jarvis-core

Orchestrate multi-step agent tasks with policy gates and DAG planning.

6|1|Updated Apr 7, 2026
One-click install
npx skills add https://github.com/kmshihab7878/claude-code-setup --skill jarvis-core
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: jarvis-core
Source: https://github.com/kmshihab7878/claude-code-setup/tree/main/skills/jarvis-core
Command: npx skills add https://github.com/kmshihab7878/claude-code-setup --skill jarvis-core

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinate complex, multi-step objectives across agents while enforcing governance, safety, and accountability so that cross-system work proceeds without unauthorized side effects or policy violations.

Core Features & Use Cases

  • Ten-stage governed pipeline: Input sanitization, intent parsing, dual policy gates, DAG planning, delegation, governed execution, reflection, outcome tracking, and world-state updates.
  • Policy-first execution: Per-intent and per-step policy gates (ALLOW / REVIEW / ESCALATE / BLOCK) with least-privilege checks and approval batching for higher-risk actions.
  • Delegation and auditing: Automated agent selection, delegation contracts, sandboxed execution modes, side-effect recording, and an audit trail that feeds a closed-loop quality scoring system.
  • Use Case: Orchestrate a cross-team production deployment that requires DAG planning, staged approvals, parallel worker execution, and post-run compliance evidence.

Quick Start

Orchestrate a multi-step deployment across agents, enforce policy gates, and return a validated execution plan.

Frequently Asked Questions about jarvis-core

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I enforce policy gates during multi-agent orchestration?

Multi-agent orchestration enforces policy gates by applying per-intent and per-step validation checks, categorizing actions as ALLOW, REVIEW, ESCALATE, or BLOCK before executing delegated tasks. This ensures cross-system workflows proceed without unauthorized side effects.

What is DAG planning for cross-system task delegation?

DAG planning structures complex cross-system tasks into a directed acyclic graph, enabling automated agent selection and parallel worker execution. It maps dependencies so multi-step objectives proceed safely through staged approvals and governed execution.

How do I maintain an audit trail for automated code deployments?

Maintaining an audit trail for code deployments requires automated side-effect recording during sandboxed execution. The system logs delegated actions and feeds them into a closed-loop quality scoring system to provide post-run compliance evidence.

Can I use governed orchestration for incident response workflows?

Yes, governed orchestration applies to incident response workflows by providing a ten-stage pipeline that includes intent parsing, dual policy validation, delegation contracts, and reflection scoring to ensure safe, accountable cross-system execution.

What is the best way to prevent unauthorized side effects in multi-agent systems?

Preventing unauthorized side effects requires least-privilege checks and approval batching for higher-risk actions. Sandboxed execution modes and per-step policy gates restrict agents to explicitly authorized operations during task delegation.

When do I need reflection scoring and world-state persistence in orchestration pipelines?

Reflection scoring and world-state persistence are needed when orchestrating multi-step objectives that require outcome tracking and accountability. They capture execution results to evaluate delegated agent performance and maintain a consistent operational state.