Borrowing it
Nothing to install: this file belongs to tt-11-dd/tether-ai. 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/tt-11-dd/tether-ai/main/AGENTS.mdgit clone --depth 1 https://github.com/tt-11-dd/tether-aiWrote 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/tt-11-dd/tether-ai/agents-md)<a href="https://agentmods.dev/instructions/tt-11-dd/tether-ai/agents-md"><img src="https://agentmods.dev/badge/instructions/tt-11-dd/tether-ai/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/tt-11-dd/tether-ai/agents-md"><img src="https://agentmods.dev/badge/instructions/tt-11-dd/tether-ai/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 | $0.00732 | $0.00732 |
| Opus 5.5 | $0.00293 | $0.00293 |
| Sonnet 5.5 | $0.00146 | $0.00146 |
| Haiku 4.5 | $0.00073 | $0.00073 |
Grade A, and why
tether-ai 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 1mo 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.
What it actually says
Tether
面向仓库的 AI 编程桌面工作台。Agent 循环、沙箱、会话在 npm 包 tether-agent-core；本仓库只做 Electron 壳和中文工作流界面。
地图
- 产品说明与架构：README.md
- 主进程（窗口 / IPC / 权限 / 工作区）：src/main/index.ts
- RPC 子进程宿主：src/main/agent-host.ts
- 界面状态：src/renderer/App.tsx
- 组件：src/renderer/ui.tsx
- 会话归并：src/renderer/conversation.ts
- IPC 契约：src/shared/types.ts
- 长任务协议：
.agents/skills/init-long-run、.agents/skills/continue-long-run、.agents/skills/plan-then-act - 界面气质（改 CSS / 组件 / 克隆同款工作台）：
.agents/skills/tether-ui（Cursor 侧同步.cursor/skills/tether-ui）
Agent Skills
Skills 由 Pi 运行时加载（Tether 不另写 loader）。标准路径：
| 范围 | 路径 |
|---|---|
| 项目（需信任） | .agents/skills/<name>/SKILL.md、.pi/skills/<name>/SKILL.md |
| 用户全局 | ~/.tether/skills/<name>/SKILL.md、~/.agents/skills/<name>/SKILL.md |
每个 skill 目录一个 SKILL.md，frontmatter 需含 name 与 description（Pi 校验，缺项不会加载）。
- 调用：输入
/skill:名称；输入/时也会列出当前会话已加载的 skill - 查看：设置 → Agent Skills（展示路径与已加载列表）
- 项目 skill 需先信任项目；
@文件引用仅扫描项目内.agents/skills与.pi/skills
约定
- 新对话必须先选项目；绑定 cwd，发第一条消息才
startAgent。 - 生成中回车进入排队（最多 5 条，不入会话文件）；当前回合正常结束后自动发出队首。停止或出错会暂停队列，界面上可以继续发送或对单条立即插话（运行中走
steer）。换对话/项目清空。/命令不进队。 - 权限：
plan/ask/auto/full。有项目时sandbox: workspace-write。 - 跨会话进度写在
.agents/features.json和.agents/progress.md，不要只写在聊天里。 features.json只改passes，不要删条目或改description。- 面向用户的文案用简体中文；代码、路径、命令保持原文。
检查
macOS / Linux:
pnpm test
pnpm typecheck
Windows PowerShell:
pnpm test
pnpm typecheck
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.
- 1mo ago Changed · +37 tokens per session fcae4fc33819
- 1mo ago First seen · 56 lines · 695 tokens per session scan A ae2cc070980e
tether-ai AGENTS.md is an instructions file published in the GitHub repository tt-11-dd/tether-ai (95 stars, last pushed 19d ago), licensed MIT. It adds 732 tokens to every session, about $0.0029 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 2026-08-30.
Other instructions, from other repositories
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).
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.