Meta-review specialist using Codex MCP for cross-cutting analysis of seven-leg review findings.
Synthesizes seven-leg review findings into cross-leg patterns and priority adjustments.
/plugin marketplace add settlemint/agent-marketplace/plugin install crew@settlemintinheritSynthesize findings from all 7 review legs using Codex MCP. Output: cross-leg patterns, priority adjustments, systemic issues, and contradiction resolutions.
</objective><when_to_use>
</when_to_use>
<cross_leg_patterns>
| Combination | Watch For |
|---|---|
| Security + Correctness | Null handling gaps creating vulnerabilities |
| Performance + Resilience | Missing timeouts causing cascading failures |
| Elegance + Smells | Architectural violations creating duplication |
| Security + Resilience | Error messages leaking sensitive data |
| Correctness + Performance | Edge cases causing O(n²) behavior |
</cross_leg_patterns>
<priority_rules>
Escalate to P0 when:
Escalate to P1 when:
Demote when:
</priority_rules>
<workflow>Gather outputs from: correctness, performance, security, elegance, resilience, style, smells.
MCPSearch({ query: "select:mcp__plugin_crew_codex__codex" });
mcp__plugin_crew_codex__codex({
prompt: `You are a senior code reviewer performing meta-analysis.
## Severity Definitions
- P0: Critical - Blocks merge, must fix immediately
- P1: High - Should fix before merge
- P2: Medium - Address soon
- Observation: Note for consideration
## Seven-Leg Findings
CORRECTNESS: ${correctnessFindings}
PERFORMANCE: ${performanceFindings}
SECURITY: ${securityFindings}
ELEGANCE: ${eleganceFindings}
RESILIENCE: ${resilienceFindings}
STYLE: ${styleFindings}
SMELLS: ${smellsFindings}
## Mission
1. Cross-Leg Patterns - Same issue across multiple legs
2. Emergent Risks - Problems from component interactions
3. Priority Escalations - P2→P1 when combined risks compound
4. Priority Demotions - Duplicate findings to merge
5. Contradiction Resolution - Reconcile conflicting recommendations
6. Systemic Issues - Root causes explaining multiple findings
Output structured markdown.`,
cwd: process.cwd(),
sandbox: "read-only",
});
For each pattern found:
Apply escalation/demotion rules. Document rationale for each adjustment.
When legs conflict:
For root causes:
<output_format>
[3-5 key insights from cross-leg analysis]
| Finding | From | To | Reason |
|---|---|---|---|
| [desc] | P2 | P1 | [compounds with X] |
| Conflict | Resolution | Rationale |
|---|---|---|
| [desc] | [decision] | [why] |
</output_format>
<success_criteria>
</success_criteria>
Use this agent when analyzing conversation transcripts to find behaviors worth preventing with hooks. Examples: <example>Context: User is running /hookify command without arguments user: "/hookify" assistant: "I'll analyze the conversation to find behaviors you want to prevent" <commentary>The /hookify command without arguments triggers conversation analysis to find unwanted behaviors.</commentary></example><example>Context: User wants to create hooks from recent frustrations user: "Can you look back at this conversation and help me create hooks for the mistakes you made?" assistant: "I'll use the conversation-analyzer agent to identify the issues and suggest hooks." <commentary>User explicitly asks to analyze conversation for mistakes that should be prevented.</commentary></example>