Jimeng_Mcp_Skill
ListedAutomates Minecraft server management tasks like backups, restarts, and plugin updates via a custom MCP (Minecraft Protocol) interface.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add wwwzhouhui/skills_collection --skill jimeng_mcp_skill -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
wwwzhouhui
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill failed 2 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.
No undeclared network calls: failed
Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: astral.sh.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
Hosts contacted
127.0.0.1localastral.shundeclaredWhat it found
- jimeng_mcp_skill/references/setup_guide.md:105contacts astral.sh
curl -LsSf https://astral.sh/uv/install.sh | sh
No pipe-to-shell installers: failed
Runs code fetched at install time in 1 place.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
What it found
- jimeng_mcp_skill/references/setup_guide.md:105remote script piped into a shell
curl -LsSf https://astral.sh/uv/install.sh | sh
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
Pinned to a commit: passed
Scanned wwwzhouhui/skills_collection at 276b1f1fbd.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 276b1f1fbd
- Manifest
- jimeng_mcp_skill/SKILL.md
- Scanned
- 5 files, 1,768 lines
- Copies in repo
- 2 — all of them scanned
About this skill
jimeng_mcp_skill
What it does
This skill enables AI agents to interact with the Jimeng platform, allowing for the discovery and installation of specialized capabilities. It serves as a bridge connecting agent workflows with external tools defined within the Jimeng ecosystem.
When to use it
- You need to extend an AI agent's functionality by installing new modules from the Jimeng repository.
- Your workflow requires dynamic tool selection based on available skills in a specific collection.
- You are building agents that must operate within the constraints and features of the Jimeng platform.
Key capabilities
- Tool Discovery: Automatically locates available skills and tools hosted on the Jimeng server.
- Skill Installation: Facilitates the direct installation of new capabilities into an agent's runtime environment.
- Ecosystem Integration: Connects AI agents to the broader Jimeng community-shared skill library.
Example prompts
- "Help me find and install a data analysis tool from the Jimeng collection."
- "I need an agent that can access specific APIs; please set up the required jimeng_mcp_skill."
- "List all available skills in this repository and install the one for image processing."
Tips & gotchas
Ensure your AI agent has network access to the Jimeng server to successfully discover and fetch skill metadata. Verify that the installed skills are compatible with your agent's current version before executing complex workflows.