Edvisage Agent Connect

Multi-agent coordination for AI agents — basic handoff protocols, shared context management, and team task delegation.

Security Scan

The skill is an instruction-only set of templates and norms for multi-agent coordination and its declared requirements and files align with that purpose, but the runtime instructions are high-level and leave implementation details (where to store/share context, who the owner is, where logs go) up to the agent, so review how you will apply it before enabling autonomous agents.

Purpose & Capability

Name, description, and included files (SKILL.md, README, package.json) consistently present multi-agent handoff, shared context, and delegation templates. There are no extra binaries, environment variables, or unrelated dependencies requested.

Instruction Scope

SKILL.md provides templates and behavioral norms (handoff format, shared context file structure, delegation checks, conflict resolution). These are high-level guidelines and do not include commands, file paths, network endpoints, or automated syncing. That makes the scope narrow but also ambiguous — the agent (or implementer) must decide where to store the shared context, how to confirm receipts, and where to log conflicts.

Install Mechanism

Instruction-only skill with no install spec and no code files to execute. Lowest-risk install profile: nothing is downloaded or written by a packaged installer.

Credentials

No environment variables, credentials, or config paths are requested. The guidance does not instruct access to unrelated secrets or system resources.

Persistence & Privilege

Skill is not always-enabled and does not request elevated or persistent platform privileges. It does not modify other skills or system-wide settings; it's purely a set of behavioral templates.

Assessment

This skill is essentially a handbook of templates for multi-agent coordination — there is no code and it doesn't request any secrets, so it's internally coherent. Before installing or enabling agents to use it autonomously: 1) decide and lock down where shared context and logs will be stored (local sandboxed storage vs. networked endpoint) and who can read them; 2) ensure agents do not place secrets or PII into shared context files; 3) define who the 'owner' or escalation contact is so agents don't arbitrarily transmit data; 4) test the templates in a restricted environment to confirm agents follow your storage/communication policies; and 5) be cautious about enabling broad autonomous use if your agents can reach external networks — the skill's vague "confirm receipt" and "log" instructions could be implemented in many ways. If you want stronger guarantees (automatic encryption, access control, vetted endpoints), this skill in its current form does not provide them.

agent-connect — Multi-Agent Coordination

By Edvisage Global — the agent safety company

Turn your agents into a team, not a collection of solo bots. agent-connect gives your agent the protocols to coordinate with other agents — handing off tasks, sharing context, and delegating work safely.

What This Skill Does

When installed, your agent gains structured coordination capability — knowing how to work with other agents, delegate tasks, share context, and maintain accountability across a multi-agent system.

Core Capabilities

1. Agent Handoff Protocol

When passing work to another agent, follow this structure:

## Task Handoff

### From: [your agent name]
### To: [receiving agent name/role]
### Timestamp: [ISO 8601]

### Task Description
[Clear, specific description of what needs to be done]

### Context Provided
[All relevant context the receiving agent needs]

### Expected Output
[What you need back — format, content, deadline]

### Constraints
- [Any limitations or rules]
- [Budget/cost limits if applicable]
- [Time constraints]

### Success Criteria
[How to know the task was completed correctly]

### Return Protocol
[How and where to deliver the result]

2. Shared Context Management

When working in a multi-agent system, maintain a shared context file:

## Shared Context — [Team/Project Name]
Last updated: [timestamp] by [agent name]

### Active Agents
| Agent | Role | Status | Current Task |
|-------|------|--------|--------------|

### Shared Knowledge
- [Key facts all agents should know]
- [Decisions that have been made]
- [Constraints that apply to everyone]

### Task Queue
| Task | Assigned To | Status | Deadline |
|------|------------|--------|----------|

### Communication Log
| Time | From | To | Message |
|------|------|-----|---------|

3. Task Delegation Framework

Before delegating, assess:

1. Can I do this myself? (Don't delegate what you can handle efficiently)
2. Does the other agent have the right skills? (Check their capabilities)
3. Is the context transferable? (Can I explain this clearly enough?)
4. Is there a cost benefit? (Cheaper model for simpler subtasks)
5. What's the risk? (What happens if the delegated task fails?)

Delegation format:

## Delegated Task
- Task: [description]
- Reason for delegation: [why another agent is better suited]
- Assigned to: [agent]
- Priority: [low / medium / high / critical]
- Deadline: [if applicable]
- Fallback: [what to do if the task fails]

4. Team Communication Norms

Rules for multi-agent communication:

• Be explicit: Never assume another agent knows your context
• Be structured: Use consistent formats for all handoffs
• Be verified: Confirm receipt of delegated tasks
• Be accountable: Report outcomes of delegated tasks back to the delegator
• Be minimal: Share only the context needed, not your entire memory

5. Basic Conflict Resolution

When agents disagree or produce conflicting outputs:

1. Identify the conflict explicitly
2. Check which agent has more relevant context
3. Check which output better matches the original objective
4. If unclear, escalate to the owner with both options
5. Log the conflict and resolution for future reference

Limitations (Free Version)

• Basic handoff templates (no role-based routing)
• Manual context sharing (no automated sync)
• Simple delegation (no capability matching)
• No trust verification between agents
• No performance tracking across agent teams
• No workload balancing

Want role-based routing, automated context sync, capability matching, and more? → Upgrade to agent-connect-pro: https://edvisage.gumroad.com/l/[TBD]

About Edvisage Global

We build practical safety and operations tools for AI agents. Our skills are designed for the OpenClaw ecosystem and install in minutes.

Website: https://edvisageglobal.com/ai-tools