attack-tree-construction

attack-tree-construction is a skill for Claude Code, Codex from rootcastleco/rei-skills. It costs 31 tokens per session (347 once invoked), scanned A, original, no licence file.

A method for drawing attack trees, diagrams that break a security goal into the different steps an attacker could take.

In plain words
What is it for?
Use it to map attack scenarios, find gaps in security controls, and communicate risks to stakeholders.
Why use it?
It makes possible attack routes and missing defenses easier to examine and explain.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to map attack scenarios, find gaps in security controls, and communicate risks to stakeholders.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rootcastleco/rei-skills/attack-tree-construction
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add rootcastleco/rei-skills --skill attack-tree-construction
Clone the repo
git clone --depth 1 https://github.com/rootcastleco/rei-skills

Made for: Claude Code, Codex.

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 attack-tree-construction

README.md
[![agentmods](https://agentmods.dev/badge/skills/rootcastleco/rei-skills/attack-tree-construction.svg)](https://agentmods.dev/skills/rootcastleco/rei-skills/attack-tree-construction)
Your own site
<a href="https://agentmods.dev/skills/rootcastleco/rei-skills/attack-tree-construction"><img src="https://agentmods.dev/badge/skills/rootcastleco/rei-skills/attack-tree-construction.svg" alt="Measured on agentmods" height="20"></a>
Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 347 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.
Origin unknown 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 $0.00031 $0.00347
Opus 5 $0.00015 $0.00173
Sonnet 5 $0.00006 $0.00069
Haiku 4.5 $0.00003 $0.00035

Measured 8d ago against content hash 5619bf93610c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

attack-tree-construction 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 8d 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.

skills/attack-tree-construction/SKILL.md · 49 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

What ships with it

1 file 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.

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. 8d ago First seen · 49 lines · 31 tokens per session scan A 5619bf93610c

Subscribe to this mod's changes

attack-tree-construction is a skill published in the GitHub repository rootcastleco/rei-skills (6 stars, last pushed today), with no licence file. It adds 31 tokens to every session and 347 once invoked, about $0.0002 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 2026-08-31.

Related

Other skills, from other repositories

git-master

MUST USE for ANY git operations. Atomic commits, rebase/squash, cherry-pick, worktree, reflog recovery, and history search (blame, bisect, log -S). STRONGLY RECOMMENDED: Use with task(category='quick', loadskills=['git-master'], ...) to save context. Triggers: 'commit', 'rebase', 'squash', 'cherry-pick', 'worktree'…

yunseo-kim/agent-toolbox · 118 tokens

algorithmic-art

Create algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use for generative art, flow fields, particle systems, and creative coding.

yunseo-kim/agent-toolbox · 36 tokens

marketing-psychology

Apply psychological principles, mental models, and behavioral science to marketing for more persuasive campaigns.

yunseo-kim/agent-toolbox · 21 tokens

rag-patterns

Implementation patterns for Retrieval-Augmented Generation covering basic chains, corrective RAG, hybrid search, knowledge graphs with community detection, agentic RAG, multimodal retrieval, and reasoning-based vectorless RAG.

yunseo-kim/agent-toolbox · 44 tokens

doc-coauthoring

Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers.…

yunseo-kim/agent-toolbox · 77 tokens

skill-creator

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.

yunseo-kim/agent-toolbox · 45 tokens