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Corezoid Gitcall

Organization
corezoid
corezoid-gitcall

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.

Overview

Publishercorezoid
Repositorycorezoid-ai-plugin
Skill namecorezoid-gitcall
Stars
74
Forks
26
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by corezoid on GitHub. Read the source before you install it.

Installation

Install the Corezoid Gitcall AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/corezoid/corezoid-ai-plugin/tree/main/plugins/corezoid/skills/corezoid-gitcall
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/corezoid/corezoid-ai-plugin.git /tmp/corezoid-ai-plugin
mkdir -p .claude/skills
cp -r /tmp/corezoid-ai-plugin/plugins/corezoid/skills/corezoid-gitcall .claude/skills/corezoid-gitcall
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Corezoid Gitcall in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Corezoid Gitcall on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Corezoid Gitcall is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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 Git Call nodes. These are defaults, not immutable hard limits: a super-admin can change the allocation. Shared capacity can still cause contention under concurrency; one live concurrent probe observed a starved task.
  • No persistent local storage: runtime-local files, including writable /tmp, are ephemeral and must not be used as state between runs.
  • Build-time network dependency: Git-repo mode and dependency installation need network access. Runtime network access is required only when the handler itself calls an external service.

For work that waits, polls, or retries over time, model progress as process state transitions (condition+delay) or resume through a callback. Those patterns do not hold one Git Call handler open, but they remain subject to normal platform/process limits.

Decision gate — before adding a Git Call, confirm ALL of these

  1. It genuinely cannot be done with native nodes (set_param, condition, delay, api/api_rpc, api_code, db_call, api_sum, api_copy).
  2. It cannot be done in a Code (api_code) node (JS with the platform's built-ins) — try this first for any transform/parse/compute.
  3. It comfortably finishes below the observed ~50 s working budget and the surrounding flow does not require tighter, predictable latency under load.
  4. It is not a long-running loop, poll, or wait — those belong in process state transitions (condition+delay) or a callback, never in one Git Call invocation.
  5. It fits the configured resource allocation and does not need persistent local state.

If any answer is "no", do not use Git Call.

Use Git Call ONLY for (native nodes truly cannot):

  • Parse a file (download a URL and read a 1C .1CD, XML, PDF, QR, image, …).
  • Use an external library the platform lacks (crypto, moment, pandas, okhttp, …).
  • Cryptography / bespoke binary formats the platform can't express.
  • A custom runtime (custom Dockerfile) for something none of the above covers.

NEVER use Git Call for:

  • Work that might approach the observed ~50 s budget, or a latency-critical path that requires predictable execution time under concurrency.
  • Long-running work — loops, polling, ret/backoff, waiting on an external system (→ process state with condition+delay, or a callback).
  • Plain HTTP calls (→ api/api_rpc).
  • Simple transforms, JSON shaping, math, string work (→ api_code).
  • Large-data / high-memory processing that does not fit the configured shared resource allocation.
AspectNative nodes / api_codeGit Call
Runtime modelPlatform node executionContainer handler; ~60 s deadline observed in hosted tests
Warm-upNone for ordinary native nodesContainer build + dispatch
Memory / CPUPlatform-managed50 MB / 0.1 CPU defaults from a shared, configurable pool
ConcurrencyNode-specificShared capacity can introduce contention
State/storageTask/process stateNo persistent local storage; /tmp is ephemeral
External depsBuilt-in capabilitiesExternal libraries and custom runtimes supported

Selection rule: default to native nodes + api_code. Use Git Call only when a file to parse, an external library, cryptography, or a custom runtime leaves no native way to do it, and keep each invocation short, bounded, and within the configured resource allocation.

2. Supported languages and runtimes

LanguageVersionPackage managerOS
JavaScriptnode v20yarn, npmalpine 3.17
Gov1.23go modalpine 3.20
Pythonv3.12pipalpine 3.17
Javav22gradlealpine 3.15
PHPv8.3composer 2.5.4alpine 3.17
Clojurev1.11.1lein 2.10alpine 3.17
Lispv2.4.8roswellUbuntu 18.04
Prologswipl v9.2.7swipldebian bullseye
Dockerfileany—your own image

Git Call requests originate from 54.171.15.37, 108.128.68.222, 63.33.226.230. Whitelist these if a private repo or resource blocks access.

3. Handler contract (per language)

The handler receives the task payload and returns the next payload (or throws to produce an error). In Git-Repo mode the entry file is usercode.<ext>.

python
# python — usercode.py
def handle(data):
    data['result'] = 'ok'
    return data
javascript
// js — usercode.js  (CommonJS; for ESM use import/export default, .mjs, or "type":"module")
module.exports = (data) => { data.result = 'ok'; return data; };
go
// go — usercode.go
package main
import ("context"; "github.com/corezoid/gitcall-go-runner/gitcall")
func usercode(_ context.Context, data map[string]interface{}) error { data["result"]="ok"; return nil }
func main() { gitcall.Handle(usercode) }
php
// php — usercode.php
<?php
function handle($data) { $data['result']="ok"; return $data; }
java
// java — Usercode.java  (fully-qualified name com.corezoid.usercode.Usercode is mandatory)
package com.corezoid.usercode;
import com.corezoid.gitcall.runner.api.UsercodeHandler;
import java.util.Map;
public class Usercode implements UsercodeHandler<Map<String,String>,Map<String,String>> {
  public Map<String,String> handle(Map<String,String> data) throws Exception { data.put("result","ok"); return data; }
}
prolog
% prolog — usercode.pl
:- module(usercode, [handle/2]).
handle(Data, Result) :- put_dict(result, Data, "ok", Result).
lisp
;; lisp — usercode.lisp
(defpackage #:usercode (:use #:cl) (:export :handle))
(in-package #:usercode)
(defun handle (data) (setf (gethash 'result data) 'ok) data)
clojure
;; clojure — usercode.clj
(ns usercode.usercode)
(defn handle [data] (assoc data :result "ok"))

Runnable examples (hello_world, http_request, user_error, dependency demos) for every language: https://github.com/corezoid/gitcall-examples.

4. Two modes

  • Code editor (inline) — paste the code straight into the node.
  • Git Repo — set the repo URL, the branch/tag/commit, the path (leave empty if the entry file is in the repo root), and the entry file. Use an SSH key on the node for private repos.

5. Dependencies (Build command)

Install dependencies with a Build command (Code editor) or a manifest file (Git Repo):

LanguageBuild command (Code editor)Manifest (Git Repo)
JSnpm install crypto-js@4.1.1 moment@2.29.4package.json
Pythonpip install 'pycryptodomex==3.20'requirements.txt
Go(latest versions resolved automatically)go.mod
Javaa gradle commandbuild.gradle (+ ./gradlew build)
PHPcomposer require guzzlehttp/guzzle:^7.0composer.json
Clojurelein change :dependencies conj '[...]' && lein installproject.clj
Lispnone — (ql:quickload '(:cl-mustache) :silent t) in code—
Prologswipl -g "pack_install(matrix,[interactive(false)])."(same command)

No dependencies → empty Build command.

6. Deploy with the MCP

push-process deploys Git Call nodes automatically (as of the git_call build support in this plugin). Just author the node like any other and push:

  1. Add a node whose logic type is git_call, set lang and either code (inline) or repo/commit/path/script (Git Repo).
  2. push-process — it uploads the source, builds the container on the build service, and commits. Every runtime (JavaScript included) is built before the commit; JavaScript just builds fastest (a few seconds) since it installs no compiler toolchain.

Builds take ~5 s (JavaScript) to ~20–120 s (compiled runtimes, first build with dependency install), then build from cache. run-task reports the task settling on a non-final node while the build runs — that is expected; the result merges into the task payload asynchronously.

The build endpoint defaults to wss://ws.<domain>/api/1/sock_json, or to the API host itself when that ws. host does not resolve (common on self-hosted installs). If a push fails with build websocket dial …, the error names the address it tried. Ask the user for the installation's socket address and set "ws_url" in the workspace's entry of ~/.corezoid/config.json: it is read on every push, so there's no need to restart the server. The COREZOID_WS_URL environment variable overrides both. Do not retry the push unchanged or guess hostnames.

What push-process does under the hood

The container build runs on Corezoid's build service and is driven over a WebSocket (wss://ws.<host>/api/1/sock_json), authenticated with the same Simulator access token as the HTTP API. push-process opens the socket after uploading the source, sends a monitor_show/function_build/status:"on" frame to start the build, keeps the socket alive (client sends "0", server answers "1"), waits for log:{"type":"done"}, then commits. You do not need to do any of this by hand — it is only useful to know when debugging a build.

7. JSON-RPC 2.0 protocol

Request to your code: {"jsonrpc":"2.0","method":"handle","id":"…","params":{…}}. Success: {"jsonrpc":"2.0","id":"…","result":{…}}. Error: {"jsonrpc":"2.0","id":"…","error":{"code":…,"message":"…"}}.

For a custom Dockerfile, run an HTTP server on $GIT_CALL_PORT, handle POST requests per JSON-RPC 2.0, run as user 501:501, and treat the container as read-only (/tmp is writable).

8. Errors and troubleshooting

On failure the task carries these fields (routed to the auxiliary condition output): __conveyor_git_call_return_type_error__ (Hardware = system, retry; Software = code/settings), __conveyor_git_call_return_type_tag__ (git_call_return_format_error, git_call_executing_error, git_call_is_not_supported = the node is v1, use v2, code_return_size_overflow, git_call_fatal_error), and __conveyor_git_call_return_type_description__.

Common issues:

  • push-process hangs / no response from server — an older plugin without git_call build support. Upgrade the plugin.
  • source has to be built — the container was not built before commit (should not happen via push-process; if authoring by hand, build first).
  • usercode module has no handle function — the entry handle is missing, or a stale build instance — rebuild.
  • Build fails on root access — Corezoid forbids root; keep to allowed dirs.
  • No internet — Git Call needs network to fetch the repo/dependencies.

9. Resources

Each container defaults to 100 millicpu (0.1 CPU) and 50 MB RAM from a resource pool shared by Git Call nodes. The exact scope and allocation are deployment-specific; ask a super-admin to inspect or adjust them before relying on Git Call for heavier or highly concurrent workloads.

Reference

Frequently asked questions

What does the Corezoid Gitcall AI skill do?

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 ordinar...

Why use Corezoid Gitcall on TypingMind?

Because you install it once and use it with any model. Corezoid Gitcall is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Corezoid Gitcall in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/corezoid/corezoid-ai-plugin/tree/main/plugins/corezoid/skills/corezoid-gitcall. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Corezoid Gitcall?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Corezoid Gitcall?

As many as you like. As long as a model supports skills, you can use Corezoid Gitcall with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Corezoid Gitcall AI skill free?

Yes. It is published on GitHub by corezoid under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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