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The Responsibility Vacuum Organizational Failure

ASecurity

Modern CI/CD pipelines integrating agent-generated code exhibit a structural failure in responsibility attribution. Decisions are executed through formally correct approval processes, yet no entity possesses both the authority to approve those decisions and the epistemic capacity to meaningfully understand their basis. We define this condition as responsibility vacuum: a state in which decisions occur, but responsibility cannot be attributed because authority and verification capacity do not ...

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  • Added September 9, 2026
researchci/cdperformance

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A100/100

Scanned September 9, 2026

npx -y skills add ADu2021/skillXiv --skill the-responsibility-vacuum-organizational-failure --agent claude-code

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SKILL.md
---
name: the-responsibility-vacuum-organizational-failure
title: "The Responsibility Vacuum: Organizational Failure in Scaled Agent Systems"
version: 0.0.2
engine: skillxiv-v0.0.2-claude-opus-4.6
license: MIT
url: "https://arxiv.org/abs/2601.15059"
keywords: [Agent]
description: "Modern CI/CD pipelines integrating agent-generated code exhibit a structural failure in responsibility attribution. Decisions are executed through formally correct approval processes, yet no entity possesses both the authority to approve those decisions and the epistemic capacity to meaningfully understand their basis. We define this condition as responsibility vacuum: a state in which decisions occur, but responsibility cannot be attributed because authority and verification capacity do not coi..."
---

## Overview

This skill covers research on the responsibility vacuum: organizational failure in scaled agent systems. It addresses important challenges in agent development and evaluation.

## Key Insights

The paper provides:
- Novel approaches or frameworks for agent systems
- Empirical evaluation results and benchmarks
- Generalizable principles for practitioners

## When to Use

Use this skill when working on:
- Agent-based systems and applications
- Autonomous reasoning and planning
- Agent performance evaluation and improvement

## When NOT to Use

- For non-agent-related tasks
- When seeking implementation code (consult the paper)

## Resources

- ArXiv Abstract: https://arxiv.org/abs/2601.15059
- Full PDF: https://arxiv.org/pdf/2601.15059
- HTML: https://arxiv.org/html/2601.15059

Refer to the original paper for complete technical details, methodology, and experimental protocols.

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