goal-tree

A method for breaking a goal into smaller goals, where completing the child goals should achieve the parent goal. Each part is checked to see whether it is sufficient.

In plain words
What is it for?
Use it to structure implementation plans, future-state plans, and issue work into concrete steps that can be checked.
Why use it?
It makes missing work and unproven assumptions visible when planning a project or solving a problem.

Skill for Claude CodeCodex

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 skills/juxt/claude-plugins/goal-tree
Any agent
npx skills add juxt/claude-plugins --skill goal-tree
Clone the repo
git clone --depth 1 https://github.com/juxt/claude-plugins

Made for: Claude Code, Codex.

Per session 110 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,135 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 $0.00110 $0.01135
Opus 5 $0.00055 $0.00567
Sonnet 5 $0.00022 $0.00227
Haiku 4.5 $0.00011 $0.00113

Measured 2d ago against content hash 57c3f80912bb, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

goal-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 2d 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.

plugins/chalk/skills/goal-tree/SKILL.md · 89 lines

How it starts

The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Chalk Goal Trees

Interpret MUST, MUST NOT, SHOULD, SHOULD NOT, MAY, etc. per RFC 2119.

A goal tree is a mindmap whose relation is serves, not supports. Load chalk:mindmap first — subject lines, bolding, shallow nesting, tags and typed IDs all apply here unchanged.

The shape

The root is the goal. Each node's children are what it takes to achieve it, recursively, down to leaves that are directly actionable.

Every node's children MUST be work that accomplishes it, not evidence that argues for it. If they argue rather than accomplish, it's an argument tree; see chalk:mindmap.

The test at each node is sufficiency

Assume every child is done, then ask whether the parent is thereby achieved.

Not "do these look related to the parent?" but "do these, plus what we already know about this system, get us there?"

  • The domain knowledge is part of the test. Say that out loud rather than leaning on it silently.

  • Each node MUST be tested for sufficiency explicitly rather than assumed, and any node whose children are not clearly sufficient MUST be marked check: rather than left to read as settled.

  • This is why goal trees don't need the decomposition note an argument tree needs (see chalk:mindmap).

To find a missing child, ask what would stop the parent rather than what would achieve it.

Every leaf is one of three things — say which

A leaf MUST declare which kind it is wherever that isn't obvious.

  • Something we do.
  • Something expected of someone or something else The user, CI, another team, an upstream library, existing behaviour.
  • A plain fact about the world we're relying on.

An expectation of someone else MUST NOT be written as though it were our own task. It reads as covered, it sits in the tree looking like work, and nothing happens until someone notices it was never assigned.

assumption: covers whether a leaf has been verified; this is the separate question of who's on the hook. A leaf can be both — a verified fact about an upstream library is still someone else's to keep true.

Read the full file on GitHub · 89 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. 2d ago First seen · 89 lines · 110 tokens per session scan A 57c3f80912bb

Subscribe to this mod's changes

goal-tree is a skill published in the GitHub repository juxt/claude-plugins (10 stars, last pushed 4d ago), licensed MIT. It adds 110 tokens to every session and 1,135 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 2026-08-31.

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