by soba-labs · Agent Tool · ★ 102
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
A collection of agent-optimized LangChain, LangGraph and LangSmith skills for AI coding assistants.
| Stars | 102 |
| Forks | 15 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 55.9979038017432/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-17 |
| Created | 2026-01-27 |
| Platforms | python |
| Est. Tokens | ~13k |
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langchain-agent-skills is A collection of agent-optimized LangChain, LangGraph and LangSmith skills for AI coding assistants.. It is categorized as a Agent Tool with 102 GitHub stars.
langchain-agent-skills is primarily written in Python.
You can find installation instructions and usage details in the langchain-agent-skills GitHub repository at github.com/soba-labs/langchain-agent-skills. The project has 102 stars and 15 forks, indicating an active community.
langchain-agent-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to langchain-agent-skills on Agent Skills Hub include tutor-skills, repren. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: