Skill Constellations: Tracing the Supply Chain of Agent Skills on GitHub

Hugging Face Daily Papers Papers

Summary

论文首次基于 GitHub 全量 SKILL.md 的 git 历史构建了 AI 代理技能的复制网络,追踪 219 万次技能采用,发现少数仓库是几乎所有复制的源头、安全修复难以传播,并提出基于复制模型的审计排序方法以识别高风险技能仓库。

Agent skills are SKILL.md instructions and scripts that AI coding agents such as Claude Code and Codex run with the permissions of their user. Developers share skills by copying them between repositories, which makes them a software supply chain without a registry, versions or provenance. The origin of a copied skill, the reach of a security fix and the repositories that warrant review are therefore unknown. Studies that record which repositories hold a skill at a single point in time cannot reveal who copied it from whom. We contribute the first dated copy network of agent skills, built from the git history of every SKILL.md in GitSkills and covering 2,193,119 skill adoptions across GitHub, together with an interactive viewer. A few repositories are the source of almost all copies, and GitHub stars do not identify them. Skill copies almost never change with their source, and a fix at the source therefore rarely reaches them. We fit a model of which repositories others copy from and use it to rank repositories for audit. Reviewing the 100 repositories it ranks highest prevents 14.9% of later adoptions of high-risk skills, against 0.5% for the 100 most starred, which gives security engineers a short list to check before a skill spreads. Platforms should therefore distribute versioned references rather than copies. Project Website: https://fahdseddik.github.io/Skill-Constellations/
Original Article
View Cached Full Text

Cached at: 10/09/26, 10:23 PM

Paper page - Skill Constellations: Tracing the Supply Chain of Agent Skills on GitHub

Source: https://huggingface.co/papers/2610.11169

Abstract

AgentskillsareSKILL.mdinstructionsandscriptsthatAIcodingagentssuchasClaudeCodeandCodexrunwiththepermissionsoftheiruser.Developersshareskillsbycopyingthembetweenrepositories,whichmakesthemasoftwaresupplychainwithoutaregistry,versionsorprovenance.Theoriginofacopiedskill,thereachofasecurityfixandtherepositoriesthatwarrantreviewarethereforeunknown.Studiesthatrecordwhichrepositoriesholdaskillatasinglepointintimecannotrevealwhocopieditfromwhom.Wecontributethefirstdatedcopynetworkofagentskills,builtfromthegithistoryofeverySKILL.mdinGitSkillsandcovering2,193,119skilladoptionsacrossGitHub,togetherwithaninteractiveviewer.Afewrepositoriesarethesourceofalmostallcopies,andGitHubstarsdonotidentifythem.Skillcopiesalmostneverchangewiththeirsource,andafixatthesourcethereforerarelyreachesthem.Wefitamodelofwhichrepositoriesotherscopyfromanduseittorankrepositoriesforaudit.Reviewingthe100repositoriesitrankshighestprevents14.9%oflateradoptionsofhigh-riskskills,against0.5%forthe100moststarred,whichgivessecurityengineersashortlisttocheckbeforeaskillspreads.Platformsshouldthereforedistributeversionedreferencesratherthancopies.ProjectWebsite:https://fahdseddik.github.io/Skill-Constellations/

View arXiv pageView PDFProject pageGitHub0Add to collection

Get this paper in your agent:

hf papers read 2610\.11169

Don’t have the latest CLI?curl \-LsSf https://hf\.co/cli/install\.sh \| bash

Models citing this paper0

No model linking this paper

Cite arxiv.org/abs/2610.11169 in a model README.md to link it from this page.

Datasets citing this paper1

#### FahdSeddik/skill-constellations Viewer• Updatedabout 4 hours ago • 20.5M • 1

Spaces citing this paper0

No Space linking this paper

Cite arxiv.org/abs/2610.11169 in a Space README.md to link it from this page.

Collections including this paper0

No Collection including this paper

Add this paper to acollectionto link it from this page.

Similar Articles

@eastweb3eth: Skill Store — This library might put all Skill-sharing bloggers out of work. As large models become more and more playable, the variety of Skills for different functions is dazzling, but many friends either have no way to search for the Skill they want, or don't know which Skill is more worth installing, costing a huge amount of time to try. No longer need to browse AI bloggers' recommendation lists.

X AI KOLs Timeline

The article introduces a GitHub repository called 'Skill Store', which curates and automatically updates AI Agent skill packages, aiming to help users efficiently discover and install high-quality skills.

@laobaishare: I went through the batch of skills with the highest star counts on GitHub. The most impressive one has 240k stars, higher than many popular frameworks. Sorted by stars from high to low, all with links attached. Grab what you need. 1|superpowers · ~240k stars. Equip AI with a complete set of senior engineer work habits: think before acting, write your own tests, debug yourself. The current ceiling. http://github.com/obra/superpowers…

X AI KOLs Timeline

A curated list of the most popular AI programming skill repositories on GitHub, sorted by star count, including Superpowers, ECC, mattpocock/skills, etc., aimed at helping developers configure skill files to boost AI coding assistant efficiency.

Half of GitHub trending AI repos are "skills" packs but the shape varies 1000x. The actual primitive is doing something real.

Reddit r/AI_Agents

The GitHub trending list is dominated by "skills" packs that vary 1000x in scope but all use Anthropic's SKILL.md format, which is becoming a real distribution primitive for AI agent capabilities. The article analyzes the implications for builders, including portability challenges, the split between workflow enforcement and capability extension, and the low moat for skills packs.