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 value-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/value-package)<a href="https://agentmods.dev/skills/evermind-ai/raven/value-package"><img src="https://agentmods.dev/badge/skills/evermind-ai/raven/value-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/value-package"><img src="https://agentmods.dev/badge/skills/evermind-ai/raven/value-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 | $0.00044 | $0.00441 |
| Opus 5.5 | $0.00018 | $0.00176 |
| Sonnet 5.5 | $0.00009 | $0.00088 |
| Haiku 4.5 | $0.00004 | $0.00044 |
Grade A, and why
value-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
经济游产品说明
| 项目 | 内容 |
|---|---|
| 产品编号 | HL-P-01 |
| 基础晚数 | 3晚，可加晚，不可减晚 |
| 人数上限 | 每团8人 |
| 适用 | 人均每晚预算不超过500元的客人（按 SOP 选择矩阵） |
包含
- 3晚经济型酒店或精品青旅双人间，含早餐；
- 出发城市往返高铁二等座或经济舱；单程超过6小时的，首末日为交通日；可加购高铁一等座升级；
- 第2天上午半日徒步导览一次；
- 目的地城市交通卡一张；
- 行程方案 PPT 一份，行程中紧急联系电话。
不含
午餐和晚餐、交通卡以外的门票、旅游意外险、接送站（可加购）。
目的地清单
| 目的地 | 高原行程 |
|---|---|
| 厦门 | 否 |
| 成都 | 否 |
| 西安 | 否 |
| 桂林 | 否 |
| 黄山（屯溪） | 否 |
每日安排框架
| 天 | 安排 |
|---|---|
| 第1天 | 上午高铁出发，入住；下午按交通卡地图自由活动 |
| 第2天 | 上午半日徒步导览，下午自由活动 |
| 第3天 | 使用交通卡周边一日游 |
| 加晚的每一天 | 自由活动 |
| 最后一天 | 延迟退房，下午高铁返回 |
每日安排只写到框架这一层，不写具体餐馆、景点开放时间或价格。
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 · 48 lines · 44 tokens per session scan A c8f00b534706
value-package is a skill published in the GitHub repository EverMind-AI/Raven (5,497 stars, last pushed today), licensed Apache-2.0. It adds 44 tokens to every session and 441 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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