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Install in OpenClaw
/install minimax-to-telegram
Description
Generate images, audio, video using MiniMax MCP and send to Telegram. Use when user wants to create media with MiniMax and deliver it via Telegram.
Usage Guidance
Before installing or using this skill: (1) be aware the SKILL.md requires a MINIMAX_API_KEY (and MINIMAX_RESOURCE_MODE) but the published metadata does not list these — verify and supply the MiniMax API key only if you trust the MiniMax service. (2) The instructions explicitly tell you to send the FULL presigned URLs returned by MiniMax (they contain authentication tokens in the query string) to Telegram; anyone with that URL can access the media until the token expires — avoid sending sensitive content or use short-lived tokens and private chats. (3) The skill assumes a Telegram integration/message tool is available; check how your Telegram credentials are stored and who can access them. (4) Installing mcporter via npm is required — review that package and its source before installing a global npm package. (5) Ask the publisher to update the skill metadata to declare required env vars and any Telegram config requirements; that metadata mismatch is the primary coherence issue here.
Capability Analysis
Type: OpenClaw Skill
Name: minimax-to-telegram
Version: 1.0.0
The skill bundle is classified as suspicious due to its reliance on external command execution and dependency installation. The `SKILL.md` instructs the AI agent to install a global npm package (`mcporter`) and then execute `mcporter` CLI commands. This introduces a supply chain risk if the `mcporter` package itself is compromised, and creates a potential for shell injection vulnerabilities if user inputs are not properly sanitized when passed to `mcporter`. Additionally, the skill involves file system modification (`~/.mcporter/config.json`) and network I/O (sending media to Telegram), which are powerful capabilities that could be misused via prompt injection against the agent, even though the stated purpose is benign.
Capability Assessment
Purpose & Capability
The skill's description is consistent with the instructions (use MiniMax MCP via mcporter and deliver results to Telegram). However, the published metadata declares no required environment variables while the SKILL.md clearly requires MINIMAX_API_KEY (and MINIMAX_RESOURCE_MODE) — this metadata omission is an incoherence that can mislead users about what credentials are needed.
Instruction Scope
SKILL.md stays within the stated purpose (install mcporter, call MCP tools, then send returned URLs to Telegram). However it instructs the agent/user to read or set ~/.mcporter/config.json and to include full presigned URLs with query-string authentication tokens when sending media. The instructions therefore require access to a local config file and to share URLs that embed auth tokens; both are material behaviors that were not declared in the manifest.
Install Mechanism
There is no formal install spec (instruction-only), which is low risk for the skill bundle itself. The README tells users to install mcporter via npm (npm install -g mcporter or npx). Installing a global npm package is a normal, expected step but is an external action the user must trust; the skill does not automatically download or execute anything itself.
Credentials
The runtime instructions require MINIMAX_API_KEY and optionally MINIMAX_RESOURCE_MODE, but the registry metadata lists no required env vars or primary credential — this mismatch is a clear inconsistency. The SKILL.md also assumes a Telegram 'message' tool/integration will be available (and that the agent has Telegram credentials), but does not document any Telegram token or configuration requirement. The credential requests that do appear (MiniMax API key) are appropriate for the feature, but they are not declared in the skill metadata.
Persistence & Privilege
The skill is instruction-only, has no install spec, and does not request always: true or other elevated persistence. It does not attempt to modify other skills or system-wide configurations in its instructions.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install minimax-to-telegram - After installation, invoke the skill by name or use
/minimax-to-telegram - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of minimax-to-telegram.
- Generate images, audio, and videos using MiniMax MCP and send them directly to Telegram.
- Comprehensive setup instructions for installing mcporter and configuring the MiniMax API Key.
- Detailed usage examples for generating and sending images, audio, and video to Telegram, including required parameters.
- Clear guidance on sending media to Telegram, emphasizing the use of full media URLs with authentication tokens.
- Includes troubleshooting tips for timeouts, background processing, and common errors (e.g., 403 Forbidden).
- Special tips for generating and delivering Cantonese (廣東話) audio content.
Metadata
Frequently Asked Questions
What is For using minimax mcp to generate audio, image, video to telegram.?
Generate images, audio, video using MiniMax MCP and send to Telegram. Use when user wants to create media with MiniMax and deliver it via Telegram. It is an AI Agent Skill for Claude Code / OpenClaw, with 955 downloads so far.
How do I install For using minimax mcp to generate audio, image, video to telegram.?
Run "/install minimax-to-telegram" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is For using minimax mcp to generate audio, image, video to telegram. free?
Yes, For using minimax mcp to generate audio, image, video to telegram. is completely free (open-source). You can download, install and use it at no cost.
Which platforms does For using minimax mcp to generate audio, image, video to telegram. support?
For using minimax mcp to generate audio, image, video to telegram. is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created For using minimax mcp to generate audio, image, video to telegram.?
It is built and maintained by hoyin258 (@hoyin258); the current version is v1.0.0.
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