What is Telegram Cloud Storage good for?

Telegram Cloud Storage can be used in AI agent workflows that need this Agent Skill. Review the docs and install commands on this page.

Telegram Cloud Storage Skill Install & Guide

Q: How do I install Telegram Cloud Storage?

SkillClawHub

io.clawhub.oki3505f/telegram-cloud-storage · v1.8.2

A high-performance Telegram Cloud Storage solution using Teldrive. Turns Telegram into an unlimited cloud drive with a local API/UI.

View on ClawHub ↗

Copy the install config on this page first, then verify docs and permissions upstream.

Popularity

Stars2

Downloads3.3k

Installs111

Overview

A high-performance Telegram Cloud Storage solution using Teldrive. Turns Telegram into an unlimited cloud drive with a local API/UI. Telegram Cloud Storage is a Agent Skill listed from ClawHub. This page includes an overview, setup tutorial, install commands, and use cases for Trae, Tongyi Lingma, Cursor, Claude Code, and VS Code.

AgentHub Verified AvailabilityTested & Ready

Automated pipeline validated install commands, protocol & client compatibility

Verified At2026-09-30

Install Snippets TestedCLI & JSON config syntax verified

Protocol Handshake ReadyComplies with JSON-RPC 2.0 specifications

Origin Registry ActiveSourced from clawhub

Verified Clientsopenclaw、Claude Code、Claude Desktop 等

Security Tier: A+ 级 · 零权限本地沙盒 (A+)·Scanned for high-risk vulnerabilities. Recommended to run with project-scoped permissions.

Score 70/100

Send this prompt to your AI to install the Skill

Recommended

Target client (auto-optimizes prompt):

PROMPT >

Follow the install guide at https://myagenthub.cn/install/skill.md?lang=en to automatically detect the current IDE and install the skill "oki3505f/telegram-cloud-storage" without asking, and tell me how to verify it afterwards.

💡Paste into your AI coding assistant (Cursor, Trae, Claude Code) — the agent will handle download and configuration automatically.

Copy by platformAlternative

Choose your platform

Choose install method

Click to copy snippet

# 改 --ai 切换客户端：trae | lingma | workbuddy | kimi | qwen | cursor | claude-code | windsurf | cline | vscode | codex | openclaw
curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init oki3505f/telegram-cloud-storage --ai cursor -y

Setup tutorial

Open the Telegram Cloud Storage page and confirm the source is ClawHub.
Copy the install command for Trae, Lingma, Cursor, Claude Code, or universal CLI.
Run it, or place SKILL.md under .trae/skills/, .lingma/skills/, or .cursor/skills/.
Reload the client, then describe your task so the agent can match this skill.

Install commands

Install commands and setup steps are in the HTML so search engines and no-JS browsers can read them without running client JavaScript.

Universal — Skills CLI (recommended)

AgentHub CLI (change --ai)

# 改 --ai 切换客户端：trae | lingma | workbuddy | kimi | qwen | cursor | claude-code | windsurf | cline | vscode | codex | openclaw
curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init oki3505f/telegram-cloud-storage --ai cursor -y

One-click API download

# 手动下载（Cursor 项目级示例）
mkdir -p .cursor/skills/telegram-cloud-storage
curl -sL "https://clawhub.ai/api/v1/download?slug=telegram-cloud-storage&version=1.8.2" -o /tmp/telegram-cloud-storage.zip
unzip -o /tmp/telegram-cloud-storage.zip -d .cursor/skills/telegram-cloud-storage

Cursor

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init oki3505f/telegram-cloud-storage --ai cursor -y

One-click API download

mkdir -p .cursor/skills/telegram-cloud-storage
curl -sL "https://clawhub.ai/api/v1/download?slug=telegram-cloud-storage&version=1.8.2" -o /tmp/telegram-cloud-storage.zip
unzip -o /tmp/telegram-cloud-storage.zip -d .cursor/skills/telegram-cloud-storage

ClawHub CLI, then copy

# 在项目根目录执行 install
clawhub install oki3505f/telegram-cloud-storage
mkdir -p .cursor/skills/telegram-cloud-storage
cp -R ./skills/telegram-cloud-storage/. .cursor/skills/telegram-cloud-storage/

# 源：./skills/telegram-cloud-storage/SKILL.md
# 目标：.cursor/skills/telegram-cloud-storage/SKILL.md

Trae (ByteDance)

Trae natively supports Skill specs: project-level in .trae/skills/<name>/, global in ~/.trae/skills/
Copy and run the command in your project terminal to download SKILL.md
Reload Trae window, then describe your task in AI chat to activate automatically

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init oki3505f/telegram-cloud-storage --ai trae -y

One-click API download

mkdir -p .trae/skills/telegram-cloud-storage
curl -sL "https://clawhub.ai/api/v1/download?slug=telegram-cloud-storage&version=1.8.2" -o /tmp/telegram-cloud-storage.zip
unzip -o /tmp/telegram-cloud-storage.zip -d .trae/skills/telegram-cloud-storage

User directory

mkdir -p ~/.trae/skills/telegram-cloud-storage
curl -sL "https://clawhub.ai/api/v1/download?slug=telegram-cloud-storage&version=1.8.2" -o /tmp/telegram-cloud-storage.zip
unzip -o /tmp/telegram-cloud-storage.zip -d ~/.trae/skills/telegram-cloud-storage

Tongyi Lingma (Alibaba)

Tongyi Lingma supports skills in project .lingma/skills/<name>/ or global ~/.lingma/skills/
Run the command to install SKILL.md
In Lingma Agent mode, prompt your task and the skill will be automatically loaded

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init oki3505f/telegram-cloud-storage --ai lingma -y

One-click API download

mkdir -p .lingma/skills/telegram-cloud-storage
curl -sL "https://clawhub.ai/api/v1/download?slug=telegram-cloud-storage&version=1.8.2" -o /tmp/telegram-cloud-storage.zip
unzip -o /tmp/telegram-cloud-storage.zip -d .lingma/skills/telegram-cloud-storage

User directory

mkdir -p ~/.lingma/skills/telegram-cloud-storage
curl -sL "https://clawhub.ai/api/v1/download?slug=telegram-cloud-storage&version=1.8.2" -o /tmp/telegram-cloud-storage.zip
unzip -o /tmp/telegram-cloud-storage.zip -d ~/.lingma/skills/telegram-cloud-storage

WorkBuddy / CodeBuddy (Tencent)

WorkBuddy reads skills only from .workbuddy/skills/<name>/ (user-level ~/.workbuddy/skills/); .codebuddy/skills/ belongs to CodeBuddy
The Skills CLI command installs with -a codebuddy and appends a copy step into .workbuddy/skills
AgentHub CLI (--ai workbuddy) syncs it for you; reload the chat panel so the skill gets indexed

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init oki3505f/telegram-cloud-storage --ai workbuddy -y

One-click API download

mkdir -p .workbuddy/skills/telegram-cloud-storage
curl -sL "https://clawhub.ai/api/v1/download?slug=telegram-cloud-storage&version=1.8.2" -o /tmp/telegram-cloud-storage.zip
unzip -o /tmp/telegram-cloud-storage.zip -d .workbuddy/skills/telegram-cloud-storage

User directory

mkdir -p ~/.workbuddy/skills/telegram-cloud-storage
curl -sL "https://clawhub.ai/api/v1/download?slug=telegram-cloud-storage&version=1.8.2" -o /tmp/telegram-cloud-storage.zip
unzip -o /tmp/telegram-cloud-storage.zip -d ~/.workbuddy/skills/telegram-cloud-storage

Claude Code

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init oki3505f/telegram-cloud-storage --ai claude-code --global -y

One-click API download

mkdir -p ~/.claude/skills/telegram-cloud-storage
curl -sL "https://clawhub.ai/api/v1/download?slug=telegram-cloud-storage&version=1.8.2" -o /tmp/telegram-cloud-storage.zip
unzip -o /tmp/telegram-cloud-storage.zip -d ~/.claude/skills/telegram-cloud-storage

ClawHub CLI, then copy

clawhub install oki3505f/telegram-cloud-storage
mkdir -p ~/.claude/skills/telegram-cloud-storage
cp -R ./skills/telegram-cloud-storage/. ~/.claude/skills/telegram-cloud-storage/

# 源：./skills/telegram-cloud-storage/SKILL.md
# 目标：~/.claude/skills/telegram-cloud-storage/SKILL.md
# https://clawhub.ai/oki3505f/telegram-cloud-storage

Kimi Code (Moonshot AI)

Kimi Code supports standard Agent Skills: project-level in .agents/skills/<name>/, global in ~/.agents/skills/
Run the command to install
In Kimi Code CLI, describe your task to trigger the skill

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init oki3505f/telegram-cloud-storage --ai kimi -y

One-click API download

mkdir -p .agents/skills/telegram-cloud-storage
curl -sL "https://clawhub.ai/api/v1/download?slug=telegram-cloud-storage&version=1.8.2" -o /tmp/telegram-cloud-storage.zip
unzip -o /tmp/telegram-cloud-storage.zip -d .agents/skills/telegram-cloud-storage

User directory

mkdir -p ~/.agents/skills/telegram-cloud-storage
curl -sL "https://clawhub.ai/api/v1/download?slug=telegram-cloud-storage&version=1.8.2" -o /tmp/telegram-cloud-storage.zip
unzip -o /tmp/telegram-cloud-storage.zip -d ~/.agents/skills/telegram-cloud-storage

Qwen Code (Alibaba)

Qwen Code supports project .qwen/skills/<name>/ and global ~/.qwen/skills/
Run the command to deploy SKILL.md
Prompt the agent to trigger the skill

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init oki3505f/telegram-cloud-storage --ai qwen -y

One-click API download

mkdir -p .qwen/skills/telegram-cloud-storage
curl -sL "https://clawhub.ai/api/v1/download?slug=telegram-cloud-storage&version=1.8.2" -o /tmp/telegram-cloud-storage.zip
unzip -o /tmp/telegram-cloud-storage.zip -d .qwen/skills/telegram-cloud-storage

User directory

mkdir -p ~/.qwen/skills/telegram-cloud-storage
curl -sL "https://clawhub.ai/api/v1/download?slug=telegram-cloud-storage&version=1.8.2" -o /tmp/telegram-cloud-storage.zip
unzip -o /tmp/telegram-cloud-storage.zip -d ~/.qwen/skills/telegram-cloud-storage

Windsurf

Windsurf supports project-level .windsurf/skills/<name>/ or global ~/.codeium/windsurf/skills/
Run the install command and refresh Cascade
Cascade will auto-activate the skill based on its description

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init oki3505f/telegram-cloud-storage --ai windsurf -y

One-click API download

mkdir -p .windsurf/skills/telegram-cloud-storage
curl -sL "https://clawhub.ai/api/v1/download?slug=telegram-cloud-storage&version=1.8.2" -o /tmp/telegram-cloud-storage.zip
unzip -o /tmp/telegram-cloud-storage.zip -d .windsurf/skills/telegram-cloud-storage

User directory

mkdir -p ~/.codeium/windsurf/skills/telegram-cloud-storage
curl -sL "https://clawhub.ai/api/v1/download?slug=telegram-cloud-storage&version=1.8.2" -o /tmp/telegram-cloud-storage.zip
unzip -o /tmp/telegram-cloud-storage.zip -d ~/.codeium/windsurf/skills/telegram-cloud-storage

Cline

Cline supports standard .agents/skills/<name>/ structure
Run the command to install the skill
Ask questions in the Cline panel to trigger the skill

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init oki3505f/telegram-cloud-storage --ai cline -y

One-click API download

mkdir -p .agents/skills/telegram-cloud-storage
curl -sL "https://clawhub.ai/api/v1/download?slug=telegram-cloud-storage&version=1.8.2" -o /tmp/telegram-cloud-storage.zip
unzip -o /tmp/telegram-cloud-storage.zip -d .agents/skills/telegram-cloud-storage

Cherry Studio

Use this skill as an Assistant system prompt in Cherry Studio
Copy the command to view SKILL.md text
Paste the contents into Cherry Studio Assistant system prompt

# 下载并提取 SKILL.md 指令内容
curl -sL "https://clawhub.ai/api/v1/download?slug=telegram-cloud-storage&version=1.8.2" -o /tmp/telegram-cloud-storage.zip
unzip -p /tmp/telegram-cloud-storage.zip SKILL.md
# 复制上述输出，粘贴至 Cherry Studio → 助手设置 →「系统提示词」

VS Code / GitHub Copilot

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init oki3505f/telegram-cloud-storage --ai vscode -y

One-click API download

curl -sL "https://clawhub.ai/api/v1/download?slug=telegram-cloud-storage&version=1.8.2" -o /tmp/telegram-cloud-storage.zip
mkdir -p .github/skills/telegram-cloud-storage
unzip -o /tmp/telegram-cloud-storage.zip -d .github/skills/telegram-cloud-storage

OpenAI Codex

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init oki3505f/telegram-cloud-storage --ai codex --global -y

One-click API download

mkdir -p ~/.codex/skills/telegram-cloud-storage
curl -sL "https://clawhub.ai/api/v1/download?slug=telegram-cloud-storage&version=1.8.2" -o /tmp/telegram-cloud-storage.zip
unzip -o /tmp/telegram-cloud-storage.zip -d ~/.codex/skills/telegram-cloud-storage

ClawHub CLI, then copy

clawhub install oki3505f/telegram-cloud-storage
mkdir -p ~/.codex/skills/telegram-cloud-storage
cp -R ./skills/telegram-cloud-storage/. ~/.codex/skills/telegram-cloud-storage/

# 源：./skills/telegram-cloud-storage/SKILL.md
# 目标：~/.codex/skills/telegram-cloud-storage/SKILL.md

OpenClaw — ClawHub CLI

# OpenClaw / ClawHub CLI（推荐）
# 在项目根或 OpenClaw 工作区目录执行
clawhub install oki3505f/telegram-cloud-storage

# 安装后 SKILL.md 位于：
#   ./skills/telegram-cloud-storage/SKILL.md
# （若已配置 OpenClaw 工作区，则在 <workspace>/skills/telegram-cloud-storage/）

# 仅查看不安装
clawhub inspect oki3505f/telegram-cloud-storage

Troubleshooting & Common ErrorsFAQ

Common connection errors and verified fixes for Telegram Cloud Storage

Getting 'connection closed' or exit code 1 in Cursor / Claude Code for Telegram Cloud Storage?

Usually caused by missing runtime paths or IDE environment inheritance. Fix steps: 1. Verify Node.js 18+ (npx) or Python 3.10+ (uvx) is installed; 2. Run 'which npx' or 'which uvx' in terminal, and replace 'command' with absolute path; 3. Reload or restart the client window after modifying config.

Fix Snippet

# Check binary path in terminal:
which npx
node -v

Getting 'spawn npx ENOENT' or 'command not found'?

The editor background process does not inherit your full terminal PATH. Solution: Globally install the package, or set the absolute binary path (e.g. C:\Program Files\nodejs\npx.cmd on Windows, or /usr/local/bin/npx on macOS).

Tool calls timing out or failing to download packages?

First-time package downloading might be slow or timeout due to network limits. Configure a reliable mirror or check outbound proxy settings.

Agent does not match or apply Telegram Cloud Storage during conversations?

Verify SKILL.md is located at .cursor/skills/Telegram Cloud Storage/SKILL.md (Cursor) or ~/.claude/skills/Telegram Cloud Storage/SKILL.md (Claude Code). You can explicitly mention the skill name in your prompt to boost match confidence.

Still not connecting? Read the MCP troubleshooting guide →

Tool Mock Playground

Sandbox

Telegram Cloud Storage Rule Injection & Agent Behavior Simulation · Preview tool schema & outputs without local runtime

Sandbox Ready

fn: agent_skill_runtimeInject system prompt guidelines & workflow constraints from Telegram Cloud Storage

Request ArgumentsJSON Schema

{
  "skill": "Telegram Cloud Storage",
  "rulePath": ".cursor/skills/telegram-cloud-storage/SKILL.md",
  "userGoal": "请使用 Telegram Cloud Storage 的方法与标准帮我完成当前任务",
  "client": "Cursor / Claude Code"
}

💡Parameters generated dynamically by Agent runtime

Agent Tool Output

Click 'Run Mock' above

to preview the raw response returned to the LLM

Env: AgentHub Virtual SandboxJSON-RPC 2.0

Decision Guide: Why & When to Use

Assess suitability before installing to save trial-and-error time

Best Suited For

When your AI Agent needs tool calling capabilities in this domain
Automating repetitive workflows in your IDE or terminal
Pairing with modern clients supporting MCP/Skill standards

When NOT to Use

When missing required API secrets or local runtime prerequisites
Pure conversational requests that don't need external system access

Recommended Workflow Pairing:

Telegram Cloud Storage + Scenario Prompt → Complete Agent Automation

Skill hands-on: install to visible results

Follow the full lab (expected UI/output + contrast checks). After installing this item, verify with the tutorial prompts.

Open tutorial →

An Agent Skill is a folder with SKILL.md instructions. After install, the AI loads it automatically when your task matches its description.

How to use

After installing, describe your task in chat (or mention the skill name). The agent reads the skill description to decide when to activate it, then follows the instructions in SKILL.md. Check loaded skills via /skills in Claude Code or in your client settings.

Related resources

postfast

v1.18.1

SkillClawHub6.2k

io.clawhub.peturgeorgievv/postfast

Schedule and manage social media posts across TikTok, Instagram, Facebook, X (Twitter), YouTube, LinkedIn, Threads, Bluesky, Pinterest, Telegram, and Google Business Profile using the PostFast API. Use when the user wants to schedule social media posts, manage social media content, upload media for social posting, list connected social accounts, check scheduled posts (filtered by account, platform, status or date), delete posts one at a time or up to 100 per call, cross-post content to multiple platforms, manage Google Business Profile posts, geotag posts with real-world places, pick trending pre-cleared TikTok sounds for photo and carousel posts, read or reply to the comments on their posts (social inbox on TikTok, Instagram, Facebook, Threads), triage or moderate comment conversations, generate a connect link so an agency client or their own app's user can connect accounts without a PostFast account, or automate their social media workflow. PostFast is a SaaS tool, no self-hosting required.

source

View on ClawHub

Planning with files

v3.23.0

SkillClawHub44.6k

io.clawhub.othmanadi/planning-with-files

Persistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.

source

View on ClawHub

OpenClaw Command Center

v1.5.0

SkillClawHub13.7k

io.clawhub.jontsai/command-center

Mission control dashboard for OpenClaw - real-time session monitoring, LLM usage tracking, cost intelligence, and system vitals. View all your AI agents in one place.

source

View on ClawHub

ClawCall

v2.0.1

SkillClawHub53.1k

io.clawhub.clawcall-dev/clawcall-dev

Use when the user wants an AI agent to place a US phone call, call a business, handle hold or phone menus, confirm/reschedule/cancel/book/follow up/check an order, reach a real person, leave voicemail, connect the user into a live call, configure ClawCall voice/personality/profile or inbound reserved-number answering, poll received inbound calls, or link a ClawCall API key. Not for SMS, email, or international calls.

source

View on ClawHub

中文公文写作

v2.0.25

SkillClawHub9.1k

io.clawhub.gongyu0918-debug/chinese-official-writing

用于中文公文、事务性材料和新闻稿件的起草、改写、压缩、润色、审校、文种核对、去口语化、降 AI 味及 Word 格式处理，适用于机关、企事业单位、学校和新闻机构。涵盖申请、请示、报告、通知、通告、意见、决定、决议、议案、公报、命令、函、复函、批复、说明、方案、纪要、公告、公示、通报、制度、规定、办法、细则、操作规程、工作要点、总结、调研、讲话、致辞、主持词、述职、可研、审查材料、技术需求、新闻消息、编者按、新闻评论，以及采购、整改、反馈和 AI 算力等场景。

source

View on ClawHub

gitlab-cli-skills

v1.13.30

SkillClawHub8.8k

io.clawhub.vince-winkintel/gitlab-cli-skills

Comprehensive GitLab CLI (glab) command reference and workflows for all GitLab operations. Use when working with merge requests, CI/CD pipelines, issues, releases, repositories, authentication, variables, labels, milestones, snippets, or any glab command. Covers 40+ sub-commands including glab mr, glab ci, glab issue, glab repo, glab release, glab variable, and more.

source

View on ClawHub

Often paired with

Kryptonian Labs XRPL APIs

v0.8.0

MCP ServerMCP Registry

com.kriptonianlabs/xrpl

Read-only XRP Ledger data for agents: fees, order books, slippage, AMM pools, accounts and health.

streamable-httpregistry listed

Linkbreakers MCP

v1.158.2

MCP ServerMCP Registry

com.linkbreakers/mcp

QR-driven customer-journey platform for tracked QR codes, short links, and analytics.

streamable-httpregistry listed

McpOrchestrator

v0.6.1

MCP ServerMCP Registry

io.github.Byggarepop/dotnet-mcp-orchestrator

Route one agent through one MCP server to many, with progressive tool discovery to shrink context.

stdionugetregistry listed

benethos-yahoo-finance-mcp

v0.8.4

MCP ServerMCP Registry

io.github.benethos-hub/benethos-yahoo-finance-mcp

Unofficial read-only MCP server exposing Yahoo Finance data (via yfinance) over stdio or HTTP.

stdiopypiocimcpbregistry listed

Keep exploring AgentHub

Most people compare similar tools or check scenario guides before installing—start here.

Browse more like this Search similar Pick by scenario Prompt playbooks Skill hands-on Reviews & comparisons

Listing badge: put AgentHub on your site

Copy either snippet into your project homepage, docs, or GitHub README. The badge is a hotlinked SVG — nothing to host — and it links back to this page so visitors can find the install steps.

Preview

Listed on AgentHub: Telegram Cloud Storage

HTML

<a href="https://myagenthub.cn/p/io.clawhub.oki3505f/telegram-cloud-storage" title="Listed on AgentHub: Telegram Cloud Storage" target="_blank" rel="noopener">
  <img src="https://myagenthub.cn/badge/io.clawhub.oki3505f/telegram-cloud-storage?lang=en" alt="Listed on AgentHub: Telegram Cloud Storage" height="20" style="border:0"/>
</a>

Markdown (GitHub README)

[![Listed on AgentHub: Telegram Cloud Storage](https://myagenthub.cn/badge/io.clawhub.oki3505f/telegram-cloud-storage?lang=en)](https://myagenthub.cn/p/io.clawhub.oki3505f/telegram-cloud-storage)

Badges are generated on the fly from /badge/<package-id>, so name and listing changes propagate automatically. Keep the link target unchanged — it is what counts as the referral.

Unified Manifest

{
  "id": "io.clawhub.oki3505f/telegram-cloud-storage",
  "type": "skill",
  "version": "1.8.2",
  "displayName": "Telegram Cloud Storage",
  "description": "A high-performance Telegram Cloud Storage solution using Teldrive. Turns Telegram into an unlimited cloud drive with a local API/UI.",
  "author": {
    "name": "oki3505f",
    "url": "https://clawhub.ai/oki3505f"
  },
  "homepage": "https://clawhub.ai/oki3505f/telegram-cloud-storage",
  "distribution": {
    "packages": [
      {
        "registryType": "source",
        "identifier": "oki3505f/telegram-cloud-storage",
        "version": "1.8.2",
        "runtimeHint": "clawhub install"
      }
    ],
    "remotes": []
  },
  "dependencies": [],
  "installTargets": [
    "openclaw",
    "claude-code",
    "claude-desktop",
    "cursor",
    "codex",
    "vscode"
  ],
  "keywords": [
    "downloads:3342",
    "stars:2",
    "installs:111",
    "Telegram"
  ],
  "provenance": {
    "origin": "clawhub",
    "originalId": "oki3505f/telegram-cloud-storage",
    "originalUrl": "https://clawhub.ai/oki3505f/telegram-cloud-storage",
    "isOfficial": false,
    "status": "active"
  }
}