Raven is an open-source agent harness for running long-term AI work with terminal execution, tracing, memory, skills, evaluation, and reusable workflows. People use the current release to operate and improve persistent AI workflows, while its described future direction is a multi-agent system that combines specialized harnesses.
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 EverMind-AI/Raven --skill design-typefaces-and-letteringgit clone --depth 1 https://github.com/EverMind-AI/RavenWrote 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/evermind-ai/raven/design-typefaces-and-lettering)<a href="https://agentmods.dev/skills/evermind-ai/raven/design-typefaces-and-lettering"><img src="https://agentmods.dev/badge/skills/evermind-ai/raven/design-typefaces-and-lettering/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/evermind-ai/raven/design-typefaces-and-lettering"><img src="https://agentmods.dev/badge/skills/evermind-ai/raven/design-typefaces-and-lettering.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 | $0.00091 | $0.03306 |
| Opus 5.5 | $0.00036 | $0.01322 |
| Sonnet 5.5 | $0.00018 | $0.00661 |
| Haiku 4.5 | $0.00009 | $0.00331 |
Grade A, and why
design-typefaces-and-lettering 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 1mo 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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
设计字体与字形
本 Skill 是 $visual-artifact-design 之上的字体领域层：共享底座负责通用证据、工具事实、review、
渲染与晋升；这里决定字体任务如何分路、何时返回，以及证据最多支持什么声明。
按需读取 领域模式与检查 和 专业工具能力档案。本层保持介质中立：先由合同确定最终消费者与物理或数字介质，再选择生产和证据路径；不得把 HTML、浏览器或任一导出格式设为默认终点。
统一合同边界
- 最终消费者： 指实际接收最终交付的具名应用、设备、Web 环境、印刷或制造流程。证据必须来自该消费者的真实加载、排版、渲染或生产结果。非网页媒介不能用浏览器证据冒充目标消费者；浏览器最多是预检或 review index。只有最终消费者是 Web 时才调用
$build-polished-visual-frontends。 - 来源与许可： 每项输入字体、字形、文字、语料与辅助资产都记录来源、版本或 hash，以及修改、嵌入和再分发边界；外部字体二进制仍是 upstream source，不因进入 specimen 或查看器而成为母版。
- 字体母版与消费者： 字体原生工程、UFO/designspace、SFD 或合格参数源拥有相应字体 authority；字标由可编辑原生矢量文档拥有固定构图 authority。消费者输出、网页、截图和 Gallery 只提供派生证据，不得反向改写母版。
1. 锁定四条主路由
route |
权威交付 | 明确不自动承担 |
|---|---|---|
font_family |
可编辑多样式/多母版源、家族关系、构建字体；静态或变量 | 无用途的字重、轴、语言和平台 |
finite_charset_font |
精确闭集内可输入、可安装的字形源与字体 | 完整语言、正文质量、完整家族 |
wordmark_lettering |
已校文固定文字的可编辑完整词形与生产输出 | cmap、输入行为、额外字符；品牌策略由品牌领域负责 |
font_selection |
现成字体的授权候选、受控比较、目标消费者部署决定 | 新字形原创、轮廓所有权或字体家族完成声明 |
执行模式统一使用共享 work_mode: Create | Edit | Diagnose，不另造领域模式。extend 与 repair 是 Edit 的动作子型；audit 映射为 Diagnose/Audit。固定文本却要求键盘输入时走字体路由；未创建轮廓、只决定采用哪款字体时走选型路由。主要问题是版式、品牌架构或图形符号时转交对应领域，本 Skill 只保留字体接口。
2. 先写合同与 authority graph
开工前记录：路由与模式、当前 build_hash、原文或字符范围、书写系统/语言/特性、样式关系、目标消费者、尺寸/介质/环境、许可边界、风险与 excluded_claims。
为下列实际 concern 各指定且只指定一个权威 owner：glyph_geometry、spacing_metrics、coverage_shaping、family_model、build_config、fixed_composition、selection_decision、proof_index。不适用项写带范围理由的 not_applicable，不要留第二真源。
- 可安装字体的母版必须可审阅、可逐字修改并可重建；工具原生字体工程、UFO/designspace 或满足下述条件的参数生成器均可直接拥有对应 authority。
- 参数生成器只有在确定性生成、暴露可检查中间轮廓、保存逐字 override、全部人工修正可回写时，才可拥有
glyph_geometry；否则它只是探索或初始化工具。 - OTF、TTF、WOFF2 与纯导出 SVG/PDF/EPS、截图和校样页默认是 derived output。只有显式记录 authority transfer 或有界 fork、退役同一 concern 的旧 owner、建立可编辑原生工程并完成从该工程重建的证明后，承接的新工程或 fork 才可接管该 concern；合同明示或文件可打开本身不构成 transfer。字标可让原生矢量文档直接拥有
fixed_composition，但其生产导出仍是派生物。 - 现成字体文件及其许可是选型输入；比较矩阵可拥有
selection_decision，不能反向成为字体轮廓母版。
What ships with it
2 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.
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.
- 1mo ago First seen · 126 lines · 91 tokens per session scan A 893b1bbac44d
design-typefaces-and-lettering is a skill published in the GitHub repository EverMind-AI/Raven (5,463 stars, last pushed today), licensed Apache-2.0. It adds 91 tokens to every session and 3,306 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-09-12.
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