datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
agentskillos-benchmark
AgentSkillOS Benchmark
Official benchmark release for Organizing, Orchestrating, and Benchmarking Agent Skills at Ecosystem Scale.
GitHub project: https://github.com/ynulihao/AgentSkillOS
This release is a file-based benchmark package. It contains the original task definitions and the bundled task assets that are needed by tasks with local input files.
Contents
data/tasks.jsonl: normalized task index for load_dataset(...)
tasks/: the original 30 benchmark task… See the full description on the dataset page: https://huggingface.co/datasets/NPULH/agentskillos-benchmark.agent-skill-vulnerabilities
Agent Skill Vulnerability Scenarios (defanged, teaching)
from datasets import load_dataset
ds = load_dataset("fevziegeyurtsevenler/agent-skill-vulnerabilities")
Deliberately-vulnerable, defanged agent-extension artifacts — for training detectors & hands-on learning.
Schema
column
meaning
id
scenario
artifact_type
SKILL.md / mcp.json
content, walkthrough
artifact + defense
Related AltaySec resources
🕵️ uncloak scanner:… See the full description on the dataset page: https://huggingface.co/datasets/fevziegeyurtsevenler/agent-skill-vulnerabilities.agent-skills-security-grades
Agent Skills Security Grades
Security grades and quality scores for 130,173 open-source AI agent skills and
MCP servers collected from GitHub, from Agent Skills Hub.
Each row is one skill/server with a rule-based security grade
(SAFE / CAUTION / UNSAFE / REJECT / UNAUDITED), red-flag identifiers, and a
0–100 quality score.
Why this exists
AI coding agents install third-party skills that run with the agent's full
permissions and credentials, but marketplaces rank… See the full description on the dataset page: https://huggingface.co/datasets/jasonzhuyansen/agent-skills-security-grades.agent-skills
Agent Skills Dataset
61,650 agent skills collected from GitHub repositories. Each skill contains name, description, and full markdown content. Useful for skill retrieval and agent training.
Dataset Structure
id: Unique identifier for the skill
name: Skill name
description: Skill description and usage instructions
owner: Repository owner
repo: Repository name
skill_md_path: Path to the skill markdown file
content: Full skill content in markdown format
Usage… See the full description on the dataset page: https://huggingface.co/datasets/LittleDinoC/agent-skills.atr-skill-benchmark
ATR Skill-Security Benchmark
A labeled corpus of SKILL.md files for evaluating detection of malicious agent
skills — prompt injection, tool poisoning, credential theft, malware droppers
and supply-chain attacks hidden inside natural-language agent instructions.
Published as part of Agent Threat Rules (ATR),
an open, vendor-neutral detection standard for AI agents (like Sigma, but for
agent attacks).
Why this exists
SKILL.md files are natural-language instructions… See the full description on the dataset page: https://huggingface.co/datasets/Agent-Threat-Rule/atr-skill-benchmark.agent-skill-malware
Agent Skill Malware: Malicious vs Benign Agent Skills
Binary classification dataset of OpenClaw agent skill files (SKILL.md).
127 malicious + 223 benign = 350 samples, deduplicated by content hash.
Source
Malicious: Real skills from malicious campaigns targeting ClawHub (Feb 2026), extracted from the openclaw/skills GitHub archive. They use social engineering in markdown instructions to trick agents/users into running malware -- primarily AMOS (Atomic macOS Stealer)… See the full description on the dataset page: https://huggingface.co/datasets/yoonholee/agent-skill-malware.SkillLeakBench
SkillLeakBench
A credential-leakage benchmark for LLM agent skills, from the ASE 2026 paper How Your Credentials Are Leaked by LLM Agent Skills: An Empirical Study.
📄 Paper: https://arxiv.org/abs/2604.03070
💻 Code & detection pipeline: https://github.com/AgentSkillsPrivacy/SkillLeakBench
📦 Archive: https://doi.org/10.5281/zenodo.19367969
Dataset summary
We collected 170,226 skills from SkillsMP and analyzed a 17,022-skill sample with static secret extraction… See the full description on the dataset page: https://huggingface.co/datasets/AgentSkillPrivacy/SkillLeakBench.AgentSkiller-11Khan-cross-agent-skill-transfer-benchmark-dataset-v1
Humanoid Cross-Agent Skill Transfer Benchmark Dataset
This dataset benchmarks how effectively
skills learned by one humanoid agent
can be transferred to another agent
within a decentralized cognitive network.
Objective
To measure cross-agent generalization,
adaptation speed, and transfer efficiency.
Data Fields
source_agent_skill_profile
target_agent_initial_profile
transferred_skill_vector
adaptation_steps
performance_improvement_percentage… See the full description on the dataset page: https://huggingface.co/datasets/achiepatricia/han-cross-agent-skill-transfer-benchmark-dataset-v1.Agent-Skills-Retrieveragent-skill-malware
Agent Skill Malware: Malicious vs Benign Agent Skills
Binary classification dataset of OpenClaw agent skill files (SKILL.md).
127 malicious + 223 benign = 350 samples, deduplicated by content hash.
Source
Malicious: Real skills from malicious campaigns targeting ClawHub (Feb 2026), extracted from the openclaw/skills GitHub archive. They use social engineering in markdown instructions to trick agents/users into running malware -- primarily AMOS (Atomic macOS Stealer)… See the full description on the dataset page: https://huggingface.co/datasets/TongxiQu/agent-skill-malware.agent-skillsAgentSkiller-11K