Maintainer of this skill?
Automated security scan — not a certification.
Share and discover coding agent resources across your team. Self-hosted, Apache 2.0, works with Claude Code, Kiro, Cursor, Codex, Pi and more.
# Add to your Claude Code skills
git clone https://github.com/AgenticResourceRegistry/AgenticResourceRegistryGuides for using ai agents skills like AgenticResourceRegistry.
Last scanned: 10/30/2026
{
"issues": [
{
"file": "README.md",
"line": 105,
"type": "remote-install",
"message": "Install command (remote install script piped to a shell — review the source before running): \"curl -fsSL https://raw.githubusercontent.com/AgenticResourceRegistry/AgenticReso\"",
"severity": "low"
}
],
"status": "PASSED",
"scannedAt": "2026-10-30T10:43:28.322Z",
"npmAuditRan": true,
"pipAuditRan": true,
"promptInjectionRan": true
}See how AgenticResourceRegistry compares with popular alternatives.
AgenticResourceRegistry is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by AgenticResourceRegistry. Share and discover coding agent resources across your team. Self-hosted, Apache 2.0, works with Claude Code, Kiro, Cursor, Codex, Pi and more. It has 4,534 GitHub stars.
Yes. AgenticResourceRegistry passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/AgenticResourceRegistry/AgenticResourceRegistry" and add it to your Claude Code skills directory (see the Installation section above).
AgenticResourceRegistry is primarily written in Python. It is open-source under AgenticResourceRegistry on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh AgenticResourceRegistry against similar tools.
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⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
Automated security scan — not a certification.
See comparison
A self-hosted, Apache 2.0 registry for sharing coding agent resources. Formerly Observal.
Set up once, and let your coding agent use Agentic Resource Registry through observal-cli.
If you find Agentic Resource Registry useful, please consider giving it a star. It helps others discover the project and keeps development going.
Formerly Observal. Same code, same maintainers, same Apache 2.0 license. The CLI is still
observal, and oldObserval/Observallinks redirect here.
Agentic Resource Registry is a self-hosted, Apache 2.0 registry for sharing coding agent resources across your organization. Every tech-forward organization today creates internal Skills, Agents files, MCP clients. Though the creation of these coding agent resources has been prolific, peer adoption and usage is sparse. Coding agent users today end up creating their own version of such resouces without reusing existing packages.
The cause is largely due to two problems:
Lack of a discoverability layer
Organizations store their coding agent resources in siloed git repositories with little to no documentation. Users are not able to locate existing coding agent resources and this results in multiple developers creating the same/similar resources again.
Missing feedback loop
Any software where usage patterns are not understood and the principle of user-centric development is violated tends to fade out. Such is the problem with development of MCP clients, Skills and Agent files. Authors publish and maintain these resources with little visibility into how they're actually used. Additionally, Coding agent failures don't trigger static error codes: they hallucinate or provide subtly incorrect answers. This leaves users clueless about what went wrong compounding the feedback problem.
Agentic Resource Registry solves this by providing a centralized discovery layer for coding agent resources alongside useful insights into usage patterns. It turns silent failures into actionable feedback, ensuring internal resources are continuously optimized for the people using them.
Agentic Resource Registry supports Claude Code, Cursor, Kiro, Pi, Copilot, Codex, OpenCode, and other tools.
