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 open-octo/octo-agent --skill packing-listgit clone --depth 1 https://github.com/open-octo/octo-agentWrote 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/open-octo/octo-agent/packing-list)<a href="https://agentmods.dev/skills/open-octo/octo-agent/packing-list"><img src="https://agentmods.dev/badge/skills/open-octo/octo-agent/packing-list/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/open-octo/octo-agent/packing-list"><img src="https://agentmods.dev/badge/skills/open-octo/octo-agent/packing-list.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00105 | $0.01463 |
| Opus 5 | $0.00053 | $0.00732 |
| Sonnet 5 | $0.00021 | $0.00293 |
| Haiku 4.5 | $0.00011 | $0.00146 |
Grade A, and why
packing-list 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 6d 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
Skill: packing-list
一份好的打包清单不是"衣服、洗漱用品、充电器"这种放之四海而皆准的列表, 是按这次出行的具体情况——去哪、干什么、和谁去——推导出来的。这个技能先 问清楚决定清单内容的变量,再按变量分层生成。
第一步:确定决定清单的变量
- 目的地气候:出行当月的气温范围、是否多雨、湿度、昼夜温差
- 行程类型:城市观光、徒步/户外、商务、海滨度假、滑雪、长途背包等 ——不同类型对装备的要求差别很大
- 人群构成:独自出行、情侣、带娃、带老人——影响需要额外准备的物品 (儿童用品、常用药、辅助行走装备等)
- 行程天数:影响衣物数量和是否需要考虑当地洗衣
- 交通方式:飞机(有行李限重/违禁品规定)还是自驾(限制更少)
- 住宿类型:酒店(提供洗漱用品)还是民宿/露营(可能什么都要自备)
任何一项不清楚就先问,不要用一份通用清单敷衍——"帮我列个行程清单"这种 请求看起来简单,但气候和行程类型不同,清单内容可能完全不一样。
第二步:按分层结构生成清单
# [目的地] 打包清单([天数]天,[行程类型])
## 证件与财务
- [ ] 护照/身份证
- [ ] 签证材料(如需要,参考 visa-checklist)
- [ ] 现金+信用卡
- [ ] 保险单据
## 电子设备
- [ ] 手机+充电器
- [ ] 转换插头(如目的国插座标准不同)
- [ ] 充电宝(注意随身/托运限重规定)
- [ ] [按行程类型追加:相机、行动记录仪等]
## 衣物(按气候+天数推算)
- [ ] [按当地气温给出具体建议:比如"平均气温XX度,建议XX件薄外套+XX件
短袖",而不是笼统的"多带几件衣服"]
- [ ] [按行程类型追加:徒步鞋、泳衣、正装等]
## 洗漱与健康
- [ ] 常规洗漱用品(住酒店可精简,住民宿/露营需要自备齐全)
- [ ] 常用药品(感冒药、肠胃药、晕车药,按目的地卫生条件适当加强)
- [ ] 防晒/驱蚊(按目的地气候和季节判断是否需要)
- [ ] [带娃:儿童常用药、退烧药;带老人:常规处方药备足用量]
## 行程类型专项
- [ ] [户外/徒步:登山杖、头灯、急救包、保暖层]
- [ ] [海滨:泳衣、沙滩巾、防水袋]
- [ ] [滑雪:保暖装备、护目镜(滑雪场可租的装备不用带)]
- [ ] [商务:正装、名片、笔记本电脑]
## 特殊人群
### 带娃
- [ ] 儿童常用药+体温计
- [ ] 娱乐用品(长途交通工具上的安抚物品)
- [ ] 尿布/湿巾(视年龄)
### 带老人
- [ ] 常规处方药(按行程天数备足,建议多备几天用量以防延误)
- [ ] 病历/用药清单(英文版,以防境外就医需要)
- [ ] 舒适度相关装备(颈枕、辅助行走工具)
## 交通限制提醒
- 如果是飞机出行:核对随身/托运行李限重限尺寸、液体限制(100ml装+
透明袋)、锂电池/充电宝的随身携带规定(通常不能托运)
- 如果目的国有特殊入境限制(比如某些国家限制携带特定药品、食品),
提醒用户提前核实
生成原则
- 具体,不笼统。 "带几件衣服"要落到"按当地平均气温给出具体建议", 不是"多带几件"。
- 按行程类型分层,不是一次性列完。 通用类目(证件、电子设备、洗漱) 和行程类型专项(徒步/海滨/滑雪/商务)分开列,避免不相关的装备也塞 进清单里。
- 特殊人群单独成组。 带娃、带老人的额外需求单独列一节,不要混在 通用清单里让用户自己筛。
- 交通/入境限制单独提醒。 液体限制、锂电池托运规定、目的国特殊 入境限制这类"清单之外但同样重要"的信息,单独一节提醒,不要漏掉。
边界
- 具体的气温数据、当季天气特点,用
web_search检索目的地当月的实际 气候数据,不要凭训练知识里的印象给可能过时的季节性描述。 - 不臆造目的国的入境限制细节(比如"某国禁止携带XX药品"这类具体规定) ——这类信息如果需要给出,先检索确认或建议用户核实,不确定就明确说 不确定。
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.
- 6d ago First seen · 103 lines · 105 tokens per session scan A db5039578eef
packing-list is a skill published in the GitHub repository open-octo/octo-agent (97 stars, last pushed yesterday), licensed MIT. It adds 105 tokens to every session and 1,463 once invoked, about $0.0005 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 2026-09-03.
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