metadata
pretty_name: 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 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:
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:
@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}
}