent vulnerability found by 2+ personas (high-confidence finding)
- Single persona finds critical vulnerability (early report)
- Budget exhausted (report per-persona findings separately)
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| 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-roleplay- Source
- github.com/yogsoth-ai/de-anthropocentric-research-engine