Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add OrcaQubits/agentic-commerce-skills-plugins --skill a2a-dev-patternsgit clone --depth 1 https://github.com/OrcaQubits/agentic-commerce-skills-pluginsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/orcaqubits/agentic-commerce-skills-plugins/a2a-dev-patterns)<a href="https://agentmods.dev/skills/orcaqubits/agentic-commerce-skills-plugins/a2a-dev-patterns"><img src="https://agentmods.dev/badge/skills/orcaqubits/agentic-commerce-skills-plugins/a2a-dev-patterns/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/orcaqubits/agentic-commerce-skills-plugins/a2a-dev-patterns"><img src="https://agentmods.dev/badge/skills/orcaqubits/agentic-commerce-skills-plugins/a2a-dev-patterns.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00054 | $0.01273 |
| Opus 5.5 | $0.00022 | $0.00509 |
| Sonnet 5.5 | $0.00011 | $0.00255 |
| Haiku 4.5 | $0.00005 | $0.00127 |
Grade A, and why
a2a-dev-patterns scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
A2A Development Patterns
Before writing code
Fetch live docs:
- Fetch
https://a2a-protocol.org/latest/specification/for the latest protocol details - Web-search
a2a protocol best practices multi-agent architecturefor community patterns - Web-search
site:github.com a2aproject A2A samples patternsfor reference architectures - Web-search
multi-agent system design patternsfor general multi-agent architecture guidance
Conceptual Architecture
Orchestration Topologies
Hub-and-Spoke (Orchestrator)
A central coordinator agent delegates subtasks to specialist agents:
┌→ Research Agent
Coordinator Agent ──┼→ Analysis Agent
└→ Writing Agent
- Pros: Centralized control, clear task routing, easy to monitor
- Cons: Single point of failure, coordinator bottleneck
- Use when: Well-defined subtask decomposition, need for aggregation
Peer-to-Peer (Mesh)
Agents discover and communicate directly with each other:
Agent A ←→ Agent B
↕ ↕
Agent C ←→ Agent D
- Pros: No single point of failure, flexible
- Cons: Complex routing, harder to monitor, potential loops
- Use when: Agents are loosely coupled, dynamic discovery needed
Pipeline (Chain)
Tasks flow through a sequence of agents:
Input → Agent A → Agent B → Agent C → Output
- Pros: Simple flow, easy to reason about, composable
- Cons: Sequential latency, failure in one stage blocks all
- Use when: Clear transformation stages, ETL-like workflows
Hierarchical (Tree)
Manager agents delegate to team agents, which may further delegate:
CEO Agent
├── Marketing Manager Agent
│ ├── Content Agent
│ └── SEO Agent
└── Engineering Manager Agent
├── Frontend Agent
└── Backend Agent
- Pros: Natural decomposition, scoped authority, scalable
- Cons: Deep hierarchies add latency, complex coordination
- Use when: Large organizations of agents, domain separation
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 148 lines · 54 tokens per session scan A 5a9c06a89061
a2a-dev-patterns is a skill published in the GitHub repository OrcaQubits/agentic-commerce-skills-plugins (39 stars, last pushed 1mo ago), licensed MIT. It adds 54 tokens to every session and 1,273 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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