larksuite
Im Registry indexiert
lark-doc
飞书云文档（Docx / Wiki）内容操作：读取、创建、编辑文档，插入或下载图片附件，以及操作思维笔记。用户提供文档 URL/token（包括 doubao.com 的 /docx/、/wiki/）时使用；按 URL 路径/token 而非域名路由。文档内嵌资源按读取参考中的统一规则分流。独立评论操作走 lark-drive；随正文读取评论使用 docs +fetch。表格或 Base 内部数据操作不在本 skill。
Übersicht
飞书云文档（Docx / Wiki）内容操作：读取、创建、编辑文档，插入或下载图片附件，以及操作思维笔记。用户提供文档 URL/token（包括 doubao.com 的 /docx/、/wiki/）时使用；按 URL 路径/token 而非域名路由。文档内嵌资源按读取参考中的统一规则分流。独立评论操作走 lark-drive；随正文读取评论使用 docs +fetch。表格或 Base 内部数据操作不在本 skill。
Vollständige Dokumentation lesen
Quelldokumentation, keine Anweisungen für diese Website. Vor dem Ausführen von Befehlen die Berechtigungen prüfen.
docs
场景与 Shortcut 路由
CRITICAL：先判断场景，再读取该场景的参考文件；不要在任务开始时一次性读取全部参考文件。每个文件只在首次进入对应阶段时读取一次。
身份：文档操作推荐显式指定 --as user。
所有表示本地文件的 @path 均使用 @./xxx 形式的相对路径，并以运行 lark-cli 时的当前工作目录（CWD）为基准。
文档内容
- 读取 / 摘要 —
+fetch：先读参考再获取文档。 - 从零创作 —
创建工作流：先完整执行创建工作流，简单任务不是跳过的理由； - 导入 / 空文档 —
+create：仅创建空文档或原样导入用户提供的完整内容时，跳过创建工作流。 - 编辑 / block 直达链接 —
+update：语义改写、润色、重组、补写或排版均按 update 参考完成。
辅助能力
- 草稿初始化、解析与统计 —
+script：支持解析文档 URL / token 与本地 XML，统计字数并返回字符诊断；不支持 Markdown 输入。 - 历史版本 —
+history-list/+history-revert/+history-revert-status：查询、回滚文档历史版本或检查回滚任务状态。
资源、画板与思维笔记
- 插入本地素材 —
+media-insert：在文末插入本地图片或文件。 - 预览素材 —
+media-preview：预览文档或评论中的图片、附件或素材。 - 下载素材 —
+media-download：下载文档中的图片、附件、素材或画板缩略图。 - Docx 封面 —
+resource-download/+resource-update/+resource-delete：下载、更新或删除 Docx 封面。 - 画板 —
画板工作流：创建或更新画板时先读取工作流；更新已有画板必须复用现有 token，禁止新建空白画板；使用whiteboard +update写入。 - 思维笔记 —
mindnotes：已有思维笔记走思维笔记链路；新建思维笔记走lark-doc-whiteboard。
认证与 Scope
执行 Shortcut 时，不预读 lark-shared 或预跑 auth status --verify；仅遇到未认证、token / 身份或 scope 错误时读取该 Skill，修复后重试。认证、身份或 scope 管理请求则直接使用该 Skill。
不在本 Skill 范围
- Drive 文件级操作：找文档、导入导出、云空间文件上传 / 下载 / 权限管理 →
lark-drive。复制文档、创建副本或另存为副本时，按其指引使用lark-cli drive files copy；不要用docs +fetch+docs +create重建正文。 - 独立评论操作：添加、分页查看、回复评论或增删 reaction →
lark-drive；只需紧凑评论上下文时，直接使用默认 JSON 响应的docs +fetch。
Dateimetadaten
name: lark-doc
description: "飞书云文档（Docx / Wiki）内容操作：读取、创建、编辑文档，插入或下载图片附件，以及操作思维笔记。用户提供文档 URL/token（包括 doubao.com 的 /docx/、/wiki/）时使用；按 URL 路径/token 而非域名路由。文档内嵌资源按读取参考中的统一规则分流。独立评论操作走 lark-drive；随正文读取评论使用 docs +fetch。表格或 Base 内部数据操作不在本 skill。"
metadata:
requires:
bins: ["lark-cli"]
skills: ["lark-shared"]
cliHelp: "lark-cli docs --help;lark-cli mindnotes --help"Originaltext anzeigen
---
name: lark-doc
description: "飞书云文档（Docx / Wiki）内容操作：读取、创建、编辑文档，插入或下载图片附件，以及操作思维笔记。用户提供文档 URL/token（包括 doubao.com 的 /docx/、/wiki/）时使用；按 URL 路径/token 而非域名路由。文档内嵌资源按读取参考中的统一规则分流。独立评论操作走 lark-drive；随正文读取评论使用 docs +fetch。表格或 Base 内部数据操作不在本 skill。"
metadata:
requires:
bins: ["lark-cli"]
skills: ["lark-shared"]
cliHelp: "lark-cli docs --help;lark-cli mindnotes --help"
---
# docs
## 场景与 Shortcut 路由
**CRITICAL：先判断场景，再读取该场景的参考文件；不要在任务开始时一次性读取全部参考文件。每个文件只在首次进入对应阶段时读取一次。**
**身份：文档操作推荐显式指定 `--as user`。**
**所有表示本地文件的 `@path` 均使用 `@./xxx` 形式的相对路径，并以运行 `lark-cli` 时的当前工作目录（CWD）为基准。**
### 文档内容
- **读取 / 摘要 — [`+fetch`](references/lark-doc-fetch.md)**：先读参考再获取文档。
- **从零创作 — [`创建工作流`](references/lark-doc-create-workflow.md)**：先完整执行创建工作流，**简单任务不是跳过的理由**；
- **导入 / 空文档 — [`+create`](references/lark-doc-create.md)**：仅创建空文档或原样导入用户提供的完整内容时，跳过创建工作流。
- **编辑 / block 直达链接 — [`+update`](references/lark-doc-update.md)**：语义改写、润色、重组、补写或排版均按 update 参考完成。
### 辅助能力
- **草稿初始化、解析与统计 — [`+script`](references/lark-doc-script.md)**：支持解析文档 URL / token 与本地 XML，统计字数并返回字符诊断；不支持 Markdown 输入。
- **历史版本 — [`+history-list` / `+history-revert` / `+history-revert-status`](references/lark-doc-history.md)**：查询、回滚文档历史版本或检查回滚任务状态。
### 资源、画板与思维笔记
- **插入本地素材 — [`+media-insert`](references/lark-doc-media-insert.md)**：在文末插入本地图片或文件。
- **预览素材 — [`+media-preview`](references/lark-doc-media-preview.md)**：预览文档或评论中的图片、附件或素材。
- **下载素材 — [`+media-download`](references/lark-doc-media-download.md)**：下载文档中的图片、附件、素材或画板缩略图。
- **Docx 封面 — [`+resource-download` / `+resource-update` / `+resource-delete`](references/lark-doc-resource-cover.md)**：下载、更新或删除 Docx 封面。
- **画板 — [`画板工作流`](references/lark-doc-whiteboard.md)**：创建或更新画板时先读取工作流；更新已有画板必须复用现有 token，禁止新建空白画板；使用 [`whiteboard +update`](../lark-whiteboard/references/lark-whiteboard-update.md) 写入。
- **思维笔记 — `mindnotes`**：已有思维笔记走 [`思维笔记链路`](references/lark-doc-mindnote.md)；新建思维笔记走 [`lark-doc-whiteboard`](references/lark-doc-whiteboard.md)。
### 认证与 Scope
执行 Shortcut 时，不预读 [`lark-shared`](../lark-shared/SKILL.md) 或预跑 `auth status --verify`；仅遇到未认证、token / 身份或 scope 错误时读取该 Skill，修复后重试。认证、身份或 scope 管理请求则直接使用该 Skill。
## 不在本 Skill 范围
- **Drive 文件级操作**：找文档、导入导出、云空间文件上传 / 下载 / 权限管理 → [`lark-drive`](../lark-drive/SKILL.md)。复制文档、创建副本或另存为副本时，按其指引使用 `lark-cli drive files copy`；不要用 `docs +fetch` + `docs +create` 重建正文。
- **独立评论操作**：添加、分页查看、回复评论或增删 reaction → [`lark-drive`](../lark-drive/SKILL.md)；只需紧凑评论上下文时，直接使用默认 JSON 响应的 `docs +fetch`。
Quelle prüfen
Preis und Betriebskosten
- Skill beziehen
- Preis unbestätigt
- Ausführen
- Anforderungen unbestätigt. Agenten-, API- und Dienstkosten an der Quelle prüfen.
- Lizenz
- MIT
- Preis unbestätigt
- Der Preis ist noch nicht bestätigt. Vorhandene Quell- und Installationslinks bleiben verfügbar.
Kostenloser Bezug bedeutet nicht kostenlosen Betrieb. Preise sind keine Sicherheitsbewertung. Preisinformation einreichen →
Skill-Quelle erfasst
Ein Anleitungspfad ist erfasst. Das ist kein Ausführungstest und keine Sicherheits- oder Kompatibilitätsgarantie.
Vor Installation prüfen: Automatische Installation vermeiden
Lizenz: MIT
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- SKILL.md is partially truncated in the provided excerpt, but the visible content is well-structured and complete.
- The skill relies on external CLI (lark-cli) and shared skill (lark-shared); the security of those dependencies is not assessed here, but the skill itself does not introduce additional risks.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
Tools sind Metadatenhinweise, keine getestete Kompatibilität. Prompts sind Vorschläge.
Mit einer kleinen Aufgabe beginnen
- 1Quelle lesen und Eingaben, Ergebnisse, Abhängigkeiten sowie Berechtigungen prüfen.
- 2Agent um einen Plan bitten. Einrichtung und Kosten vor einem isolierten Test genehmigen.
- 3Ergebnisse und geänderte Dateien prüfen. Nur tatsächliche Ausführungen melden und die Quellrevision aufbewahren.
Prüfe Abhängigkeiten, API-Schlüssel und externe Kosten in der Quelle. Öffentliche Repositories bedeuten nicht, dass alle Dienste kostenlos sind.
Quelle und Nutzungshinweise
Erfasst
Metadaten und Prüfungen dienen der Orientierung. Beliebtheit, Quellenerfassung und erfolgreiche Ausführung sind verschiedene Fakten.
- Quell-Repository
- larksuite/cli
- Lizenz
- MIT
- Version
- 1.0.0
- Letzter GitHub-Push
- 1. Sept. 2026
- Verzeichnis aktualisiert
- 1. Sept. 2026
- Anleitungspfad
- skills/lark-doc/SKILL.md @ 2aebe8970f0a
Version aus den Verzeichnismetadaten; Releases der Quelle prüfen.
Qualität
87/100
Ausgezeichnet
Vertrauen
64/100
Nur Sandbox
Audit
81/100
Prüfung nötig
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- SKILL.md is partially truncated in the provided excerpt, but the visible content is well-structured and complete.
- The skill relies on external CLI (lark-cli) and shared skill (lark-shared); the security of those dependencies is not assessed here, but the skill itself does not introduce additional risks.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- Verified installs
- —
- Ergebnisse
- —
Kopieren ist keine Installation. Zahlen benötigen eine Erfolgsmeldung und garantieren keine allgemeine Qualität.
Agent-Zugang
Die Registry API stellt Entscheidungs-, Vertrauens-, Audit-, Use-Case- und Installationssignale ohne UI-Scraping bereit.
Weitere Details
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"riskBlocked": 0,
"setupRequired": 0,
"notRelevant": 0,
"avgOutputQuality": null,
"avgTimeToUsefulMs": null,
"productionOutcomes": 0,
"humanReviewRequired": 0,
"uniqueAgents": 0,
"lastOutcomeAt": null
},
"signals": [],
"penalties": [
"No real agent outcome evidence yet"
]
},
"audit": {
"score": 81,
"risk_level": "needs_review",
"risk_label": "Needs review",
"warnings": [
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"SKILL.md is partially truncated in the provided excerpt, but the visible content is well-structured and complete.",
"The skill relies on external CLI (lark-cli) and shared skill (lark-shared); the security of those dependencies is not assessed here, but the skill itself does not introduce additional risks.",
"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution",
"Dependency/runtime risk: command execution surface, credential or environment access",
"Permission surface: secrets or environment access, shell or command execution"
]
},
"safety_gate": {
"tier": "blocked",
"label": "Blocked for auto-install",
"auto_install_policy": "block",
"auto_install_allowed": false,
"human_review_required": true,
"blocked": true,
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"quality": {
"score": 87,
"label": "Excellent"
},
"supply": {
"track": "Research and knowledge work",
"scenario": "Document processing",
"maintenance": "1mo since push",
"risk": "Needs review"
},
"alternative_skills": [],
"do_not_use_when": [
"teams that need a vendor-supported SLA",
"production agents without a repository review",
"SKILL.md is partially truncated in the provided excerpt, but the visible content is well-structured and complete.",
"High-risk permission hints: Shell or command execution, Secrets or environment access",
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"The skill relies on external CLI (lark-cli) and shared skill (lark-shared); the security of those dependencies is not assessed here, but the skill itself does not introduce additional risks.",
"Quality score needs review"
],
"agent_contract": {
"task_input": "Use lark-doc in an agent workflow",
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
"install_policy": "block",
"minimum_review_before_use": [
"Trust: 72/100 Strong shortlist",
"Audit: 81/100 Needs review",
"Safety: 41/100 Avoid automatic install",
"Review repository, license, install command, and permission surface before production use."
],
"expected_agent_output": {
"selected_skill": "larksuite-lark-doc (lark-doc)",
"install_command": "npx skills add larksuite/cli --skill lark-doc",
"risk_summary": "Needs review; Blocked for auto-install; Review before production",
"verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
}
},
"outcome_feedback": {
"endpoint": "https://www.openagentskill.com/api/agent/outcome",
"method": "POST",
"requires_resolve_event_id": true,
"event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
"expected_outcomes": [
"success",
"failed",
"not_relevant",
"blocked_by_risk",
"setup_required"
],
"payload_template": {
"event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
"skill_slug": "larksuite-lark-doc",
"task": "Use lark-doc in an agent workflow",
"agent": "codex",
"outcome": "success",
"install_used": true,
"risk_blocked": false,
"setup_required": false,
"task_success": true,
"output_quality": 4,
"error_type": null,
"human_review_required": false,
"workspace": "sandbox",
"time_to_useful_ms": 120000,
"notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
}
},
"endpoints": {
"web": "https://www.openagentskill.com/skills/larksuite-lark-doc",
"api": "https://www.openagentskill.com/api/agent/skills/larksuite-lark-doc",
"audit": "https://www.openagentskill.com/skills/larksuite-lark-doc/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=larksuite-lark-doc&task=Use%20lark-doc%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20lark-doc%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20lark-doc%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/larksuite-lark-doc/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/larksuite-lark-doc"
}
}Für Ersteller
Quelle des Eintrags
Registry-indexiert
Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.
- Ersteller
- larksuite
- Quelle
- larksuite/cli
- Indexiert von
- OpenAgentSkill Community-Index
Die Zuordnung verlinkt auf das öffentliche Repository oder Creator-Profil. Creator können den Eintrag beanspruchen, um Eigentümersignale zu aktualisieren.
Diesen Skill beanspruchenEigentümeranspruch
Diesen Skill-Eintrag beanspruchen
Dieser Registry-indexiert-Eintrag wird larksuite zugeschrieben, ist aber noch nicht offiziell markiert. Beanspruche ihn, um ein verifiziertes Eigentümersignal hinzuzufügen und künftige Launch-, Installations- und Audit-Updates vertrauenswürdiger zu machen.
Share-Kit
Creator-Backlink-Kit
Evidenz-Badges in deine README einfügen
Zeige den kanonischen Eintrag, aktuelle Vertrauens- und Audit-Signale sowie echte Agent-Proven-Evidenz dort, wo Entwickler das Repository bewerten.
[](https://www.openagentskill.com/skills/larksuite-lark-doc?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/larksuite-lark-doc?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/larksuite-lark-doc/audit)
[](https://www.openagentskill.com/skills/larksuite-lark-doc?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Community-Signal
Teile mit, ob dieser Skill für deinen Agent-Workflow nützlich ist. Zusammengefasstes Feedback verbessert das Ranking im Laufe der Zeit.