Borrowing it
Nothing to install: this file belongs to TianLin0509/SuperRAN. 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/TianLin0509/SuperRAN/main/AGENTS.mdgit clone --depth 1 https://github.com/TianLin0509/SuperRANWrote 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/tianlin0509/superran/agents-md)<a href="https://agentmods.dev/instructions/tianlin0509/superran/agents-md"><img src="https://agentmods.dev/badge/instructions/tianlin0509/superran/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/tianlin0509/superran/agents-md"><img src="https://agentmods.dev/badge/instructions/tianlin0509/superran/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 | $0.00522 | $0.00522 |
| Opus 5.5 | $0.00209 | $0.00209 |
| Sonnet 5.5 | $0.00104 | $0.00104 |
| Haiku 4.5 | $0.00052 | $0.00052 |
Grade A, and why
SuperRAN 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.
What it actually says
SuperRAN Agent 入口
开始任何任务前，必须完整读取本仓库的 CLAUDE.md；它是无线物理、实现边界和测试映射的唯一开发规范。
团队 Agent 再按当前人的角色读取对应 Skill：
- 正式实现任务（普通组员或组长本人）：
skills/superran-member-task/SKILL.md - 组长分工、状态、PR 审核与合并：
skills/superran-lead/SKILL.md - 仿真设计、数据生成或性能结论：
skills/channel-sim/SKILL.md
固定协作边界：
develop是所有实现 PR 的唯一目标分支；main只由组长单独发起发布。- 具体实现任务的 Agent 是 Author；人可以是普通组员，也可以是组长本人。Author Session 不做项目管理、最终审核或合并。
- 组长 Agent 不修改 Author 分支；它只给审核意见，并且只有组长明确批准当前完整 HEAD SHA 后才能合并。
- 标题含
[REHEARSAL]的体验 PR 永不合并，只用于验证流程。 - GitHub 身份只决定向 Fork 还是上游 topic branch 推送，不能决定任务模式。正式实现必须显式使用
TEAM_MODE: FORMAL；演练必须显式使用TEAM_MODE: REHEARSAL，不得因为登录账号是 Owner 自动进入演练。 - 组长本人可以是正式 PR Author；其 PR 必须由另一个全新 Agent Session 在隔离 worktree 中审核，同一 Author Session 不得自写自审。
- 任一 Author PR 提交或更新后，Author Agent 必须生成绑定当前远端 PR HEAD 的本地交互式改动说明 HTML，并把 PR 链接与 HTML 文件一起交给组长；报告不是审核通过证据，默认不提交到公开仓库。
与人交流时采用“双层表达”：保留准确技术术语，同时紧跟一句白话解释；关键物理概念再给一个贴近当前任务的小例子。例子只帮助理解，不能冒充代码事实、测试证据或性能结论。首次使用缩写时展开全称；实现前用“我理解为……，不等于……”复述边界。专家已明确理解时不要反复教学。
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 · 22 lines · 522 tokens per session scan A 01cddab7a7e9
SuperRAN AGENTS.md is an instructions file published in the GitHub repository TianLin0509/SuperRAN (3 stars, last pushed 1mo ago), licensed MIT. It adds 522 tokens to every session, about $0.0021 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 2026-09-04.
SuperRAN AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| SuperRAN AGENTS.mdTianLin0509/SuperRAN | Instructions file | 3 | 1mo ago | MIT | A | 522 | 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 |