a2a-adapter: Open Source A2A Protocol Adapter SDK for Different Agent Frameworks and Harnesses

by hybroai · Codex Skill · ★ 104

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install a2a-adapter

pip install a2a-adapter                # Core (includes n8n, callable)
pip install a2a-adapter[crewai]        # + CrewAI

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 79/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

a2aa2a-agenta2a-clienta2a-protocola2a-serveragentaiclaude-codecodex-clicrewai

Quick Facts

Stars104
Forks15
LanguagePython
CategoryCodex Skill
LicenseApache-2.0
Quality Score79/100
Open Issues1
Last Updated2026-11-05
Created2025-11-15
Platformsclaude-code, cli, codex, python
Est. Tokens~16k

About a2a-adapter

A2A Adapter Convert any AI agent into an A2A Protocol server in 3 lines. A Python SDK that makes any agent framework (n8n, LangGraph, CrewAI, LangChain, OpenClaw, Hermes Agent, Claude Code, Codex, Ollama, or a plain function) compatible with the A2A (Agent-to-Agent) Protocol. That's it.

Compatible Skills

These tools work well together with a2a-adapter for enhanced workflows:

  • AgentUp — semantic(0.52)+complementary+rare_topics+same_lang+similar_pop+shared_platform (68%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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