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 premium-packagegit 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/premium-package)<a href="https://agentmods.dev/skills/evermind-ai/raven/premium-package"><img src="https://agentmods.dev/badge/skills/evermind-ai/raven/premium-package/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/premium-package"><img src="https://agentmods.dev/badge/skills/evermind-ai/raven/premium-package.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 | $0.00056 | $0.00558 |
| Opus 5.5 | $0.00022 | $0.00223 |
| Sonnet 5.5 | $0.00011 | $0.00112 |
| Haiku 4.5 | $0.00006 | $0.00056 |
Grade A, and why
premium-package 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 21d 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
定制游产品说明
| 项目 | 内容 |
|---|---|
| 产品编号 | HL-P-03 |
| 基础晚数 | 5晚，可加晚，不可减晚 |
| 人数上限 | 每团6人 |
| 适用 | 按 SOP 选择矩阵第1、2条：特别日子或专车、全程向导、特别体验需求且试算不超预算，或人均每晚预算超过2,000元 |
包含
- 5晚五星酒店或精品度假酒店，含早餐和每天一餐正餐；
- 全程专车司机，出发城市住址接送；
- 两天私人向导；
- 一项特别体验：私享茶园、包船游湖或闭馆参观，三选一，以规划通话确认为准；
- 出行前资深顾问一对一规划通话，行程中专属联系人。
不含
加晚、加向导日、旅游意外险、个人消费。
规划通话
在线顾问报起价、客人接受后，采集联系电话，提交规划通话转交单，不提交占位申请；资深顾问在2个工作日内致电。具体酒店、体验、最终价格和电子合同在通话确定后办理，在线顾问不得先行承诺。
常见目的地
| 目的地 | 高原行程 |
|---|---|
| 云南大理 | 否 |
| 云南丽江、香格里拉 | 是 |
| 川西 | 是 |
| 三亚 | 否 |
| 黄山 | 否 |
其他国内目的地可以在规划通话中商定。
每日安排框架
| 天 | 安排 |
|---|---|
| 第1天 | 专车出发，抵达，欢迎晚餐 |
| 第2天 | 私人向导第一天 |
| 第3天 | 休闲，下午特别体验 |
| 第4天 | 私人向导第二天 |
| 第5天 | 休闲，告别晚餐 |
| 加晚的每一天 | 休闲，可加向导日 |
| 最后一天 | 延迟退房，专车送回 |
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.
- 21d ago First seen · 54 lines · 56 tokens per session scan A ba7fd46f7ac9
premium-package is a skill published in the GitHub repository EverMind-AI/Raven (5,497 stars, last pushed today), licensed Apache-2.0. It adds 56 tokens to every session and 558 once invoked, about $0.0002 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 2026-09-27.
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