Aggregate, deduplicate, and classify findings from multiple probes into a coherent vulnerability report.
Scanned 6/1/2026
Install to Claude Code
Skills Directorynpx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill finding-aggregation --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: finding-aggregation
description: Aggregate, deduplicate, and classify findings from multiple probes into a coherent vulnerability report.
execution: subagent
prompt: ./prompt.md
input: findings (string), attack_metadata (string)
used-by: [red-teaming]
---
# Finding Aggregation
Synthesizes findings from multiple attack probes into a coherent, deduplicated report.
## Execution
Subagent — spawned via subagent-spawning/spawn-agent.
## Why Subagent
Aggregation requires neutral analytical stance — neither inflating nor minimizing findings. The aggregator must see patterns across individual probe results.
## Input
- **findings**: All probe results from the campaign
- **attack_metadata**: Metadata about attack coverage (surfaces hit, vectors used, personas deployed)
## Output
- **vulnerabilities**: Deduplicated list classified by severity and type
- **patterns**: Cross-cutting patterns observed across multiple probes
- **coverage_gaps**: Surfaces or dimensions not adequately tested
- **recommendations**: Prioritized hardening actions
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