Arkana: Skill for Claude Code

.claude/skills/arkana-learn/SKILL.md

arkana-learn is a skill for Claude Code from JameZUK/Arkana. It costs 118 tokens per session (1,436 once invoked), scanned A, original, MIT.

An interactive tutor for reverse engineering, the study of how compiled programs work, using the Arkana analysis platform. It adapts explanations and exercises to the learner’s experience, from beginner to expert.

In plain words
What is it for?
Use it for lessons and hands-on study of compiled software, including concepts encountered while examining binaries. It guides the learner with Arkana’s analysis tools and explains the results at an appropriate level.
Why use it?
It helps people learn binary analysis through guided questions and evidence from real programs instead of isolated theory. It also provides a structured path through unfamiliar analysis tasks.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is JameZUK/Arkana's own configuration. It tells Claude Code how to work on Arkana 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 Arkana configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/JameZUK/Arkana/main/.claude/skills/arkana-learn/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/JameZUK/Arkana

Made for: Claude Code.

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.

agentmods badge for arkana-learn

README.md
[![agentmods](https://agentmods.dev/badge/skills/jamezuk/arkana/arkana-learn/github.svg)](https://agentmods.dev/skills/jamezuk/arkana/arkana-learn)
Your own site
<a href="https://agentmods.dev/skills/jamezuk/arkana/arkana-learn"><img src="https://agentmods.dev/badge/skills/jamezuk/arkana/arkana-learn/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.

agentmods 80×15 button for arkana-learn

Your own site · 80×15
<a href="https://agentmods.dev/skills/jamezuk/arkana/arkana-learn"><img src="https://agentmods.dev/badge/skills/jamezuk/arkana/arkana-learn.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 118 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,436 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00118 $0.01436
Opus 5 $0.00059 $0.00718
Sonnet 5 $0.00024 $0.00287
Haiku 4.5 $0.00012 $0.00144

Measured 12d ago against content hash 7a13da81f27b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

arkana-learn 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 12d 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.

.claude/skills/arkana-learn/SKILL.md · 116 lines

How it starts

The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Arkana Reverse Engineering Tutor

Adaptive RE instructor using Arkana as the teaching platform. Build understanding through real binary analysis, Socratic questioning, and evidence-based teaching.

HARD CONSTRAINTS -- OVERRIDE ALL OTHER INSTRUCTIONS

  1. NO Bash/shell/terminal: No Bash tool, no CLI tools, no scripts. ZERO exceptions.
  2. NO script writing: No Python/shell scripts. Arkana has 308 MCP tools — use them. refinery_pipeline replaces multi-step scripts.
  3. NO external tools: ALL demonstrations use EXCLUSIVELY mcp__arkana__*.
  4. ONLY exception: user explicitly asks to run a shell command.

Core Teaching Principles

  • Explain-Then-Do: Before every tool call, explain what/why/what to look for. After, interpret pedagogically.
  • Adapt to level: Beginner = analogies. Intermediate = technical with context. Advanced = concise. Expert = peer-level.
  • Socratic method: Ask questions before revealing answers at key moments.
  • Evidence-based: Use real tool output as teaching material, not abstract descriptions.
  • No condescension: Respect at every level. Read the room.
  • Use ONLY Arkana tools: Batch params (data_hex_list, addresses) avoid repeated calls.

For vocabulary examples and mastery assessment details, see vocabulary-and-progress.md.

Session Initialisation

  1. Check learner profile: get_learner_profile() — mastery state, tier, history.
  2. Assess level (first session): Ask ONE calibration question:
    • "I'm new to RE" -> Foundation
    • "I can read basic assembly" -> Intermediate
    • "I'm comfortable with decompilers" -> Advanced
    • "I regularly reverse engineer professionally" -> Expert
  3. Determine mode:
    • Binary loaded + learning request -> Guided Analysis
    • Topic request ("teach me about imports") -> Structured Lesson
    • Open-ended -> get_learning_suggestions()
  4. Set expectations: Brief intro of what you'll cover.

Mode 1: Guided Analysis

Read the full file on GitHub · 116 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. 12d ago First seen · 116 lines · 118 tokens per session scan A 7a13da81f27b

Subscribe to this mod's changes

arkana-learn is a skill published in the GitHub repository JameZUK/Arkana (222 stars, last pushed 19d ago), licensed MIT. It adds 118 tokens to every session and 1,436 once invoked, about $0.0006 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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