Borrowing it
Nothing to install: this file belongs to JameZUK/Arkana. 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/JameZUK/Arkana/main/CLAUDE.mdgit clone --depth 1 https://github.com/JameZUK/ArkanaWrote 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/jamezuk/arkana/claude-md)<a href="https://agentmods.dev/instructions/jamezuk/arkana/claude-md"><img src="https://agentmods.dev/badge/instructions/jamezuk/arkana/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/jamezuk/arkana/claude-md"><img src="https://agentmods.dev/badge/instructions/jamezuk/arkana/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 | $0.09744 | $0.09744 |
| Opus 5 | $0.04872 | $0.04872 |
| Sonnet 5 | $0.01949 | $0.01949 |
| Haiku 4.5 | $0.00974 | $0.00974 |
Grade A, and why
Arkana 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 9d 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 — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Arkana Development Guide
What is Arkana?
Arkana is a Model Context Protocol (MCP) server exposing 308 binary analysis tools to AI clients. It supports PE, ELF, and Mach-O formats with integrations for angr, capa, FLOSS, YARA, Binary Refinery, Qiling, Speakeasy, oletools, and GoReSym.
Project Structure
arkana/ # Main package
├── main.py # Entry point, arg parsing, server startup
├── state.py # Thread-safe AnalyzerState + StateProxy (per-session isolation)
├── config.py # Central re-export hub (constants, imports, state, cache)
├── constants.py # Pure constants (response limits, timeouts, URLs)
├── imports.py # Optional library imports with *_AVAILABLE flags
├── cache.py # Gzip-compressed LRU disk cache (~/.arkana/cache/)
├── auth.py # Bearer token ASGI middleware
├── integrity.py # Pre-parse file integrity checks (PE/ELF/Mach-O)
├── utils.py # ReDoS-safe regex, safe_slice, safe_env_int
├── tool_registry.py # Tool module groups and startup registration
├── parsers/ # PE/FLOSS/capa/YARA/strings parsers
├── dashboard/ # Web dashboard (Starlette + htmx + Jinja2)
│ ├── app.py # ASGI app factory, routes, auth, SSE events
│ ├── state_api.py # Data extraction layer (reads AnalyzerState for dashboard views)
│ ├── __init__.py # Package init
│ ├── templates/ # Jinja2 templates (overview, functions, callgraph, sections, strings, timeline, notes)
│ │ └── partials/ # htmx partials (_global_status, _overview_stats, _task_list, _timeline_entry)
│ └── static/ # CSS (CRT theme), JS (htmx, Cytoscape.js, strings.js), logo
├── resource_monitor.py # Process-level RSS/CPU monitoring (psutil daemon thread)
└── mcp/ # MCP tool modules (308 tools across 67 files)
├── server.py # MCP server instance, tool_decorator, response truncation
├── _*.py # Private helpers (angr, input, format, progress, refinery, rename, search)
└── tools_*.py # Tool modules grouped by domain
tests/ # Unit tests (pytest)
tests/integration/ # Integration tests (requires running server)
.claude/skills/ # Claude Code analysis and learning skills
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.
- 9d ago First seen · 223 lines · 9,744 tokens per session scan A fae749dfa638
Arkana CLAUDE.md is an instructions file published in the GitHub repository JameZUK/Arkana (218 stars, last pushed 16d ago), licensed MIT. It adds 9,744 tokens to every session, about $0.0487 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.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.