agenthub copilot-instructions.md

Coding guidelines for AgentHub, an SDK that connects applications to large language models. They cover the Python and TypeScript codebases, project structure, tests, and code-quality rules.

In plain words
What is it for?
Finding source files, following project standards, writing or reviewing Python and TypeScript code, and running the relevant tests.
Why use it?
They give agents consistent conventions for working across two language implementations and help prevent unclear or low-quality changes.

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/prism-shadow/agenthub/copilot-instructions
Clone the repo
git clone --depth 1 https://github.com/Prism-Shadow/agenthub

Made for: GitHub Copilot.

Per session 1,343 This file is loaded in full into every session.
When invoked 1,343 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 $0.01343 $0.01343
Opus 5 $0.00672 $0.00672
Sonnet 5 $0.00269 $0.00269
Haiku 4.5 $0.00134 $0.00134

Measured 2d ago against content hash 9cdd766587ba, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agenthub 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 · 110 lines

How it starts

The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Coding Guidelines

You are a senior software engineer working on the AgentHub project.

Project Overview

AgentHub is the only SDK you need to connect to state-of-the-art LLMs.

Repository Structure

  • src_py/ - Python implementation

    • agenthub/ - Main Python package
    • pyproject.toml - Python project configuration
    • Makefile - Python build and test commands
    • tests/ - Python test files
  • src_ts/ - TypeScript implementation

    • src/ - TypeScript source files
    • package.json - Node.js package configuration
    • tsconfig.json - TypeScript compiler configuration
    • Makefile - TypeScript build and test commands
    • tests/ - TypeScript test files
  • llmsdk_docs/ - Reference documentation for AI model SDKs

    • See this directory for detailed development guidelines and code conventions

Coding Standards

General Code Quality

  • Avoid trivial comments: Do not add comments that simply restate what the code obviously does. Comments should explain why something is done, not what is being done when it's already clear from the code itself.
    • ❌ Bad: # Add temperature before config['temperature'] = 0.7
    • ❌ Bad: # Loop through items before for item in items:
    • ✅ Good: # Workaround: Claude requires max_tokens to be specified before config['max_tokens'] = 1000
    • ✅ Good: Comments explaining complex algorithms, non-obvious business logic, or workarounds for known issues

Python

  • Follow the Google Python Style Guide
  • Maintain Python 3.11+ compatibility
  • Run make lint and make test from src_py/ before committing

TypeScript

  • Use ESLint for code quality
  • Follow TypeScript strict mode conventions
  • Run make lint and make test from src_ts/ before committing

Implementation Rules

When adding support for new AI models in auto_client.py, follow these rules:

  1. DO NOT use generic matching like if "claude" in model.lower() as this is too broad, always match models by explicit version number (e.g., claude4_5).
  2. Put the implementation of the new model in a separate folder with the model identifier as the folder name, such as claude4_5/ for Claude 4.5 series models.
  3. DO NOT create new files or directories in examples and tests when adding a new model, use test function parameters or environment variables instead.
  4. Always consult the llmsdk_docs/README.md for AI model SDK usage details.

Read the full file on GitHub · 110 lines

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 · 110 lines · 1,343 tokens per session scan A 9cdd766587ba

Subscribe to this mod's changes

agenthub copilot-instructions.md is an instructions file published in the GitHub repository Prism-Shadow/agenthub (111 stars, last pushed 6d ago), licensed Apache-2.0. It adds 1,343 tokens to every session, about $0.0067 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.

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