hand-drawn-styles is a tool-independent library of prompt recipes for applying predefined hand-drawn visual styles to image concepts. It is for AI agents that need to produce ready-to-copy image prompts without changing the requested subject or generating the image themselves. Its catalogue skill and instruction make these recipes available to coding agents.
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/threerocks/hand-drawn-styles/agents-mdgit clone --depth 1 https://github.com/threerocks/hand-drawn-stylesWrote 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/threerocks/hand-drawn-styles/agents-md)<a href="https://agentmods.dev/instructions/threerocks/hand-drawn-styles/agents-md"><img src="https://agentmods.dev/badge/instructions/threerocks/hand-drawn-styles/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 5.1 | $0.00522 | $0.00522 |
| Opus 5 | $0.00261 | $0.00261 |
| Sonnet 5 | $0.00104 | $0.00104 |
| Haiku 4.5 | $0.00052 | $0.00052 |
Grade A, and why
hand-drawn-styles 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 6d 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
AGENTS.md
供读取 AGENTS.md 的 Agent 工具使用(OpenAI Codex CLI、Gemini CLI、Cursor、Jules 等)。
手绘风格生图提示词能力
当用户希望生成"手绘 / 插画风格"的图像、或要一段对应的生图提示词时:
- 按 PROTOCOL.md 的 5 步流程执行(确定画风 → 取配方 → 自动填占位符 → 处理比例 → 输出 prompt)。
- 画风模板从 STYLES.md 取。
- 能执行脚本时优先用
scripts/render_prompt.py,禁止手工缩写、同义改写或混入业务项目自定义画风规则。 - 风格 3.1 的正式生产、多页或连续故事必须完整消费渲染器 JSON 中的三阶段
workflow:基础生成后依次执行scribble-correction与scribble-chaos-correction;前两阶段不可作为 final,任一阶段缺失时停止生产。 - 其他画风默认只输出最终 prompt 纯文本;风格 3.1 正式生产输出
family-crayon-card-v3JSON 调用包。不要生图。
维护者验证例外
当用户明确要求新增、升级或验收仓库中的画风时,可在维护流程中调用图像模型做多轮样图验证。此例外只用于研发和验收,不改变本项目面向普通使用者“只输出 prompt”的能力边界。
维护者验证必须:
- 先固定参考图、测试场景和判定维度,再开始出图。
- 每轮只针对已观察到的稳定偏差修改配方,保留可复核的候选样图。
- 至少验证参考图同构场景与一个跨主体场景,不能凭单张满意图入库。
- 最终入库图片必须使用
sweety-image-privacy清理 EXIF、GPS、来源字段和 macOS 来源扩展属性,并保留审计结果。
想用在你自己的项目里:安装整个 skill 并按画风编号调用。不要只复制某几句配方,也不要在业务项目维护第二份画风真源。
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.
- 6d ago First seen · 27 lines · 522 tokens per session scan A 62178a265ceb
hand-drawn-styles AGENTS.md is an instructions file published in the GitHub repository threerocks/hand-drawn-styles (1,090 stars, last pushed yesterday), licensed MIT. It adds 522 tokens to every session, about $0.0026 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
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).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
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.
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.
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).