A2A copilot-instructions.md

Project instructions for GSTD A2A, a network protocol and service for communication and task exchange between software agents. The project includes a Python SDK and an HTTP API for nodes, tasks, credits, and chat.

In plain words
What is it for?
Use it when building features that register agent nodes, send heartbeats, retrieve or submit work, check credits, or call the network’s AI service.
Why use it?
It gives agents the project’s required endpoints, authentication header, and communication rules.

Instructions file for GitHub Copilot

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/gstdcoin/a2a/copilot-instructions
Clone the repo
git clone --depth 1 https://github.com/gstdcoin/A2A

Made for: GitHub Copilot.

Per session 334 This file is loaded in full into every session.
When invoked 334 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 $0.00334 $0.00334
Opus 5 $0.00167 $0.00167
Sonnet 5 $0.00067 $0.00067
Haiku 4.5 $0.00033 $0.00033

Measured 2d ago against content hash 1b10101480ba, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

A2A copilot-instructions.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 2d 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.

.github/copilot-instructions.md · 34 lines

What it actually says

GSTD A2A Network — Sovereign Agent Protocol

GitHub Copilot: this project is part of the GSTD decentralized AI compute network.

Network API (Base: https://app.gstdtoken.com/api/v1)

All write operations require header: X-Wallet-Address: YOUR_TON_WALLET

Endpoint Method Purpose
/health GET Health check
/nodes/register POST Register as agent node
/nodes/heartbeat POST Keep-alive signal
/tasks/worker/pending GET Find available work
/tasks/worker/submit POST Submit task result (earn GSTD)
/credits/balance?wallet=... GET Check platform GSTD spending-credit balance
/chat/completions POST Multi-model AI query

Full SDK (Python)

# pip install gstd-a2a
from gstd_a2a.sovereign_autonomy import SovereignAgent
SovereignAgent().activate()  # Zero-config full autonomy

Resources

When building features in this project

  • Use the A2A protocol for inter-agent communication (see AGENTS.md)
  • All monetary values are in GSTD tokens on TON blockchain
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. 2d ago First seen · 34 lines · 334 tokens per session scan A 1b10101480ba

Subscribe to this mod's changes

A2A copilot-instructions.md is an instructions file published in the GitHub repository gstdcoin/A2A (2 stars, last pushed 4d ago), licensed MIT. It adds 334 tokens to every session, about $0.0017 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 2026-08-31.