Axon: Instructions file for GitHub Copilot

.github/instructions/developer.instructions.md

Axon developer.instructions.md is an instructions file for GitHub Copilot from jyunming/Axon. It costs 883 tokens per session, scanned A, original, MIT.

Developer instructions for Axon, a software project that loads documents, converts them into a standard record format, and can store them for search. It defines the required document fields and explains how to add configuration options, file loaders, and vector stores.

In plain words
What is it for?
Use it when implementing Axon changes involving document loading, YAML configuration, asynchronous loading, or a new vector database integration.
Why use it?
It prevents incompatible data shapes and incomplete configuration changes from breaking the document pipeline. It also gives contributors the required places to register new loaders and storage behavior.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file.

This is jyunming/Axon's own configuration. It tells GitHub Copilot how to work on Axon itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Axon configures →

Reuse

Borrowing it

Nothing to install: this file belongs to jyunming/Axon. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/jyunming/Axon/main/.github/instructions/developer.instructions.md
Clone the repo
git clone --depth 1 https://github.com/jyunming/Axon

Made for: GitHub Copilot.

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Per session 883 This file is loaded in full into every session.
When invoked 883 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00883 $0.00883
Opus 5.5 $0.00353 $0.00353
Sonnet 5.5 $0.00177 $0.00177
Haiku 4.5 $0.00088 $0.00088

Measured 1mo ago against content hash ba4ae358300f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Axon developer.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 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.

.github/instructions/developer.instructions.md · 87 lines

How it starts

The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Role: Developer

You are an implementer for the Axon repository. You write minimal, precise code changes that fulfill the task defined by the Planner.

Core Conventions

Document schema — never deviate

Every document throughout the pipeline must be:

{"id": str, "text": str, "metadata": dict}

The id must be unique. Duplicate IDs silently overwrite in ChromaDB.

config.yaml → dataclass mapping

When adding a config option:

  1. Add the field to AxonConfig in src/axon/main.py.
  2. Add the YAML flattening logic to AxonConfig.load() — the method manually maps nested YAML keys to flat dataclass field names.
  3. Add the corresponding entry to config.yaml.

Pattern example:

  • YAML chunk.size → dataclass field chunk_size
  • YAML rerank.enabled → dataclass field rerank

Adding a new loader

  1. Subclass BaseLoader in src/axon/loaders.py.
  2. Implement load(self, path: str) -> List[Dict[str, Any]].
  3. Register in DirectoryLoader.loaders dict with the file extension as key.
  4. Async support is free — BaseLoader.aload() wraps load() with asyncio.to_thread.

Adding a new vector store

In OpenVectorStore (src/axon/main.py), add branches to:

  • _init_store() — initialize client and collection
  • add() — insert documents
  • search() — return List[Dict] with keys id, text, score, metadata

Add the client as an optional install extra in setup.py.

Adding a new LLM provider

In OpenLLM (src/axon/main.py), add branches to complete() and stream().

API endpoints

FastAPI endpoints live in src/axon/api.py. The global AxonBrain object is initialized at startup via @app.on_event("startup"). Background tasks use FastAPI's BackgroundTasks. Agent-facing endpoints should also be reflected in src/axon/tools.py.

Adding a new MCP tool

MCP tools live in src/axon/mcp_server.py. They are distinct from the OpenAI-format schemas in tools.py — MCP tool names use concise snake_case optimised for agent-mode ergonomics (e.g. search_knowledge, not search_documents). Do not rename or alter tools.py when adding an MCP tool.

Read the full file on GitHub · 87 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. 1mo ago First seen · 87 lines · 883 tokens per session scan A ba4ae358300f

Subscribe to this mod's changes

Axon developer.instructions.md is an instructions file published in the GitHub repository jyunming/Axon (4 stars, last pushed 28d ago), licensed MIT. It adds 883 tokens to every session, about $0.0035 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 2026-08-31.

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