agentmods.dev

a2a-python AGENTS.md

Repository instructions for the Python SDK for the Agent2Agent (A2A) Protocol, which lets software agents exchange messages and manage tasks across several communication methods.

In plain words
What is it for?
Use it when modifying this Python project, especially its source code, tests, documentation, REST, gRPC, or JSON-RPC communication.
Why use it?
It tells coding agents which project files to read, checks to run, and rules to follow before changing or finishing work.

Instructions file for CodexOpenCode

2.1k 5d ago A scan 448 tokens original Apache-2.0
View the source file a2aproject/a2a-python
Install

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.

agentmods
npx agentmods add instructions/a2aproject/a2a-python/agents-md
Clone the repo
git clone --depth 1 https://github.com/a2aproject/a2a-python

Made for: Codex, OpenCode.

Per session 448 This file is loaded in full into every session.
When invoked 448 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00448 $0.00448
Opus 5 $0.00224 $0.00224
Sonnet 5 $0.00090 $0.00090
Haiku 4.5 $0.00045 $0.00045

Measured yesterday against content hash 5bbaddd1c852, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

a2a-python AGENTS.md 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 yesterday.

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.

AGENTS.md · 45 lines

What it actually says

AGENTS.md

Python SDK for the Agent2Agent (A2A) Protocol (a2a module, a2a-sdk distribution). It handles complex messaging, task management, and communication across different transports (REST, gRPC, JSON-RPC).

Technology Stack & Architecture

  • Language: Python 3.10+
  • Package Manager: uv
  • Lead Transports: Starlette (REST/JSON-RPC), gRPC
  • Data Layer: SQLAlchemy (SQL), Pydantic (Logic/Legacy), Protobuf (Modern Messaging)
  • Key Directories:
    • /src: Core implementation logic.
    • /tests: Comprehensive test suite.
    • /docs: AI guides and migration documentation.

Mandatory workflow

You MUST do all of the following:

  1. At the start of every task that touches files, read docs/ai/coding_conventions.md, docs/ai/mandatory_checks.md, and docs/ai/evidence_rules.md.

  2. Before declaring any task done, run the full check sequence in docs/ai/mandatory_checks.md — including for markdown/comment/whitespace-only changes.

  3. On any mistake, load the mistake-reflection skill at .agents/skills/mistake-reflection/SKILL.md before continuing your response. The skill appends a structured entry to docs/ai/ai_learnings.md (gitignored local journal) so the user can use those findings to improve the workflow.

    When unsure: load the skill. False positives are free; false negatives are how the same mistake recurs.

Optional extras

pyproject.toml defines extras (grpc, telemetry, postgresql, etc.). The dev group installs a2a-sdk[all], so anything gated behind an extra must still import lazily at runtime — the install-smoke harness verifies this per profile.

Changes

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.

  1. yesterday First seen · 45 lines · 448 tokens per session scan A 5bbaddd1c852

Subscribe to this mod's changes

a2a-python AGENTS.md is an instructions file published in the GitHub repository a2aproject/a2a-python (2,116 stars, last pushed 5d ago), licensed Apache-2.0. It adds 448 tokens to every session, about $0.0022 per session on Opus 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.

Backend and APIsTestingWriting and docsa2aa2a-clienta2a-mcpa2a-protocolagentsgenerative-ai
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