Borrowing it
Nothing to install: this file belongs to jubaoliang/OctopPet. 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/jubaoliang/OctopPet/master/AGENTS.mdgit clone --depth 1 https://github.com/jubaoliang/OctopPetWrote 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/jubaoliang/octoppet/agents-md)<a href="https://agentmods.dev/instructions/jubaoliang/octoppet/agents-md"><img src="https://agentmods.dev/badge/instructions/jubaoliang/octoppet/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/jubaoliang/octoppet/agents-md"><img src="https://agentmods.dev/badge/instructions/jubaoliang/octoppet/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 | $0.03643 | $0.03643 |
| Opus 5 | $0.01821 | $0.01821 |
| Sonnet 5 | $0.00729 | $0.00729 |
| Haiku 4.5 | $0.00364 | $0.00364 |
Grade A, and why
OctopPet 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 9d 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 — 290 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Navigation guide for AI coding agents working in octop-pet.
1. Collaboration principles
Favor caution over speed; trivial tasks may relax these rules.
Think before writing
- State assumptions up front; ask when unsure — do not guess.
- When multiple interpretations exist, list them and let the user choose.
- Suggest simpler approaches when they exist; stop when blocked and name what is unclear.
Simplicity first
- Write the minimum code that solves the problem; no unrequested features or abstractions.
- Do not add defensive error handling for scenarios that cannot realistically happen.
- Trim the diff when it grows unnecessarily large.
Surgical edits
- Touch only lines directly related to the task; do not opportunistically clean up nearby code.
- Do not refactor working code or unify style just because it differs from yours.
- Remove orphan imports, variables, and functions you introduced.
Verifiable outcomes
- Turn tasks into verifiable goals (what to test, which command proves success).
- Before saying "done", provide verification evidence; the default ship bar is
make allgreen.
2. What this is
Octop Pet — desktop companion for a remote Octop server.
- Tauri 2 (Rust): tray, multi-window, config, keyring, global shortcuts
- React 19 + TypeScript + Vite: pet, chat, and settings surfaces in one SPA
- Runtime dependency: a reachable Octop HTTP/WebSocket API — no Octop source tree at runtime
Design specs:
3. Tech stack
| Layer | Technology |
|---|---|
| Desktop | Tauri 2, Rust stable |
| UI | React 19, TypeScript, Vite 7 |
| HTTP | @tauri-apps/plugin-http (Tauri) / fetch (Vitest) |
| WebSocket | Browser WebSocket in chat window |
| Config | JSON file via Rust config_cmd + @tauri-apps/plugin-store |
| Secrets | Rust secrets_cmd → OS keyring |
| Markdown | react-markdown + remark-gfm |
| Frontend tests | Vitest 3, Testing Library, jsdom |
| Rust tests | cargo test in src-tauri/tests/ |
| CI | GitHub Actions — Ubuntu (ci.yml: test + typecheck + cargo) + tag release (release.yml: macOS ×2 + Windows ×2) |
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.
- 9d ago First seen · 290 lines · 3,643 tokens per session scan A f944ef84c159
OctopPet AGENTS.md is an instructions file published in the GitHub repository jubaoliang/OctopPet (10 stars, last pushed 6d ago), licensed MIT. It adds 3,643 tokens to every session, about $0.0182 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.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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.
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).
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).
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.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.