tangerine: Instructions file for Codex

AGENTS.md

tangerine AGENTS.md is an instructions file for Codex, OpenCode from dinhtungdu/tangerine. It costs 1,671 tokens per session, scanned A, original, MIT.

Repository-specific instructions for Tangerine, a local platform that runs coding agents and provides a web dashboard. They describe its packages, server, web interface, specifications, and task management design.

In plain words
What is it for?
For developing Tangerine’s server, dashboard, shared packages, agent runtime, integrations, database, and task workflows.
Why use it?
They give an agent the project structure, setup commands, and design decisions it needs to make compatible changes. They also explain that tasks use Git worktrees for isolation.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: reads .claude/ paths; mentions Codex; mentions OpenCode.

This is dinhtungdu/tangerine's own configuration. It tells Codex and OpenCode how to work on tangerine itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything tangerine configures →

Reuse

Borrowing it

Nothing to install: this file belongs to dinhtungdu/tangerine. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/dinhtungdu/tangerine/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/dinhtungdu/tangerine

Made for: Codex, OpenCode.

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Per session 1,671 This file is loaded in full into every session.
When invoked 1,671 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.01671 $0.01671
Opus 5.5 $0.00668 $0.00668
Sonnet 5.5 $0.00334 $0.00334
Haiku 4.5 $0.00167 $0.00167

Measured 2mo ago against content hash 9616f230bbc5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

tangerine 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 2mo 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.

Tangerine

Local background coding agent platform. Configured ACP-compatible local agents + web dashboard.

Setup

  1. Read specs/architecture.md and specs/v0-scope.md
  2. bun install
  3. bun link (make tangerine available globally)
  4. bun run check before commit

Structure

packages/
  shared/src/      # @tangerine/shared — types, config schema, constants
  server/src/
    api/           # Hono server (REST + WebSocket + test/webhook routes)
    agent/         # ACP client runtime + configured agent command abstraction
    tasks/         # Task lifecycle, cleanup, health, retry, PR/worktree management
    integrations/  # GitHub webhook handler + polling
    db/            # SQLite schema + queries
web/
  src/             # Vite + React dashboard
specs/             # Architecture and design docs
skills/            # Agent skill definitions (tangerine-tasks, platform-setup)

Key Decisions

  • ACP-only: configured ACP-compatible commands behind one AgentFactory abstraction
  • Local-server architecture: agents spawn locally, not in per-project VMs
  • Git worktrees for task isolation
  • Project-agnostic: each project defines setup + test commands
  • Multiplayer-ready data model (user_id nullable for v0)
  • Local-first, upgradeable to hosted
  • orange: ~/workspace/orange/ — workflow engine (future integration)
  • External ACP adapters: Claude Agent, Codex ACP, OpenCode ACP, Pi, or custom commands

Rules

  • Bun runtime, bun:test for tests
  • No any
  • Commits: type(scope): msg
  • Comments explain "why" not "what"
  • Keep specs up to date: When changing architecture, DB schema, APIs, or agent providers, update the corresponding file in specs/. Specs are the source of truth for design decisions — stale specs cause bugs.
  • Spec-first for new features: New features or architecture changes → write/update the spec before coding. Bug fixes, small refactors, spikes → code first, update specs if architecture changed. At the start of each task, ask: "Does this need a spec update first?"
  • Gate UI on capabilities, not titles: Use task.capabilities.includes("feature") to show/hide UI features per task type. Use task.type (worker/reviewer/runner) as the source of truth for task behavior — capabilities are derived from type in manager.ts. Add new capabilities in shared/types.ts → assign by type in manager.ts → check in UI.
  • Never prompt a running worker with new scope: /prompt is only for unblocking or clarifying a worker's existing scope. New or unrelated requirements must go in a new task — never tacked onto a running one via /prompt.
  • Skills live in skills/: When updating agent skills (tangerine-tasks, platform-setup), edit skills/<name>/SKILL.md in this repo — not ~/.claude/skills/. The repo is the source of truth.
  • Daemon vs foreground startup: tangerine start runs as a detached daemon — the server process (start.ts) writes stdout/stderr to the log file, not the terminal. Anything a user needs to see at startup (errors, warnings, URLs) must be printed in daemon.ts (the launcher), not start.ts. When touching startup output or checks, ask: "Will the user see this in daemon mode?"
  • No inline duplication: If the same logic appears in more than one place, extract it into a shared module immediately. Don't copy-paste and adjust — find the right abstraction level and put it there once.

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. 2mo ago First seen · 111 lines · 1,671 tokens per session scan A 9616f230bbc5

Subscribe to this mod's changes

tangerine AGENTS.md is an instructions file published in the GitHub repository dinhtungdu/tangerine (5 stars, last pushed 5mo ago), licensed MIT. It adds 1,671 tokens to every session, about $0.0067 per session on Opus 5.5. 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

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