Chisle
The coding-agent plugin that bills 52% of a bare model across 20 live tasks. Terse persona + tool-output compressor + context diet.
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Observal is self-hosted registry for your coding agent extensions with a built in insight engine. Setup Observal, define the scope and share your Skills, MCPs and Agents with your peers.
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開発ツールPython · TypeScriptGitHub @AgenticResourceRegistryオンライン所有者未確認
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Observal is the control plane and system of record for internal AI components
If you find Observal useful, please consider giving it a star. It helps others discover the project and keeps development going.Read the full README ↗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.
This is the beginning of the README. Read the rest at the original. Read the full README ↗