arcane: Instructions file for Codex

AGENTS.md

arcane AGENTS.md is an instructions file for Codex, OpenCode from Edition-X/arcane. It costs 2,136 tokens per session, scanned A, original, MIT.

Project guidance for Arcane, a personal engineering memory system. Arcane stores decisions, bugs, patterns, and lessons from development work in a searchable database and provides them to AI assistants.

In plain words
What is it for?
Use it when navigating Arcane’s command-line tools, database layer, search, plugins, services, or MCP server.
Why use it?
It gives an agent the project’s structure and conventions so it can work consistently with the memory system’s code.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions Claude Code; mentions Codex.

This is Edition-X/arcane's own configuration. It tells Codex and OpenCode how to work on arcane 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 arcane configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Edition-X/arcane. 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/Edition-X/arcane/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/Edition-X/arcane

Made for: Codex, OpenCode.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

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README.md
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Per session 2,136 This file is loaded in full into every session.
When invoked 2,136 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 $0.02136 $0.02136
Opus 5.5 $0.00854 $0.00854
Sonnet 5.5 $0.00427 $0.00427
Haiku 4.5 $0.00214 $0.00214

Measured 13d ago against content hash 78cfa495444d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

arcane 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 13d 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.

AGENTS.md · 162 lines

How it starts

The opening of the file, as written. The whole thing — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Arcane — Agent Guidance

This file tells AI coding agents (Claude Code, Cursor, Copilot Workspace, etc.) how to work with this codebase effectively.

Project Overview

Arcane is a personal engineering memory system exposed as an MCP (Model Context Protocol) server. It stores decisions, bugs, patterns, and learnings across engineering sessions using SQLite with FTS5 + vector search.

Architecture

src/arcane/
├── cli/            # Click CLI — one module per command group
├── domain/         # Pydantic domain models (Memory, Journey, Artifact…)
├── infra/          # Infrastructure: DB repos, config, search, embeddings, redaction
│   ├── db/         # SQLite schema, MemoryRepo, JourneyRepo, ArtifactRepo, RelationshipRepo
│   └── embeddings/ # Ollama + OpenAI embedding providers
├── mcp_server/     # MCP stdio server + tool handlers
│   └── tools/      # One file per tool group (memory, journey, artifact…)
├── plugins/        # Plugin system (ingestion, intelligence, content)
│   └── builtin/    # Built-in plugins: git, GHA, Linear, velocity, blog, ADR
└── services/       # Business logic: MemoryService, JourneyService, ArtifactService…

Key Conventions

Dependency Injection

All services receive a ServiceContainer (defined in services/container.py). Never construct repos or the DB directly outside of create_container() or tests. CLI commands must use the with create_container() as container: pattern for proper resource cleanup.

Repository Boundary

All DB read methods return fully deserialized Python objects — tags are list[str], datetimes are strings. Never call json.loads() on data returned from a repo method; _process_row() in MemoryRepo handles this centrally.

Embedding + Vector Search

Vector search is optional — the system degrades gracefully to FTS if memories_vec table is absent or dimensions mismatch. The dimension is stored in the meta table and checked on every embed operation. Use memory_repo.invalidate_vec_cache() after DDL changes to the vec table. Never ALTER TABLE ... RENAME a vec0 table: its shadow tables keep the old name and the renamed table stops working — drop and recreate it inside one transaction instead.

Read the full file on GitHub · 162 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. 13d ago Changed · +5 lines · +340 tokens per session 78cfa495444d
  2. 1mo ago Changed · +74 tokens per session 69573cd4b621
  3. 2mo ago First seen · 157 lines · 1,722 tokens per session scan A 14e81097c194

Subscribe to this mod's changes

arcane AGENTS.md is an instructions file published in the GitHub repository Edition-X/arcane (0 stars, last pushed 12d ago), licensed MIT. It adds 2,136 tokens to every session, about $0.0085 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.

Related

arcane AGENTS.md compared with instructions from other repositories

arcane AGENTS.md next to 6 instructions from other repositories
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vscode oss-third-party-notices.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA5,516GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA3,093GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file274k2d agoMITA4,313Codex, OpenCode