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/skills/arkana-learn/SKILL.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/skills/jamezuk/arkana/arkana-learn)<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.
<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>- NVIDIA SkillSpector pass
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 | $0.00118 | $0.01436 |
| Opus 5 | $0.00059 | $0.00718 |
| Sonnet 5 | $0.00024 | $0.00287 |
| Haiku 4.5 | $0.00012 | $0.00144 |
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.
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
- NO Bash/shell/terminal: No Bash tool, no CLI tools, no scripts. ZERO exceptions.
- NO script writing: No Python/shell scripts. Arkana has 308 MCP tools — use them.
refinery_pipelinereplaces multi-step scripts. - NO external tools: ALL demonstrations use EXCLUSIVELY
mcp__arkana__*. - 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
- Check learner profile:
get_learner_profile()— mastery state, tier, history. - 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
- Determine mode:
- Binary loaded + learning request -> Guided Analysis
- Topic request ("teach me about imports") -> Structured Lesson
- Open-ended ->
get_learning_suggestions()
- Set expectations: Brief intro of what you'll cover.
Mode 1: Guided Analysis
What ships with it
20 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- concepts/advanced-unpacking.md 11 KB
- concepts/anti-analysis.md 18 KB
- concepts/assembly-intro.md 12 KB
- concepts/binary-basics.md 7.5 KB
- concepts/campaign-analysis.md 9.8 KB
- concepts/capabilities-mapping.md 9.5 KB
- concepts/config-extraction.md 10 KB
- concepts/control-flow.md 7.8 KB
- concepts/crypto-patterns.md 9.0 KB
- concepts/data-flow.md 9.3 KB
- concepts/decompilation.md 12 KB
- concepts/emulation-dynamic.md 18 KB
- concepts/imports-exports.md 11 KB
- concepts/packing-unpacking.md 11 KB
- concepts/pe-structure.md 9.5 KB
- concepts/strings-analysis.md 9.4 KB
- concepts/yara-authoring.md 9.6 KB
- curriculum.md 30 KB
- tool-selection-by-level.md 2.1 KB
- vocabulary-and-progress.md 2.4 KB
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.
- 12d ago First seen · 116 lines · 118 tokens per session scan A 7a13da81f27b
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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