Borrowing it
Nothing to install: this file belongs to nuyoah-ai-works/nuyoah-xiezhen-prompt. 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/nuyoah-ai-works/nuyoah-xiezhen-prompt/main/AGENTS.mdgit clone --depth 1 https://github.com/nuyoah-ai-works/nuyoah-xiezhen-promptWrote 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/nuyoah-ai-works/nuyoah-xiezhen-prompt/agents-md)<a href="https://agentmods.dev/instructions/nuyoah-ai-works/nuyoah-xiezhen-prompt/agents-md"><img src="https://agentmods.dev/badge/instructions/nuyoah-ai-works/nuyoah-xiezhen-prompt/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/nuyoah-ai-works/nuyoah-xiezhen-prompt/agents-md"><img src="https://agentmods.dev/badge/instructions/nuyoah-ai-works/nuyoah-xiezhen-prompt/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 | $0.00375 | $0.00375 |
| Opus 5 | $0.00187 | $0.00187 |
| Sonnet 5 | $0.00075 | $0.00075 |
| Haiku 4.5 | $0.00038 | $0.00038 |
Grade A, and why
nuyoah-xiezhen-prompt 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 12d 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
南鸢写真提示词 Skill 约定
真源与发行
- 本目录是唯一可编辑真源；独立 GitHub 仓库和知识站下载只接收白名单生成的发行快照。
- 当前公开许可证为 MIT，版本从
1.1.0开始。历史会员版1.0.0不改写、不覆盖，也不重新使用该版本号。 - 每次公开发布必须同步更新
SKILL.md的metadata.version与CHANGELOG.md，并通过scripts/release_public_skill.py --skill nuyoah-xiezhen-prompt构建。
行为保护
- 普通提示词请求默认不生图；只有用户明确要求才进入真实生成。
- 身份参考只决定人物身份，写真参考决定妆发、服装、场景、光线、事件与成像。
- 重做必须回到原始输入重新编译；生成图只用于诊断，除非用户明确要求编辑上一张。
- 没有图片生成工具时必须降级为 Prompt 与摄影方案交付，不得伪造生成结果。
- Eagle、个人知识库、私有路径和其他个人 Skill 不得成为公开包的必要依赖。
验证
- 修改后运行合同测试、YAO 结构校验、触发正反近邻评测与仓库检查。
- 公开构建必须通过白名单、安全扫描、版本与许可证门禁；正式发布还需干净真源、公开仓库和发行物回读。
- 结构测试不等于真实生图回归；涉及生图行为变化时，另做真实生成与原作对照验收。
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.
- 12d ago First seen · 22 lines · 375 tokens per session scan A aa8125c1803a
nuyoah-xiezhen-prompt AGENTS.md is an instructions file published in the GitHub repository nuyoah-ai-works/nuyoah-xiezhen-prompt (716 stars, last pushed 17d ago), licensed MIT. It adds 375 tokens to every session, about $0.0019 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.
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