datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
lean-agent-governance
Adaptive Runtime Security Platform for Autonomous Agents (v8.0)
A production-ready, drop-in governance layer for AI coding agents (Claude Code, Cursor, Aider).
It combines sandbox isolation, runtime telemetry, and weighted risk scoring to contain
prompt injection and malicious agent behavior before changes reach the host repository.
This is a defense-in-depth control, not a guarantee against all prompt injection — see
"Scope & Limitations" below.
Changelog: v7.2 →… See the full description on the dataset page: https://huggingface.co/datasets/Sahek/lean-agent-governance.enterprise-data-agent-governance
Enterprise Data Agent Governance
A synthetic evaluation dataset and machine-readable control framework for testing whether enterprise data agents should answer, request clarification or refuse a question.
Last reviewed: 15 September 2026 · Version: 0.1.0 · Repository type: Dataset
Enterprise Data Agent Governance is an open practitioner framework for deciding when an AI agent may answer a question from enterprise data, when it must request clarification or defer, and what… See the full description on the dataset page: https://huggingface.co/datasets/murraylovecode/enterprise-data-agent-governance.daily-paper-2026-08-14-instrumentation-bias-agent-governance
Instrumentation Bias in Self-Reported Agent Governance Compliance: Measuring the Closure-Rate Gap in Fan-Out Verification Harnesses
TL;DR — Production multi-agent coding-agent harnesses encode governance rules verified through artifacts (closure receipts). We show this audit strategy is systematically biased downward when the receipt-emitting step is expensive, invisible, or outside the auditor's scope. Baseline: 180 fan-out events across 1,877 sessions yielded only 9 closure… See the full description on the dataset page: https://huggingface.co/datasets/thaki-AI/daily-paper-2026-08-14-instrumentation-bias-agent-governance.agent-governanceenabling-bureaucracy-agent-governance
Engineering Patterns for Production Multi-Agent Governance at Portfolio Scale
An Operationalization of Enabling Bureaucracy for LLM Agent Systems
Author: Asif Waliuddin · Affiliation: NXTG.AI, Chicago, USA · License: CC BY 4.0
That formal structure can enable rather than constrain operational autonomy is an established result (Adler & Borys 1996; cybernetic roots in Beer, Ostrom, Ashby, Koestler). This paper does not claim that thesis as a discovery — it… See the full description on the dataset page: https://huggingface.co/datasets/skinny-cloud/enabling-bureaucracy-agent-governance.