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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](https://github.com/zjunlp/SkillNet-Fabric), 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}
}
```
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