packing-list SKILL.md skillB
packing-list from open-octo/octo-agent is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add open-octo/octo-agent/packing-list@git:20260901.0e8af02Pins git:20260901.0e8af02 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- B, 16 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- open-octo/octo-agent
- Path
internal/skills/experts/packing-list/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260901.0e8af02, committed Sep 1, 2026
- Size
- 4,800 bytes
- Repository stars
- 140
- License
- MIT
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file 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 ```markdown # [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） …
Read the whole file at its exact version.
How to install
mdr add open-octo/octo-agent/packing-list@sha256:db5039578eef7593The line at the top of this page pins the label git:20260901.0e8af02, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_u7uptljnluuw3slv)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 1, 2026.
Audit of the latest version
- fail: Frontmatter declares a description
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Size between 200 bytes and 200 KB (4800 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Starting a new one? Use a template for SKILL.md on mdpantry, which passes every one of these checks and says what to change in it.
Source
open-octo/octo-agent · 140 stars · license MIT · pushed 2026-11-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_u7uptljnluuw3slv GET https://markdownregistry.com/api/v1/resolve?ref=open-octo/octo-agent/packing-list GET https://markdownregistry.com/api/v1/blob/db5039578eef7593fe15634a9307f5ec1e5761ed7b3f687bb4ca62ce7ee647b4
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
More from open-octo/octo-agent
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