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Step 02b Persona Passes

GPTClaudeDeepSeek··1,098 copies·updated 2026-07-14
step-02b-persona-passes.prompt
# Step 2b: Adversarial Persona Passes (Phase B)

**Skip this step entirely if `review_scope = minimal`.**

Phase B dispatches adversarial persona subagents AFTER Phase A base reviewers complete. Personas receive the diff AND a summary of Phase A findings, so they go deeper — not wider.

## Prerequisites

From step-02 (Phase A):
- `base_findings_summary` — condensed Phase A findings
- `diff_content` — full diff (same as Phase A)
- `domain_complexity` — from step-01

## Persona Selection

Select which personas to activate based on scope and domain:

| Condition | Personas Activated | Batching |
|-----------|-------------------|----------|
| `scope=minimal` | NONE — skip this step | — |
| `scope=full, domain=low/medium/unknown` | Security Adversary + Failure Mode Analyst | 1 batch of 2 |
| `scope=full, domain=high` | All 4 personas | 2 batches of 2 |

### Batching Order (domain=high)

- **Batch 1:** Security Adversary + Failure Mode Analyst (run in parallel)
- **Batch 2:** Assumption Destroyer + Scope Complexity Critic (run in parallel, after batch 1 completes)

This respects the max-3-agent rule (Phase A is already done; Phase B runs 2 at a time).

## Persona Dispatch

For each selected persona:
1. Load persona prompt from `prompts/personas/{persona-name}.md`
2. Load skeptic anchor from `prompts/skeptic-anchor.md`
3. Spawn a subagent with this context:

fill the variables

This prompt has 1 variable. Pro fills them into a ready-to-paste prompt for you — no manual find-and-replace.

{persona-name}
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when to use it

Community prompt sourced from the open-source GitHub repo ngocsangyem/MeowKit (MIT). A "Step 02b Persona Passes" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.

tags

productivitycommunitydeveloper

source

ngocsangyem/MeowKit · MIT