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 skills add nuyoah-ai-works/open-nuyoah-skill --skill create-white-block-comicgit clone --depth 1 https://github.com/nuyoah-ai-works/open-nuyoah-skillWrote 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/skills/nuyoah-ai-works/open-nuyoah-skill/create-white-block-comic)<a href="https://agentmods.dev/skills/nuyoah-ai-works/open-nuyoah-skill/create-white-block-comic"><img src="https://agentmods.dev/badge/skills/nuyoah-ai-works/open-nuyoah-skill/create-white-block-comic/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/skills/nuyoah-ai-works/open-nuyoah-skill/create-white-block-comic"><img src="https://agentmods.dev/badge/skills/nuyoah-ai-works/open-nuyoah-skill/create-white-block-comic.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 | $0.00117 | $0.01359 |
| Opus 5 | $0.00059 | $0.00679 |
| Sonnet 5 | $0.00023 | $0.00272 |
| Haiku 4.5 | $0.00012 | $0.00136 |
Grade A, and why
create-white-block-comic 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.
How it starts
The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
白色软块双格漫画
把角色身份、内容、版式和情绪资产分开；换故事不重设计角色。
选择工作流
- 用户已有 active 角色包：读取角色身份和所需锚点，进入“内容转译”。
- 用户没有角色包：进入“首次角色锁定”，确认并登记身份后再生产正式漫画。
- 用户要求修改身份：只修改用户指出的 1–2 个身份轴，候选确认后登记新版本。
- 用户要求补充长期复用的情绪或景别：单独生成，确认后登记为
emotion或anchor。 - 用户只需要 Prompt 或当前没有生图工具：交付完整 Prompt，不创建伪图片、伪清单或伪视觉检查记录。
始终读取 风格与身份系统。处理内容时再读取 双格转译、表情与背景 和 动作与手端。创建或维护角色包时读取 角色资产协议。
上下双格是默认输出合同；用户明确要求单格或其他版式且仍保留白色软块体系时，继续使用本 Skill，并服从用户版式。
首次角色锁定
在当前项目查找 .white-block-comic/config.json。没有 active character 时：
- 读取用户提供的角色描述或参考图，只提取与故事无关的身份特征。
- 用户没有描述时，使用最小假设创建一个新的中性候选；不得调用内置作者角色、署名资产或固定脸部模板。
- 生成独立身份设定页，不带故事、双格文案和复杂道具。
- 检查轮廓、身体连接、身份特征和文字污染，然后等待用户明确确认。
- 确认后使用脚本初始化角色包、登记 identity，并设置 active character。
未确认候选不得登记为 adopted。用户要求直接画故事也不能跳过首次身份确认；这个门槛避免换故事时角色漂移。
内容转译
- 保护用户原文中的事实、态度、人物关系和不可改写句。
- 提取一个可视化核心：
生活判断 + 情绪摩擦 + 荒诞反转。 - 上格建立常识、愿望、问题或表面状态；下格用自嘲、身体化隐喻或荒谬后果收尾。
- 长内容拆成多张双格图，不把所有信息塞进一张。
- 每格顶部只放一段准确文字，通常 1–2 行；不可改写长文案优先保证准确，再换行或拆图。
默认不加第三格、页码、额外标题、空白气泡、署名、水印或作者名。可见互动需要第二角色时，先明确第二角色身份；不要复制、合并或随意变形 active character。
生成与检查
组装完整 Prompt，并明确：
- 3:4 竖版，上下两格面积接近；每格文字在上、画面在下。
- 使用 active identity；近景才叠加相应 anchor，情绪资产只控制对应状态。
- 先规划景别，至少一格可使用胸像、腰部裁切、局部特写或自然出框的大动作。
- 用身体形变、动作、道具和空间表现抽象意思，不靠漂浮装饰符号。
- 背景是能承受动作的场景切片；每格包含角色接触的承载面与一个被画框裁切的空间锚点。
- 线条粗细不均、轻微手抖、带钝折和少量断口；背景与角色共享同一种手绘介质。
- 逐字写入每格文案，并禁止其他文字、署名、水印和角标。
生成后检查：文字、版式、角色身份、身体连接、表情、动作受力、手端、场景关系和多余文字。明显失败只能作为候选或失败记录，不能登记为正式资产或交付为满意版本。
角色资产
项目状态固定保存在 .white-block-comic/，不得写入 Skill 安装目录。角色包创建、资产登记、启用与验证分别使用：
scripts/init_character_pack.pyscripts/register_character_asset.pyscripts/set_active_character.pyscripts/validate_character_pack.py
每个正式 identity、anchor 或 emotion 必须保存独立 PNG、实际使用的完整 Prompt、SHA-256、尺寸、版本号和用户确认说明。新版本保留旧文件，不覆盖。
输出边界
- 有生图工具：生成、检查，再按用户确认状态决定是否登记。
- 只有 Prompt：返回逐图文案、画面动作和完整生成 Prompt，并明确“尚未生成或登记”。
- 工具失败：保存或返回原 Prompt 与真实错误，不擅自改词重试。
- 普通内容反馈不自动修改本 Skill；只有用户明确要求更新 Skill 时才修改真源并运行回归。
What ships with it
19 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- AGENTS.md 1.4 KB
- agents/interface.yaml 663 B
- agents/openai.yaml 279 B
- evals/content_compilation_case.json 628 B
- evals/first_run_case.json 723 B
- evals/semantic_config.json 965 B
- evals/trigger_cases.json 1.3 KB
- manifest.json 470 B
- references/character-assets.md 2.7 KB
- references/character-pack.schema.json 1.2 KB
- references/expression-background.md 1.9 KB
- references/gesture-hands.md 1.7 KB
- references/story-to-two-panel.md 2.6 KB
- references/style-system.md 3.0 KB
- scripts/init_character_pack.py 2.0 KB runs code
- scripts/register_character_asset.py 5.4 KB runs code
- scripts/set_active_character.py 2.3 KB runs code
- scripts/validate_character_pack.py 4.9 KB runs code
- tests/run_contract_tests.py 7.2 KB runs code
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 · 79 lines · 117 tokens per session scan A 2f328a25f832
create-white-block-comic is a skill published in the GitHub repository nuyoah-ai-works/open-nuyoah-skill (10 stars, last pushed 1mo ago), licensed MIT. It adds 117 tokens to every session and 1,359 once invoked, about $0.0006 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 2026-08-31.
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