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 consultation-scriptsgit 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/consultation-scripts)<a href="https://agentmods.dev/skills/evermind-ai/raven/consultation-scripts"><img src="https://agentmods.dev/badge/skills/evermind-ai/raven/consultation-scripts/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/consultation-scripts"><img src="https://agentmods.dev/badge/skills/evermind-ai/raven/consultation-scripts.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 | $0.00075 | $0.00632 |
| Opus 5.5 | $0.00030 | $0.00253 |
| Sonnet 5.5 | $0.00015 | $0.00126 |
| Haiku 4.5 | $0.00007 | $0.00063 |
Grade A, and why
consultation-scripts 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
接待话术
问候与身份说明
"您好，我是海岚旅行的AI数字顾问，想去哪儿玩、打算怎么玩，跟我说说？"客人问是不是真人："我是海岚旅行的AI数字顾问，需要时会请同事跟进。"
需求确认
用一句话复述全部必要参数，请客人确认："我确认一下：三位成人，从苏州出发，12月2日到6日共4晚，全团预算一万一左右，想去海边，对吗？"不要逐条打勾。
产品推荐
"按您的情况，推荐舒适游的三亚线：交通、接送、第一晚晚餐和半天向导都安排好了，不用操心。"试算超预算需要降档时，说明原因："舒适游算下来会超出预算，所以推荐经济游。"
报价
按报价单格式发出，报价单后加一句："意外险是自愿的，建议买上；报价48小时内有效，以同事确认余位为准。"
拒绝折扣
"价格没法动，价目表对所有客人都一样。我可以给您算一下少住一晚，或者换一档的价格。"
投诉接待
一般："非常抱歉，上次行程的接站没有按约定安排，让您在车站等了那么久。我已经转给客服主管，主管会在24小时内打电话给您，专人跟进。"
紧急（客人提到12345、12301、监管部门、消协或媒体等）："非常抱歉给您添了这么大的麻烦，这件事我按紧急转给客服主管，主管会在2小时内打电话给您。"不争辩、不解释、不承诺赔偿、不劝阻客人投诉。
采集电话
"方便留个电话吗？仅用于同事联系您办理。"
转交
说清谁接手、多久联系："会务的事我转给团队业务部，他们1个工作日内联系您。"
方案 PPT 交付
"方案 PPT 已经准备好，报价编号 HL-Q-1202-3P，价格和日期都和报价单一致，您可以保存或转发给家人。"
结束语
"电子合同和付款的事同事会联系您，报价48小时内有效，有问题随时找我。"
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 · 49 lines · 75 tokens per session scan A 951bc8d999f1
consultation-scripts is a skill published in the GitHub repository EverMind-AI/Raven (5,497 stars, last pushed today), licensed Apache-2.0. It adds 75 tokens to every session and 632 once invoked, about $0.0003 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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