opennexum
Contract-driven multi-agent orchestration with ACP. Contract sync, webhook + dispatch-queue dual dispatch, cross-review, auto-retry, batch progress tracking.
Best use case
opennexum is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Contract-driven multi-agent orchestration with ACP. Contract sync, webhook + dispatch-queue dual dispatch, cross-review, auto-retry, batch progress tracking.
Teams using opennexum should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/opennexum/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How opennexum Compares
| Feature / Agent | opennexum | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Contract-driven multi-agent orchestration with ACP. Contract sync, webhook + dispatch-queue dual dispatch, cross-review, auto-retry, batch progress tracking.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# OpenNexum
Contract-driven coding agent orchestration via OpenClaw ACP.
## When to use
- Coordinating multiple AI coding agents (Codex + Claude)
- Running generator/evaluator pairs with automatic retry and escalation
- Parallel task execution with independent ACP sessions
- Tracking task progress with OpenClaw notifications
## Architecture
### Dispatch (dual-path)
1. **Webhook (real-time)**: `nexum callback` → POST `/hooks/agent` → orchestrator wakes up immediately
2. **Dispatch Queue (fallback)**: `nexum callback` → writes `nexum/dispatch-queue.jsonl` → heartbeat processes within 10min
### Cross-review
- codex-gen → claude-eval, claude-gen → codex-eval
### Auto-routing
- `generator: auto` in Contract YAML → system selects agent by task type
### Batch progress
- `nexum status` shows current batch progress + overall progress
## Agent Naming: `<model>-<role>-<number>`
- codex-gen-01~03: backend/API code
- claude-gen-01~02: user-facing WebUI/docs
- codex-eval-01 / claude-eval-01: cross-review
- claude-plan-01: architecture (opus)
## Key CLI Commands
```bash
nexum init [--project <dir>] [--yes]
nexum sync [taskId] [--project <dir>]
nexum spawn <taskId> [--project <dir>]
nexum track <taskId> <sessionKey>
nexum callback <taskId> [--role evaluator] [--model gpt-5.4] [--input-tokens N] [--output-tokens N]
nexum eval <taskId>
nexum complete <taskId> <pass|fail|escalated>
nexum status [--project <dir>]
nexum archive [--project <dir>]
nexum health [--project <dir>]
nexum retry <taskId> --force
```
## Contract YAML
```yaml
id: TASK-001
name: "implement feature X"
batch: batch-1
agent:
generator: codex-gen-01
evaluator: claude-eval-01
scope:
files:
- src/feature.ts
deliverables:
- path: src/feature.ts
description: "..."
eval_strategy:
type: review
criteria:
- id: C1
desc: "..."
weight: 2
max_iterations: 3
```
## Callback Protocol (injected into AGENTS.md via nexum init)
`nexum init` writes the callback protocol into `AGENTS.md` as the source of truth. If a project only has `CLAUDE.md`, Nexum will seed `AGENTS.md` from it and update `AGENTS.md` going forward.
After completing a task, run:
```bash
nexum callback <taskId> --project <projectDir> \
--model gpt-5.4 \
--input-tokens <n> \
--output-tokens <n>
```
## Git Convention
- Push directly to `main`, revert if needed
- English Conventional Commits: `feat(scope): TASK-ID: description`Related Skills
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