SkillCorpus — security grade SAFE, quality 68/100

Security audit verdict: SAFE · quality 68/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by EverMind-AI · Agent Tool · ★ 675

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is SkillCorpus safe to install? View the security audit →

About SkillCorpus

English · 简体中文 </di

agent-memoryagent-skillsai-agentsbenchmarkdatasetdeepseek-harnessdshdsh-pluginembeddingshugginface

Quick Facts

Stars675
Forks112
LanguagePython
CategoryAgent Tool
LicenseApache-2.0
Quality Score67.9835056159233/100
Open Issues4
Last Updated2026-10-01
Created2026-08-11
Platformspython
Est. Tokens~18k

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Frequently Asked Questions

What is SkillCorpus?

SkillCorpus is Open-source infrastructure that turns scattered SKILL.md files into curated, retrieval-ready agent-skill corpora—with retrieval and evaluation tooling included.. It is categorized as a Agent Tool with 675 GitHub stars.

What programming language is SkillCorpus written in?

SkillCorpus is primarily written in Python. It covers topics such as agent-memory, agent-skills, ai-agents.

How do I install or use SkillCorpus?

You can find installation instructions and usage details in the SkillCorpus GitHub repository at github.com/EverMind-AI/SkillCorpus. The project has 675 stars and 112 forks, indicating an active community.

What license does SkillCorpus use?

SkillCorpus is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to SkillCorpus?

The top alternatives to SkillCorpus on Agent Skills Hub include memsearch, memtrace-public, wesight. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse Agent Tool tools