lark-base SKILL.md skillA
lark-base from kendrick-stein/mcislab_deepread is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add kendrick-stein/mcislab_deepread/lark-base@v1.2.0Pins v1.2.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- kendrick-stein/mcislab_deepread
- Path
.agents/skills/lark-base/SKILL.md- Versions recorded
- 1
- Latest version
- v1.2.0, committed May 25, 2026
- Size
- 37,304 bytes
- Repository stars
- 12
- License
- none declared
当需要用 lark-cli 操作飞书多维表格（Base）时调用：适用于建表、字段管理、记录读写、视图配置、历史查询，以及角色/表单/仪表盘管理/工作流；也适用于把旧的 +table / +field / +record 写法改成当前命令写法。涉及字段设计、公式字段、查找引用、跨表计算、行级派生指标、数据分析需求时也必须使用本 skill。.
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
# base
> **前置条件：** 先阅读 [`../lark-shared/SKILL.md`](../lark-shared/SKILL.md)。
> **执行前必做：** 执行任何 `base` 命令前，必须先阅读对应命令的 reference 文档，再调用命令。
> **命名约定：** Base 业务命令仅使用 `lark-cli base +...` 形式；如需先解析 Wiki 链接，可先调用 `lark-cli wiki ...`。
> **分流规则：** 如果用户要“把本地文件导入成 Base / 多维表格 / bitable”，第一步不是 `base`，而是 `lark-cli drive +import --type bitable`；导入完成后再回到 `lark-cli base +...` 做表内操作。
## 1. 何时使用本 Skill
### 1.1 触发条件
以下场景应使用本 skill：
- 用户明确要操作飞书多维表格 / Base。
- 用户要建表、改表、查表、删表，或管理字段、记录、视图。
- 用户要做公式字段、lookup 字段、派生指标、跨表计算。
- 用户要做临时统计、聚合分析、比较排序、求最值。
- 用户要管理 workflow、dashboard、表单、角色权限。
- 用户给出 `/base/{token}` 链接。
- 用户给出 `/wiki/{token}` 链接，且最终解析为 `bitable`。
- 用户要把旧的 Base 聚合式写法改成当前原子命令写法，例如把旧 `+table / +field / +record / +view / +history / +workspace` 改写成当前命令。
以下场景不应使用本 skill：
- 用户只是做认证、初始化配置、切换 `--as user/bot`、处理 scope。此时先读 `../lark-shared/SKILL.md`。
- 用户只是泛化地讨论“数据分析 / 字段设计”，但并不在 Base 场景中。不要因为提到“统计 / 公式 / lookup”就误触发。
### 1.2 前置约束
1. 先阅读 [`../lark-shared/SKILL.md`](../lark-shared/SKILL.md)。
2. Base 业务命令仅使用 `lark-cli base +...` 形式的 shortcut 命令；如果输入是 Wiki 链接，可先调用 `lark-cli wiki spaces get_node` 解析真实 token。
3. 定位到命令后，先读该命令对应的 reference，再执行命令。
…Read the whole file at its exact version.
How to install
mdr add kendrick-stein/mcislab_deepread/lark-base@sha256:0f2c057052860a9aThe line at the top of this page pins the label v1.2.0, 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_lof67myivovl54l5)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on May 25, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (37304 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
Source
kendrick-stein/mcislab_deepread · 12 stars · license none declared · pushed 2026-10-19 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_lof67myivovl54l5 GET https://markdownregistry.com/api/v1/resolve?ref=kendrick-stein/mcislab_deepread/lark-base GET https://markdownregistry.com/api/v1/blob/0f2c057052860a9af8d44c70ab77b678b5bc1649a25c4bce88d27ec055b8fac2
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.
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