corezoid-gitcall

Solid

Corezoid Git Call node specialist — run custom code (Python, Go, Java, PHP, JavaScript, Clojure, Lisp, Prolog, or a custom Dockerfile) as a step inside a process. Use when the user needs logic that plain nodes cannot do: parsing files, using external libraries, cryptography, building email/attachments, or any custom runtime. Activate on "git call", "gitcall", "run my code", "parse a file", "use a library", "custom code node", "python/go/php in a process", or "why does push-process hang on git_call". Load this skill only when the task is actually about git_call — it is not needed for ordinary flows.

Code & Development 72 stars 25 forks Updated 1 weeks ago MIT

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Quality Score: 83/100

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Frontmatter 20%
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50
License 10%
100
Description 5%
100

Skill Content

# Corezoid Git Call A Git Call node runs your code (9 built-in languages, or a custom Docker image) in an isolated container as one step of a process. Each task is delivered to a `handle` function over JSON-RPC 2.0; the value you return becomes the payload of the next node. ## 1. When to use it — the selection rule Git Call is one of the most constrained nodes on the platform. Use it **only** when a step needs a capability that native nodes and a Code (`api_code`) node cannot provide — parsing a file, an external library, cryptography, or a custom runtime — **and** the work finishes comfortably within the observed runtime budget. For everything else use the native alternative. "One code block is easier to write" is not one of those capabilities. ### Runtime and resource constraints - **Observed execution deadline:** hosted sandbox measurements terminated the handler at approximately 60 s, wall-clock from the moment the task entered the node. Keep handler work comfortably below 50 s rather than relying on the exact cutoff, which is an observed platform behavior rather than a portable contract. On overrun the task was killed and routed to the error path (`__conveyor_git_call_return_type_tag__ = git_call_executing_error`, description `usercode: timeout`). In those measurements, inline cold and warm runs ended at the same point; custom images may have different startup overhead. - **Default resource allocation:** 50 MB RAM and 0.1 CPU from a pool shared by Gi...

Details

Author
corezoid
Repository
corezoid/corezoid-ai-plugin
Created
4 months ago
Last Updated
1 weeks ago
Language
Go
License
MIT

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Bundled in these plugins

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