Execute a single attack probe against an artifact, record the result with evidence and severity classification.
Scanned 5/27/2026
Install via CLI
openskills install yogsoth-ai/de-anthropocentric-research-engine---
name: probe-execution
description: Execute a single attack probe against an artifact, record the result with evidence and severity classification.
execution: subagent
prompt: ./prompt.md
input: vector (string), artifact (string), persona (string)
used-by: [red-teaming]
---
# Probe Execution
Executes a single attack vector and records the detailed result.
## Execution
Subagent — spawned via subagent-spawning/spawn-agent.
## Why Subagent
Probe execution requires committed adversarial stance. The prober must genuinely attempt to break the artifact without pulling punches or rationalizing away findings.
## Input
- **vector**: The specific attack vector to execute (from attack-vector-generation)
- **artifact**: The artifact being probed
- **persona**: Optional adversarial persona to adopt during probing
## Output
- **result**: success/failure/partial (did the attack find a vulnerability?)
- **evidence**: Specific evidence supporting the result
- **severity**: critical/major/minor (if vulnerability found)
- **follow_up**: Whether deeper probing is warranted
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Universal deep research agent team. 13-agent pipeline for rigorous academic research on any topic. 7 modes: full research, quick brief, paper review, lit-review, fact-check, Socratic guided research dialogue, and systematic review with optional meta-analysis. Covers research question formulation, Socratic mentoring, methodology design, systematic literature search, source verification, cross-source synthesis, risk of bias assessment, meta-analysis, APA 7.0 report compilation, editorial review...