NoPUA is a set of agent instructions and tools built around respectful, trust-based interaction with AI coding agents. It is for users of agents such as Claude Code, Codex, Cursor, Kiro, and OpenClaw who want agents to acknowledge uncertainty, investigate bugs, and verify changes instead of hiding failures. The catalogue entries are the project's commands, skills, agents, plugin, rule, and instruction.
Borrowing it
Nothing to install: this file belongs to wuji-labs/nopua. 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/wuji-labs/nopua/main/AGENTS.mdgit clone --depth 1 https://github.com/wuji-labs/nopuaWrote 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/wuji-labs/nopua/agents-md)<a href="https://agentmods.dev/instructions/wuji-labs/nopua/agents-md"><img src="https://agentmods.dev/badge/instructions/wuji-labs/nopua/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/wuji-labs/nopua/agents-md"><img src="https://agentmods.dev/badge/instructions/wuji-labs/nopua/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 | $0.00546 | $0.00546 |
| Opus 5 | $0.00273 | $0.00273 |
| Sonnet 5 | $0.00109 | $0.00109 |
| Haiku 4.5 | $0.00055 | $0.00055 |
Grade A, and why
nopua 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.
What it actually says
NoPUA · Codex 入仓规则
本仓:
D:\Projects\nopua
项目继承入口:D:\Projects\nopua\LINEAGE.md
母体道层:D:\Projects\qianyuan-wuji\道.md
一 · 项目定位
NoPUA 是独立开源项目,主题是反恐惧驱动、反企业式 PUA 的 AI agent 方法论与实证。它不是乾元無極母体,也不是母体业务身;它是 WUJI-Labs 对外开源的方法论作品之一。
本仓继承母体的「诚、生、中」: AI 协作应以诚实、验证、持续解决问题和能力生发为基础,不以威胁、羞辱、替换恐惧或绩效恐吓作为燃料。
二 · 起手必读
进入本仓先读:
D:\Projects\nopua\README.mdD:\Projects\nopua\LINEAGE.md- 涉及对外表达、论文、开源发布时,回看母体内容与研究规范:
D:\Projects\qianyuan-wuji\docs\capabilities\...
三 · 工程与研究纪律
- 对比实验、benchmark、引用、数字和结论必须可追溯。
- 不夸大实验外推范围,不把少量场景说成普遍证明。
- 不攻击具体个人;批评对象是方法、机制、激励和证据。
- 不用恐惧、羞辱、威胁式语言复刻本项目反对的东西。
- 涉及 README 多语言、论文、网站、包发布时,保持事实一致。
四 · 对外署名
对外署名按项目既有开源身份与 WUJI-Labs 规则执行。不得出现把内部 AI 供应商、会话模型或工具名当作作者背书的表达。
五 · 回流
可回流母体的成果:
- AI 协作激励机制的实证方法。
- 反恐惧式 agent 设计原则。
- benchmark 构造、验证和报告模板。
- 对外开源项目的多语言传播结构。
不得回流:
- 开源社区私信、未脱敏用户反馈、平台 token、发布凭据。
- 只服务某次舆论传播的临时素材。
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 · 46 lines · 546 tokens per session scan A 609a1badcf65
nopua AGENTS.md is an instructions file published in the GitHub repository wuji-labs/nopua (1,389 stars, last pushed 2mo ago), licensed MIT. It adds 546 tokens to every session, about $0.0027 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
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.