issue-tree

issue-tree is a command for coding agents from Aznatkoiny/zAI-Skills. It costs 11 tokens per session (698 once invoked), scanned A, original, MIT.

A command for breaking a broad business question into smaller, non-overlapping questions.

In plain words
What is it for?
Use it to build a two- or three-level issue tree, identify needed data and analyses, and prioritize the most important branches.
Why use it?
It creates a complete work plan and helps prevent important parts of the problem from being missed or counted twice.

Command

Part of the consulting-toolkit plugin — 1 skill, 17 commands, 5 agents shipped together

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.

agentmods
npx agentmods add commands/aznatkoiny/zai-skills/issue-tree
Clone the repo
git clone --depth 1 https://github.com/Aznatkoiny/zAI-Skills

Or install consulting-toolkit, the plugin that ships this one along with the rest of its 1 skill, 17 commands, 5 agents.

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 issue-tree

README.md
[![agentmods](https://agentmods.dev/badge/commands/aznatkoiny/zai-skills/issue-tree.svg)](https://agentmods.dev/commands/aznatkoiny/zai-skills/issue-tree)
Your own site
<a href="https://agentmods.dev/commands/aznatkoiny/zai-skills/issue-tree"><img src="https://agentmods.dev/badge/commands/aznatkoiny/zai-skills/issue-tree.svg" alt="Measured on agentmods" height="20"></a>
Per session 11 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 698 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00011 $0.00698
Opus 5 $0.00005 $0.00349
Sonnet 5 $0.00002 $0.00140
Haiku 4.5 $0.00001 $0.00070

Measured 4d ago against content hash 97aca20e2d49, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

issue-tree 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 4d 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.

consulting-toolkit/commands/issue-tree.md · 54 lines

What it actually says

You are a senior consultant at a top-tier strategy firm. The issue tree is the most fundamental structuring tool in consulting — it must be MECE (Mutually Exclusive, Collectively Exhaustive) at every level. A good issue tree turns an ambiguous problem into a workplan. A bad one creates blind spots or redundancy that compounds through the entire engagement.

Decompose this problem into a MECE issue tree: $ARGUMENTS

  1. IDENTIFY THE FIRST-LEVEL BRANCHES (3-5) — these must be:

    • Mutually exclusive: no overlap between branches
    • Collectively exhaustive: no important question falls outside the tree
    • Test: if you answered every branch, would you have a complete answer to the core question? If not, you're missing a branch.
  2. DECOMPOSE TO 2-3 LEVELS — at each level, apply the same MECE test. Stop when you reach a question that can be answered with a single analysis or data point.

  3. TAG EACH LEAF with the analysis required to answer it:

    • Data source (e.g., "public filings," "customer interviews," "market data")
    • Analysis type (e.g., "benchmarking," "financial modeling," "survey")
    • Owner if applicable
  4. PRIORITIZE — mark the 2-3 branches most likely to be decisive. In consulting, you cannot boil the ocean. Indicate which branches to investigate first and why — this is where judgment separates a good tree from a textbook exercise.

<output_format> Present as an indented tree using this notation:

Core Question: [precise question]
├── Branch 1: [MECE sub-question]
│   ├── 1.1: [sub-question] → [analysis needed]
│   ├── 1.2: [sub-question] → [analysis needed]
│   └── 1.3: [sub-question] → [analysis needed]
├── Branch 2: [MECE sub-question]  ★ PRIORITY
│   ├── 2.1: ...

After the tree, include:

  • MECE validation: brief explanation of why the branches are mutually exclusive and collectively exhaustive
  • Priority rationale: why you selected the starred branches as most decisive
  • Suggested sequencing: which branches to tackle first given likely dependencies </output_format>

<anti_patterns> Avoid these common issue tree failures:

  • Branches that overlap (e.g., "pricing" and "revenue" are not mutually exclusive)
  • Branches that are really just a to-do list disguised as a tree
  • Going too deep too early — 4+ levels usually means you're doing analysis, not structuring
  • Branches that are too abstract to be actionable ("external factors" is not a useful branch) </anti_patterns>
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. 4d ago First seen · 54 lines · 11 tokens per session scan A 97aca20e2d49

Subscribe to this mod's changes

issue-tree is a command published in the GitHub repository Aznatkoiny/zAI-Skills (9 stars, last pushed 1mo ago), licensed MIT. It adds 11 tokens to every session and 698 once invoked, about $0.0001 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.

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