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zjunlp/SkillNet-Fabric

SkillNet-Fabric This repository contains the released Skills and graphs, benchmark resources, and experiment artifacts for SkillFabric. Code: https://github.com/zjunlp/SkillNet-Fabric Artifacts: https://huggingface.co/datasets/zjunlp/SkillNet-Fabric Related SkillNet paper: https://arxiv.org/abs/2603.04448 Repository contents Path Contents skills/ Skill corpus used to construct the released graphs data/ SkillRouter, SkillsBench, and AgentSkillOS… See the full description on the dataset page: https://huggingface.co/datasets/zjunlp/SkillNet-Fabric.

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Dataset Card

SkillNet-Fabric

This repository contains the released Skills and graphs, benchmark resources, and experiment artifacts for SkillFabric.

—Code: https://github.com/zjunlp/SkillNet-Fabric
—Artifacts: https://huggingface.co/datasets/zjunlp/SkillNet-Fabric
—Related SkillNet paper: https://arxiv.org/abs/2603.04448

Repository contents

Path	Contents
`skills/`	Skill corpus used to construct the released graphs
`data/`	SkillRouter, SkillsBench, and AgentSkillOS benchmark inputs
`graphs/`	`G_SR`, `G_SB`, `G_A53`, `G_A500`, `G_A1K`, and graph-build logs
`main_experiments/`	Runs, results, evaluator records, deliverables, and logs for the three main experiments
`analysis_experiments/`	Localization and ablation experiment artifacts
`artifact_index.json`	Bundle names, sizes, extraction targets, and checksums
`provenance.json`	Source checkout and release inventory

Experiments included

Experiment	Released artifacts
SkillRouter	SkillFabric routes, per-task scores, aggregate results, and runtime logs
SkillsBench	Two executors, 87 tasks, three trials, selected and runtime Skills, trajectories, verifier records, and deliverables
AgentSkillOS	Two executors, three Skill pools, task workspaces, generated frames, baseline artifacts, Bradley-Terry rankings, and runtime logs
Localization analysis	Routes, rankings, protocol, reports, and logs
AgentSkillOS ablation	Run outputs, rankings, reports, and logs

The experiment directories preserve the run names used on the experiment server.

Download

Install the SkillNet-Fabric repository, then run:

bash

skillfabric-repro download --repo-id zjunlp/SkillNet-Fabric --revision main --profile main

The command downloads the selected bundles and extracts them into experiments/artifacts/ using the directory layout expected by the reproduction code.

Sources and licenses

—SkillRouter benchmark and evaluation: https://github.com/zhengyanzhao1997/SkillRouter and https://huggingface.co/datasets/pipizhao/SkillRouter-Eval-Core
—SkillRouter registry Skills: majiayu000/claude-skill-registry, pinned by the released layer manifest
—SkillsBench v1.1 tasks and evaluator: https://github.com/benchflow-ai/skillsbench
—AgentSkillOS tasks and evaluator: https://arxiv.org/abs/2603.02176
—Redistributed Skill packages: mixed-source snapshot; layer manifests record the source datasets and pinned upstream revisions

The repository LICENSE covers SkillFabric code. Released benchmark resources and redistributed Skills retain their applicable upstream terms. Layer manifests preserve the available source and license metadata.

Citation

Until the SkillFabric paper is public, cite the related SkillNet paper:

bibtex

@article{liang2026skillnet,
  title   = {SkillNet: Create, Evaluate, and Connect AI Skills},
  author  = {Liang, Yuan and Zhong, Ruobin and Xu, Haoming and Jiang, Chen and others},
  journal = {arXiv preprint arXiv:2603.04448},
  year    = {2026}
}