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.
npx agentmods add instructions/tt-11-dd/tether-ai/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.svg" alt="Measured on agentmods" 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 | $0.00695 | $0.00695 |
| Opus 5 | $0.00347 | $0.00347 |
| Sonnet 5 | $0.00139 | $0.00139 |
| Haiku 4.5 | $0.00069 | $0.00069 |
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 5d 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）；停止保留排队，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.
- 5d 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 (76 stars, last pushed 2d ago), licensed MIT. It adds 695 tokens to every session, about $0.0035 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.
Other instructions, from other repositories
pi-effect-harness AGENTS.md
Instructions for mpsuesser/pi-effect-harness, covering agents.md — pi-effect-harness, layout, verification, where to look for common changes and conventions.
pi-anthropic-auth AGENTS.md
AGENTS.md instructions for gotgenes/pi-anthropic-auth, covering agents guide: pi-anthropic-auth, project, primary goal, current status and principles.
Accordion AGENTS.md
Instructions for a-Fig/Accordion, a project described as: 🏆 AI Hackathon 2026 @ UC Berkeley Intelligent context management for developers.
sofagent GEMINI.md
Gemini CLI instructions for KongFangXun/sofagent, covering gemini.md · sofagent gemini cli 适配（薄挂载）, 会话开始时按序加载（四层加载链）, 审计强制（平台无关） and 连接 mcp server.
STAR AGENTS.md
AGENTS.md instructions for wanghao9610/STAR, covering agent instructions, 1. think before coding, 2. simplicity first, 3. surgical changes and 4. goal-driven execution.
clawock AGENTS.md
AGENTS.md instructions for KCNyu/clawock, covering agents.md - your workspace, every session, kcn 偏好, git hook (one-time setup per clone) and git auto-commit rules.