Skills multi-agent-analysis
📦

multi-agent-analysis

Content revision r1 Safe ⚙️ External commands

Analyze Multi-Agent Coordination

Multi-agent systems can hide brittle handoffs, shared-state coupling, and unclear communication paths. This skill guides Claude, Codex, or Claude Code to map coordination models and produce a structured review.

Supports: Claude Codex Code(CC)
🥉 78 Bronze

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

Agent request
Review the Skillstore skill "multi-agent-analysis" from https://skillstore.io/skills/dowwie-multi-agent-analysis.md and its manifest at https://skillstore.io/api/skills/dowwie-multi-agent-analysis/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

Your Agent should still show its plan and request any confirmation required by the security policy.

Agent-readable resources

Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.

Markdown detail GET /skills/dowwie-multi-agent-analysis.md Signed manifest GET /api/skills/dowwie-multi-agent-analysis/manifest Signed lockfile GET /api/skills/dowwie-multi-agent-analysis/lockfile

Test it

Using "multi-agent-analysis". Review an agent framework with one router and three specialist agents.

Expected outcome:

The system uses a supervisor model. The router owns control flow, specialists receive delegated tasks, and failure handling depends on the router.

Using "multi-agent-analysis". Compare a queue-based pipeline with an event-driven agent network.

Expected outcome:

The pipeline gives clearer ordering and simpler debugging. The event model reduces coupling but needs stronger observability and retry controls.

Using "multi-agent-analysis". Assess state sharing in a system with shared memory and per-agent queues.

Expected outcome:

The design is hybrid. Shared memory improves context access, while queues preserve isolation for task messages and asynchronous replies.

Security Audit

Safe
v9 • 7/6/2026 Open versioned report

All static findings were false positives caused by Markdown fences, inline code formatting, or example terminology in SKILL.md. No evidence of executable commands, credential handling, reconnaissance behavior, or prompt injection attempts was found in the reviewed skill file.

1
Files scanned
353
Lines analyzed
0
Review items
0
False positives ignored

Risk Factors

⚙️ External commands (38)
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No confirmed security findings were detected by the latest completed static and semantic audit. This does not prove the skill has no side effects.
Audited by: codex View Audit History →
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Open versioned report
Security Assessment

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https://skillstore.io/skills/dowwie-multi-agent-analysis/audits/9?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

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Academic citations (APA · BibTeX · CFF)

APA citation

Dowwie. (2026). multi-agent-analysis security audit report (audit version 9) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dowwie-multi-agent-analysis/audits/9

BibTeX citation

@techreport{dowwie-dowwie-multi-agent-analysis-2026, author = {Dowwie}, title = {multi-agent-analysis security audit report (audit version 9)}, institution = {Skillstore}, year = {2026}, number = {9}, url = {https://skillstore.io/skills/dowwie-multi-agent-analysis/audits/9}, note = {Author version unspecified} }

CITATION.cff

cff-version: 1.2.0 message: "If you use this Skill, cite its author and this versioned security audit report." title: "multi-agent-analysis security audit report (audit version 9)" version: "unspecified" type: report authors: - name: "Dowwie" date-released: "2026-07-06" url: "https://skillstore.io/skills/dowwie-multi-agent-analysis/audits/9" identifiers: - type: other value: "skillstore:dowwie-multi-agent-analysis:audit:9" description: "Skillstore immutable audit report identifier"

Skillstore Score

Why this score Evidence Confidence: High
55
Architecture
85
Maintainability
87
Content
70
Community
83
Spec Compliance

What You Can Build

Review Agent Architecture

Map the coordination model, agent inventory, handoffs, and state boundaries in an existing codebase.

Compare Framework Designs

Evaluate how different frameworks route tasks, share state, and handle asynchronous communication.

Plan Integration Work

Identify where orchestration, queues, events, and loop prevention need attention before implementation.

Try These Prompts

Identify the Coordination Model 
Analyze this multi-agent system and classify its coordination model. Focus on control flow, agent roles, and handoff points.
Map Handoffs and State 
Review the provided agent files. Document each handoff, what context moves between agents, and where state is shared or isolated.
Compare Communication Protocols 
Compare the communication protocols in these two multi-agent frameworks. Explain latency, coupling, async behavior, and failure modes for each.
Audit the Orchestration Design 
Perform a full multi-agent analysis for this codebase. Include coordination model, agent inventory, handoff mechanics, state sharing, communication protocol, loop prevention, and recommendations.

Best Practices

  • Provide representative orchestrator, router, and communication files before asking for analysis.
  • Ask for evidence locations so each coordination claim maps back to the source.
  • Review loop prevention, context preservation, and state isolation together.

Avoid

  • Do not ask for conclusions without sharing architecture details or code context.
  • Do not treat illustrative patterns as production-ready security designs.
  • Do not ignore error handling, retries, and handoff limits during analysis.

Frequently Asked Questions

What does this skill analyze?
It analyzes agent coordination models, handoffs, shared state, and communication protocols.
Can it compare different agent frameworks?
Yes. It can compare routing, state sharing, communication style, and coordination tradeoffs.
Does it run the agent system?
No. It reviews provided code and architecture context but does not execute the system.
What input should I provide?
Provide orchestrator files, agent definitions, routing logic, message queues, event handlers, and architecture notes.
Can it find loop risks?
Yes. It asks for loop prevention details such as depth limits, visited sets, and maximum handoffs.
Is it useful for production reviews?
Yes, as an architecture review aid. It should be paired with testing, threat modeling, and operational review.

Developer Details

Author

Dowwie

License

MIT

Skillstore revision

r1

Version notice

The author did not declare a version.

Repository

https://github.com/Dowwie/agent_framework_study/tree/main/.claude/skills/multi-agent-analysis

Ref

72d5025b022c77f7a51bdf5c1637c689c80e89d1

Maintenance freshness

7/18/2026

Usage

5 downloads · 198 views

File structure

📄 SKILL.md