first-tree AGENTS.md

Repository instructions for first-tree, a pnpm monorepo—a single code repository containing several related packages—for a command-line tool, server, web app, and agent-team tooling.

In plain words
What is it for?
Installing dependencies, starting the server and web app, generating database files, running checks and tests, and finding detailed CLI or package instructions.
Why use it?
They explain the system's parts, technology choices, required documentation, and commands so developers can work across packages without guessing.

Instructions file for CodexOpenCode

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 instructions/first-tree-ai/first-tree/agents-md
Clone the repo
git clone --depth 1 https://github.com/first-tree-ai/first-tree

Made for: Codex, OpenCode.

Per session 2,111 This file is loaded in full into every session.
When invoked 2,111 The same file — it is already loaded in full.
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 $0.02111 $0.02111
Opus 5 $0.01056 $0.01056
Sonnet 5 $0.00422 $0.00422
Haiku 4.5 $0.00211 $0.00211

Measured 2d ago against content hash 1f7b6a3483c1, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

first-tree AGENTS.md 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.

AGENTS.md · 111 lines

How it starts

The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

first-tree — the unified CLI and infrastructure for agent teams. It is a pnpm monorepo for the CLI, server, client runtime, web app, docs, and agent-team tooling.

What first-tree is NOT:

  • not an LLM agent itself (agent logic lives elsewhere)
  • not an orchestration framework

Tech Stack

  • Server: Fastify / Drizzle ORM / PostgreSQL / Zod
  • Client: fetch + ws (Cloud SDK/observability + generic Runtime + built-in Providers)
  • Command: Commander.js / @inquirer/prompts (unified CLI)
  • Shared: Zod schemas + TypeScript types + config system
  • Web: React 19 / Vite
  • Tooling: pnpm / Turborepo / Biome / Vitest / tsdown
  • Node.js: minimum 22.13, recommended 24

Common Commands

pnpm install
docker compose up -d

pnpm --filter @first-tree/server dev
pnpm --filter @first-tree/web dev

pnpm check && pnpm typecheck
pnpm test

pnpm --filter @first-tree/server db:generate
pnpm --filter @first-tree/server db:migrate

Full CLI commands and env vars live in docs/cli-reference.md. Per-package scripts live in each package's package.json.

Required Reading By Topic

Repo-Local Skills

  • skills/first-tree-write/SKILL.md — source-driven Context Tree authorship
  • skills/first-tree-read/SKILL.md — task-scoped Context Tree reading
  • skills/first-tree-seed/SKILL.md — one-time bootstrap for an empty tree
  • skills/first-tree-qa/SKILL.md — risk-tiered professional QA workflow

Read the full file on GitHub · 111 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 · 111 lines · 2,111 tokens per session scan A 1f7b6a3483c1

Subscribe to this mod's changes

first-tree AGENTS.md is an instructions file published in the GitHub repository first-tree-ai/first-tree (139 stars, last pushed 4d ago), licensed Apache-2.0. It adds 2,111 tokens to every session, about $0.0106 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.

Related

Other instructions, from other repositories

first-tree-legacy AGENTS.md

Instructions for first-tree-ai/first-tree-legacy, covering repository guidelines, project structure & module organization, build, test, and development commands, coding style & naming conventions and testing guidelines.

first-tree-ai/first-tree-legacy · 673 tokens

spec-kit AGENTS.md

AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.

github/spec-kit · 7,104 tokens

codex AGENTS.md

AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.

openai/codex · 5,182 tokens

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 6,785 tokens

langchain AGENTS.md

AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.

langchain-ai/langchain · 4,345 tokens

vscode oss-third-party-notices.instructions.md

Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).

microsoft/vscode · 5,001 tokens