Borrowing it
Nothing to install: this file belongs to nuyoah-ai-works/nuyoah-image-reverse-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-image-reverse-prompt/main/AGENTS.mdgit clone --depth 1 https://github.com/nuyoah-ai-works/nuyoah-image-reverse-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-image-reverse-prompt/agents-md)<a href="https://agentmods.dev/instructions/nuyoah-ai-works/nuyoah-image-reverse-prompt/agents-md"><img src="https://agentmods.dev/badge/instructions/nuyoah-ai-works/nuyoah-image-reverse-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-image-reverse-prompt/agents-md"><img src="https://agentmods.dev/badge/instructions/nuyoah-ai-works/nuyoah-image-reverse-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 | $0.00681 | $0.00681 |
| Opus 5 | $0.00341 | $0.00341 |
| Sonnet 5 | $0.00136 | $0.00136 |
| Haiku 4.5 | $0.00068 | $0.00068 |
Grade A, and why
nuyoah-image-reverse-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
南鸢图片反推 Skill 约定
真源
nuyoah-skills/skills/nuyoah-image-reverse-prompt/是本 Skill 的唯一可编辑真源。- 生图工作知识库中的原路径只保留软链接；用户级安装也只允许指向本目录，不在入口位置维护副本。
- 公开仓库和知识站 ZIP 都是由本目录生成的只读发行物，不得反向覆盖真源。
范围
- 普通调用只输出图片类型、按类型逐项展开的字段级拆解、参考色卡、适用时的“成像签名”和可直接复制的中文生图提示词。
- 所有面向用户展示的区块标题和字段名必须使用中文，不得出现英文、拼音、下划线字段或中英并列标题；英文内部键只允许存在于用户明确要求的机器记录中。
- 每个有证据的字段必须独立成节；不得再压缩为笼统的“画面结构拆解”列表。
- 完整 prompt 必须覆盖所有会改变生成结果的已展示字段，并按生成优先级排列。
- 当前图片能读取真实像素尺寸时，画幅比例必须由宽高计算；只有没有尺寸信息时才允许视觉估算。
- 反推不能停在底层现象描述；当多项证据共同构成稳定成像签名时，必须先按“固有属性、光线、曝光、后期/渲染”分层，再归纳成受控复合术语。
- 复合术语必须带必要证据、排除条件和清晰度边界；证据不足时退回窄描述，不猜术语。
- 真人摄影时尚海报使用自己的公开控制字段，不把摄影人像字段和海报字段全部叠加；默认描述文字的层级、位置、字重和遮挡功能，不复刻具体文案，除非用户明确要求保留文字。
- 不接入外部反推服务，不保留第三方复刻模式，不输出额外的姿态分析附件。
- 生图与返图对比只用于用户明确要求的 Skill 校准，不是普通调用步骤。
- 自更新只在用户明确点名更新“南鸢图片反推 Skill”时触发；维护者私有真源不得被公开发行版覆盖。
维护
- 只把跨图片可复用的类型路由、观察字段、提示词顺序和失败防线写入参考文件。
- 单张图片的服装、人物、姿势、道具、颜色和场景不得沉淀为默认值。
- 修改后检查正例、反例、近邻触发，并至少回归真人摄影、动漫插画、海报设计三个类型。
- 每次公开发布必须更新
SKILL.md的metadata.version，先验证公开仓库和知识站不可变发行包，再推进最新版本清单。 - 结构调整或重要更新同步项目根目录
工作记录.md。
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 · 30 lines · 681 tokens per session scan A f07dfa2a6df1
nuyoah-image-reverse-prompt AGENTS.md is an instructions file published in the GitHub repository nuyoah-ai-works/nuyoah-image-reverse-prompt (85 stars, last pushed 1mo ago), licensed MIT. It adds 681 tokens to every session, about $0.0034 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
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