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.
curl -O https://raw.githubusercontent.com/dinhtungdu/tangerine/main/AGENTS.mdgit clone --depth 1 https://github.com/dinhtungdu/tangerineWrote 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.
[](https://agentmods.dev/instructions/dinhtungdu/tangerine/agents-md)<a href="https://agentmods.dev/instructions/dinhtungdu/tangerine/agents-md"><img src="https://agentmods.dev/badge/instructions/dinhtungdu/tangerine/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/dinhtungdu/tangerine/agents-md"><img src="https://agentmods.dev/badge/instructions/dinhtungdu/tangerine/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once 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 |
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.
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
- Read
specs/architecture.mdandspecs/v0-scope.md bun installbun link(maketangerineavailable globally)bun run checkbefore 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
Related Projects
- orange:
~/workspace/orange/— workflow engine (future integration) - External ACP adapters: Claude Agent, Codex ACP, OpenCode ACP, Pi, or custom commands
Rules
- Bun runtime,
bun:testfor 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. Usetask.type(worker/reviewer/runner) as the source of truth for task behavior — capabilities are derived from type inmanager.ts. Add new capabilities inshared/types.ts→ assign by type inmanager.ts→ check in UI. - Never prompt a running worker with new scope:
/promptis 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), editskills/<name>/SKILL.mdin this repo — not~/.claude/skills/. The repo is the source of truth. - Daemon vs foreground startup:
tangerine startruns 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 indaemon.ts(the launcher), notstart.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.
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.
- 2mo ago First seen · 111 lines · 1,671 tokens per session scan A 9616f230bbc5
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.
tangerine AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| tangerine AGENTS.mddinhtungdu/tangerine | Instructions file | 5 | 5mo ago | MIT | A | 1,671 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |