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.
curl -O https://raw.githubusercontent.com/Edition-X/arcane/main/CLAUDE.mdgit clone --depth 1 https://github.com/Edition-X/arcaneWrote 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.
[](https://agentmods.dev/instructions/edition-x/arcane/claude-md)<a href="https://agentmods.dev/instructions/edition-x/arcane/claude-md"><img src="https://agentmods.dev/badge/instructions/edition-x/arcane/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/edition-x/arcane/claude-md"><img src="https://agentmods.dev/badge/instructions/edition-x/arcane/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01200 | $0.01200 |
| Opus 5.5 | $0.00480 | $0.00480 |
| Sonnet 5.5 | $0.00240 | $0.00240 |
| Haiku 4.5 | $0.00120 | $0.00120 |
Grade A, and why
arcane CLAUDE.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.
How it starts
The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Arcane — Project Instructions for Claude Code
What This Project Is
Arcane is a personal engineering memory MCP server. It exposes tools for saving/searching memories, tracking decision journeys, ingesting artifacts from CI/Linear/Git, and generating blog posts or ADRs. The canonical data store is SQLite with FTS5 + sqlite-vec for hybrid search.
MCP Server
The MCP server is the primary interface for AI agents. Run it with:
arcane mcp
It communicates via stdio (JSON-RPC). For Claude Desktop / Claude Code integration, add it to your MCP config:
{
"mcpServers": {
"arcane": {
"command": "arcane",
"args": ["mcp"]
}
}
}
Development Priorities
- No regressions: always run
pytestbefore committing - Type safety: new public functions must have type annotations; run
mypy src/arcaneafter changes - DRY: check existing services and repos before adding new logic
- Test end to end: new tests drive the real
arcane mcpserver or CLI against a real temp store (tests/e2e/). No mocked unit tests; fake the network only for GitHub, Linear and Ollama (tests/plugins/,tests/unit/test_embeddings.py)
Arcane Memory Discipline (for Claude Code)
Arcane is the persistent memory system for this project. Use it automatically — do not wait to be asked.
At the start of every session
- Call
memory_contextfor the current project to load recent decisions, bugs, and context. - If the request references prior work, past decisions, or "last time", call
memory_searchwith task-specific terms. - If the task sounds like an ongoing investigation or spike, call
journey_listto find active journeys.
Before researching anything
- Call
memory_searchfirst — the answer may already be stored.
When to save memories (after every git commit)
- Decision made →
memory_savewithcategory: "decision" - Bug fixed →
memory_savewithcategory: "bug", including root cause and how to recognise it - Pattern discovered →
memory_savewithcategory: "pattern"or"learning" - Milestone shipped →
memory_savewithcategory: "milestone"
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.
- 13d ago Changed · -1 lines · +46 tokens per session 871481245ac3
- 1mo ago Changed · +1 lines · +35 tokens per session c67e90a99d44
- 2mo ago Changed · +1 lines · +41 tokens per session 877e64cb2372
- 2mo ago First seen · 103 lines · 1,078 tokens per session scan A dff7763ebb7e
arcane CLAUDE.md is an instructions file published in the GitHub repository Edition-X/arcane (0 stars, last pushed 12d ago), licensed MIT. It adds 1,200 tokens to every session, about $0.0048 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.
arcane CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| arcane CLAUDE.mdEdition-X/arcane | Instructions file | 0 | 12d ago | MIT | A | 1,200 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |