start

start is a command for coding agents from GOAL-T/goaltree. It costs 23 tokens per session (386 once invoked), scanned A, original, Apache-2.0.

A project-mapping command that examines a codebase and builds a GoalT tree linking goals to source files and backend parts.

In plain words
What is it for?
Use it to document a project's functional areas, connect them to implementation files, and record related tables, functions, routes, or other backend pieces.
Why use it?
It helps turn an unfamiliar project into a concrete map based on the files and database or API structures that actually exist.

Command

Part of the goalt plugin — 1 command, 2 MCP servers 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/goal-t/goaltree/start
Clone the repo
git clone --depth 1 https://github.com/GOAL-T/goaltree

Or install goalt, the plugin that ships this one along with the rest of its 1 command, 2 MCP servers.

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 start

README.md
[![agentmods](https://agentmods.dev/badge/commands/goal-t/goaltree/start.svg)](https://agentmods.dev/commands/goal-t/goaltree/start)
Your own site
<a href="https://agentmods.dev/commands/goal-t/goaltree/start"><img src="https://agentmods.dev/badge/commands/goal-t/goaltree/start.svg" alt="Measured on agentmods" height="20"></a>
Per session 23 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 386 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 $0.00023 $0.00386
Opus 5 $0.00012 $0.00193
Sonnet 5 $0.00005 $0.00077
Haiku 4.5 $0.00002 $0.00039

Measured 3d ago against content hash f971d8db3705, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

start 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 3d 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.

commands/start.md · 16 lines

What it actually says

Build a GoalT goal tree for the current project.

  1. Figure out the absolute path of the project root (the current working directory, unless told otherwise).
  2. Explore the codebase before inventing any structure: read the README if one exists, the package manifest (package.json / pyproject.toml / etc.), the top-level folder layout, and -- if present -- database migration files or a schema definition (e.g. a supabase/migrations folder, a Prisma schema, a Django models file).
  3. From what you actually find, identify the project's real functional areas (e.g. authentication, payments, a specific feature area) -- don't guess generic categories that don't match this codebase.
  4. Call create_tree with a root_label describing the project and project_root set to the absolute path from step 1.
  5. Call add_goal for each functional area you identified, writing a genuine one-or-two-sentence description of what it does in this specific codebase. Where you can confidently identify the files that implement it, pass them as related_files (paths relative to project_root). Where relevant backend artifacts exist (database tables, edge functions, API routes), pass them as related_backend.
  6. If some goals genuinely depend on or serve more than one parent area, give them multiple parents -- don't force everything into a single-parent tree if the real structure isn't like that.
  7. Once the tree is built, call open_dashboard and tell the user it's ready, briefly summarizing what you found.

Do not fabricate files or backend artifacts you haven't actually seen -- it's fine, and expected, for some goals to have no related_files yet if you're not confident about the mapping. Leave those empty rather than guessing.

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. 3d ago First seen · 16 lines · 23 tokens per session scan A f971d8db3705

Subscribe to this mod's changes

start is a command published in the GitHub repository GOAL-T/goaltree (0 stars, last pushed 21d ago), licensed Apache-2.0. It adds 23 tokens to every session and 386 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.