AMOA Remote Agent Coordinator

Trust Score 77/100

Coordinate and delegate tasks to remote AI agents via AI Maestro (AMP), with ACKs, monitoring loops, and verification before approvals.

triggers:delegate to agentremote agentamoaai maestroagent coordinator

GitHub SKILL.md

What it does

This skill provides structured orchestration for delegating tasks to remote AI agents via AI Maestro (AMP). It guides sending tasks with acknowledgement blocks, monitoring agent progress, enforcing verification loops, and producing ACK/progress reports. It's designed for machine-to-machine coordination rather than human tasking.

When to use it

Use when you need to distribute work to registered remote agents, require ACK confirmation, or want automated progress monitoring and multi-loop verification before merging or approving changes (e.g., delegating bug fixes or CI tasks).

What's included

Scripts: repository contains scripts (has_scripts=true) to integrate with AMP and coordinate tasks.
References: multiple references and protocol docs under references/ describing ACK formats, verification-loop procedures, and error handling.
Instructions: checklist-style operating procedure: verify AMP and agents, prepare task with ACK block and criteria, send via AMP, wait for ACK (5 min), monitor every 10–15 minutes, enforce four verification loops, then approve or reject.

Compatible agents

Designed for orchestration systems and agents that understand AI Maestro (AMP) messaging patterns and can run Python-based integrations (agents using AMP, Python 3.9+ toolchains).

Audit Summary

AMOA Remote Agent Coordinator skill for delegating tasks to remote AI agents via AI Maestro (AMP). Contains 11 scripts covering orchestrator init, agent registration, document download/search, delivery protocol enforcement, skill generation, LSP installation, skill validation, and toolchain verification. Scripts are well-structured CLI tools with argparse interfaces. Three scripts ran successfully; the rest require mandatory arguments (expected behavior for CLI tools). Two download scripts use curl subprocess calls without checksum verification on downloaded content.

Watch Out

Requires AI Maestro (AMP) infrastructure to be useful — cannot operate standalone
Two separate download scripts (amoa_orchestrator_download.py and amoa_skill_download.py) with overlapping functionality
Download scripts use curl without checksum verification of downloaded content
enforce_delivery_protocol.py stores ACK tracking state in .aimaestro/state/ under agent dir — needs AIMAESTRO_AGENT_DIR or CLAUDE_PROJECT_DIR env var
Most scripts require subcommands and arguments — no default 'dry run' mode

Notes

Well-engineered skill for a niche ecosystem (AI Maestro). Clean code, good structure, comprehensive references. Security concern is limited to unverified curl downloads. Low usefulness score reflects narrow audience — only useful within AI Maestro/AMP deployments.

Information

Repository: ai-maestro-orchestrator-agent
Stars: 7

Trust Score

Overall77

Security82

Code Quality73

Architecture71

Usefulness32

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