Auto Skill Loader

Name: Auto Skill Loader
Author: divitkashyap

by divitkashyapversion 1.0.1i★ 0iRuns on your computer

Registry nameio.github.divitkashyap/auto-skill-loader

How to install

What it does

Auto-loads skills into agent sessions. MiniMax vision and search proxy.

Connects Runs on your computer
Account or key Needs MINIMAX_TOKEN_PLAN_KEY
Category Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Passed 2/3 checks · Runs on your computer · ✓ Commands checked Nov 13, 2026

First: which AI do you use?

ClaudeWeb · app · phoneChatGPTWebClaude CodeTerminalCursorCode editorVS CodeCode editorOtherOther apps

Pick your app and the steps appear below.

Works with Claude, with some setup first

You need a Auto Skill Loader key (create it on the maker’s site) · Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone

Let AI install it

Copy this message into a Claude chat. The AI checks your computer, tells you which file it will change, and waits for your OK every time.

Please install the MCP server Auto Skill Loader for Claude on this computer, in this order: 1) Check uv with uv --version. If it is missing, tell me to install it from https://docs.astral.sh/uv/getting-started/installation/; do not install it yourself. 2) Use only this config (already checked by PopNx MCP): { "mcpServers": { "auto-skill-loader": { "command": "uvx", "args": [ "auto-skill-loader" ], "env": { "MINIMAX_TOKEN_PLAN_KEY": "your-value" } } } } 3) Tell me the full path of the file you will change, or the command you will run, and wait for my OK. 4) For MINIMAX_TOKEN_PLAN_KEY, leave "your-value" in place and tell me to paste the real value myself into the file or the app’s field. Never ask me to type a key in chat. 5) Do what we agreed, then check that the Auto Skill Loader tools really show up.

This message has no key in it. If a key is needed, the AI will ask you to paste it yourself into the file or the app’s field.

1
Install uv (if you don’t have it)
Already installed? Check first · Open Terminal, type this command and press Enter
uv --version
- A version number such as uv … = installed, skip this step
- "command not found" (on Windows: "is not recognized") = not installed yet, or installed but Terminal needs to be closed and reopened
How to open Terminal
Mac: press ⌘ + Space, type Terminal, press Enter
Windows: open Start, type Windows PowerShell, then Open
Not installed: uv has no click-through installer. Copy the one-line command for your system (macOS or Windows) from uv’s official page into Terminal · no separate Python install needed; uv downloads it when required
Open the uv download page ↗
When it’s done, close Terminal, open it again and run the same command. You should see a version number: uv --version
Install once; it works for everything that needs uv
Done
Sign up and create a Auto Skill Loader key
Open the maker’s site, sign up and create an API key for the next step. Check the maker’s site for pricing and free plans.
How to get a key is in the maker’s README below
Done
Open the Claude desktop app’s settings file
SettingsDeveloperEdit Config
Done

Paste these settings and save the file

{
  "mcpServers": {
    "auto-skill-loader": {
      "command": "uvx",
      "args": [
        "auto-skill-loader"
      ],
      "env": {
        "MINIMAX_TOKEN_PLAN_KEY": "your-value"
      }
    }
  }
}

Paste the key only into the app’s field, never into a chat or to anyone

Done

Quit Claude and open it again
Done
Try it
Use Auto Skill Loader and tell me what you can do for me, then show me one thing
✓ If Claude says it is using Auto Skill Loader or shows a Auto Skill Loader tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

ChatGPT cannot connect Auto Skill Loader yet

Auto Skill Loader runs on your computer, but ChatGPT can only connect servers that run on the web

What you can do instead

A · Use an app that can connect Auto Skill Loader

Steps for Claude →You need a Auto Skill Loader key (create it on the maker’s site) · Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
Steps for Claude Code →You need a Auto Skill Loader key (create it on the maker’s site) · Install Python (uv) on your computer first (one time)
Steps for Cursor →You need a Auto Skill Loader key (create it on the maker’s site) · Install Python (uv) on your computer first (one time)
Steps for VS Code →You need a Auto Skill Loader key (create it on the maker’s site) · Install Python (uv) on your computer first (one time)

B · Others in Search & AI memory that work with ChatGPT

Picked from the most used in the same category, only ones that connect by address with no key

Context7✓ ChatGPT
OpenSEO✓ ChatGPT
AIHOT✓ ChatGPT

Works with Claude Code, with some setup first

You need a Auto Skill Loader key (create it on the maker’s site) · Install Python (uv) on your computer first (one time)

Let AI install it

Copy this message into a Claude Code chat. The AI checks your computer, tells you which file it will change, and waits for your OK every time.

Please install the MCP server Auto Skill Loader for Claude Code on this computer, in this order: 1) Check uv with uv --version. If it is missing, tell me to install it from https://docs.astral.sh/uv/getting-started/installation/; do not install it yourself. 2) Use only this config (already checked by PopNx MCP): claude mcp add --scope user auto-skill-loader --env MINIMAX_TOKEN_PLAN_KEY=your-value -- uvx auto-skill-loader 3) Tell me the full path of the file you will change, or the command you will run, and wait for my OK. 4) For MINIMAX_TOKEN_PLAN_KEY, leave "your-value" in place and tell me to paste the real value myself into the file or the app’s field. Never ask me to type a key in chat. 5) Do what we agreed, then check that the Auto Skill Loader tools really show up.

This message has no key in it. If a key is needed, the AI will ask you to paste it yourself into the file or the app’s field.

1
Install uv (if you don’t have it)
Already installed? Check first · Open Terminal, type this command and press Enter
uv --version
- A version number such as uv … = installed, skip this step
- "command not found" (on Windows: "is not recognized") = not installed yet, or installed but Terminal needs to be closed and reopened
How to open Terminal
Mac: press ⌘ + Space, type Terminal, press Enter
Windows: open Start, type Windows PowerShell, then Open
Not installed: uv has no click-through installer. Copy the one-line command for your system (macOS or Windows) from uv’s official page into Terminal · no separate Python install needed; uv downloads it when required
Open the uv download page ↗
When it’s done, close Terminal, open it again and run the same command. You should see a version number: uv --version
Install once; it works for everything that needs uv
Done
Sign up and create a Auto Skill Loader key
Open the maker’s site, sign up and create an API key for the next step. Check the maker’s site for pricing and free plans.
How to get a key is in the maker’s README below
Done
Open Terminal
Mac: press Command+Space and type Terminal · Windows: open PowerShell
Done
4
Paste this command and press Enter
```
claude mcp add --scope user auto-skill-loader --env MINIMAX_TOKEN_PLAN_KEY=your-value -- uvx auto-skill-loader
```
Replace “your-value” with your key before pressing Enter
Paste the key only into the app’s field, never into a chat or to anyone
Done
Type /mcp in Claude Code
You should see Auto Skill Loader listed as connected
Done
Try it
Use Auto Skill Loader and tell me what you can do for me, then show me one thing
✓ If Claude Code says it is using Auto Skill Loader or shows a Auto Skill Loader tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with Cursor, with some setup first

You need a Auto Skill Loader key (create it on the maker’s site) · Install Python (uv) on your computer first (one time)

Let AI install it

Copy this message into a Cursor chat. The AI checks your computer, tells you which file it will change, and waits for your OK every time.

Please install the MCP server Auto Skill Loader for Cursor on this computer, in this order: 1) Check uv with uv --version. If it is missing, tell me to install it from https://docs.astral.sh/uv/getting-started/installation/; do not install it yourself. 2) Use only this config (already checked by PopNx MCP): { "mcpServers": { "auto-skill-loader": { "command": "uvx", "args": [ "auto-skill-loader" ], "env": { "MINIMAX_TOKEN_PLAN_KEY": "your-value" } } } } 3) Tell me the full path of the file you will change, or the command you will run, and wait for my OK. 4) For MINIMAX_TOKEN_PLAN_KEY, leave "your-value" in place and tell me to paste the real value myself into the file or the app’s field. Never ask me to type a key in chat. 5) Do what we agreed, then check that the Auto Skill Loader tools really show up.

This message has no key in it. If a key is needed, the AI will ask you to paste it yourself into the file or the app’s field.

1
Install uv (if you don’t have it)
Already installed? Check first · Open Terminal, type this command and press Enter
uv --version
- A version number such as uv … = installed, skip this step
- "command not found" (on Windows: "is not recognized") = not installed yet, or installed but Terminal needs to be closed and reopened
How to open Terminal
Mac: press ⌘ + Space, type Terminal, press Enter
Windows: open Start, type Windows PowerShell, then Open
Not installed: uv has no click-through installer. Copy the one-line command for your system (macOS or Windows) from uv’s official page into Terminal · no separate Python install needed; uv downloads it when required
Open the uv download page ↗
When it’s done, close Terminal, open it again and run the same command. You should see a version number: uv --version
Install once; it works for everything that needs uv
Done
Sign up and create a Auto Skill Loader key
Open the maker’s site, sign up and create an API key for the next step. Check the maker’s site for pricing and free plans.
How to get a key is in the maker’s README below
Done
Click this button to open Cursor
Open in Cursor
Cursor asks you to confirm; click Install
Done
Fill in your key
In the Auto Skill Loader settings, MINIMAX_TOKEN_PLAN_KEY is empty; add your key and save
Paste the key only into the app’s field, never into a chat or to anyone
Done
Open the AI chat in Cursor in Agent mode
Done
Try it
Use Auto Skill Loader and tell me what you can do for me, then show me one thing
✓ If Cursor says it is using Auto Skill Loader or shows a Auto Skill Loader tool in the answer, you are connected

Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with VS Code, with some setup first

You need a Auto Skill Loader key (create it on the maker’s site) · Install Python (uv) on your computer first (one time)

Let AI install it

Copy this message into a VS Code chat. The AI checks your computer, tells you which file it will change, and waits for your OK every time.

Please install the MCP server Auto Skill Loader for VS Code on this computer, in this order: 1) Check uv with uv --version. If it is missing, tell me to install it from https://docs.astral.sh/uv/getting-started/installation/; do not install it yourself. 2) Use only this config (already checked by PopNx MCP): { "servers": { "auto-skill-loader": { "type": "stdio", "command": "uvx", "args": [ "auto-skill-loader" ], "env": { "MINIMAX_TOKEN_PLAN_KEY": "your-value" } } } } 3) Tell me the full path of the file you will change, or the command you will run, and wait for my OK. 4) For MINIMAX_TOKEN_PLAN_KEY, leave "your-value" in place and tell me to paste the real value myself into the file or the app’s field. Never ask me to type a key in chat. 5) Do what we agreed, then check that the Auto Skill Loader tools really show up.

This message has no key in it. If a key is needed, the AI will ask you to paste it yourself into the file or the app’s field.

1
Install uv (if you don’t have it)
Already installed? Check first · Open Terminal, type this command and press Enter
uv --version
- A version number such as uv … = installed, skip this step
- "command not found" (on Windows: "is not recognized") = not installed yet, or installed but Terminal needs to be closed and reopened
How to open Terminal
Mac: press ⌘ + Space, type Terminal, press Enter
Windows: open Start, type Windows PowerShell, then Open
Not installed: uv has no click-through installer. Copy the one-line command for your system (macOS or Windows) from uv’s official page into Terminal · no separate Python install needed; uv downloads it when required
Open the uv download page ↗
When it’s done, close Terminal, open it again and run the same command. You should see a version number: uv --version
Install once; it works for everything that needs uv
Done
Sign up and create a Auto Skill Loader key
Open the maker’s site, sign up and create an API key for the next step. Check the maker’s site for pricing and free plans.
How to get a key is in the maker’s README below
Done
Click this button to open VS Code
Open in VS Code
VS Code asks you to confirm; click Install
Done
Fill in your key
In the Auto Skill Loader settings, MINIMAX_TOKEN_PLAN_KEY is empty; add your key and save
Paste the key only into the app’s field, never into a chat or to anyone
Done
Open the AI chat in VS Code in Agent mode
Done
Try it
Use Auto Skill Loader and tell me what you can do for me, then show me one thing
✓ If VS Code says it is using Auto Skill Loader or shows a Auto Skill Loader tool in the answer, you are connected

Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.

See every app that uses MCP →

JSON settings are under “For developers” below

Stuck? Ask people who use Auto Skill Loader💬 Discussion →

For developers: Terminal commands and JSON settings

Installed on your computer

Claude Code

claude mcp add --scope user auto-skill-loader --env MINIMAX_TOKEN_PLAN_KEY=your-value -- uvx auto-skill-loader

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "auto-skill-loader": {
      "command": "uvx",
      "args": [
        "auto-skill-loader"
      ],
      "env": {
        "MINIMAX_TOKEN_PLAN_KEY": "your-value"
      }
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "auto-skill-loader": {
      "command": "uvx",
      "args": [
        "auto-skill-loader"
      ],
      "env": {
        "MINIMAX_TOKEN_PLAN_KEY": "your-value"
      }
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "auto-skill-loader": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "auto-skill-loader"
      ],
      "env": {
        "MINIMAX_TOKEN_PLAN_KEY": "your-value"
      }
    }
  }
}

Values you fill in

MINIMAX_TOKEN_PLAN_KEY secret required env
MiniMax Token Plan API key from https://platform.minimax.io

Descriptions are as written by the maker.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

At a glance

GitHub stars i: 0
Downloads per weeki: 14/wk
Licence i: MIT
Connection: Runs on your computer
Transport: stdio
Latest versioni: 1.0.1
Categoryi: Search & AI memory
Published to registryi: Apr 10, 2026
Code last changedi: Apr 11, 2026
Maker: divitkashyap
Packages: pypi: auto-skill-loader
Repo: divitkashyap/auto-skill-loader
Registry status: Active

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Run on your computer in

Claude Goose LM Studio Msty Studio Cherry Studio Cursor VS Code + GitHub Copilot Visual Studio Windsurf (Devin Desktop)Zed Kiro Cline Continue JetBrains AI Assistant Claude Code Codex CLI Gemini CLI OpenCode nodecode Warp LibreChat Raycast

All apps, with pros and cons →

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 16, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account divitkashyap, which owns the repo
! Caution
Still maintained
Code last changed 7 months ago, more than 6 months ago
✓ Pass
Has a licence
Uses MIT
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Published vulnerabilities (OSV.dev)

Not checked yet

What we check → · JSON

Makers: ask for a re-check or report wrong info

Discussion

Ask, share a tip or report that it does not work. Sorted by what people marked helpful.

No posts yet. Be the first to ask or share.

Posts here are written by users, not the PopNx team.

User reviews

No reviews yet

Compared with others in Search & AI memoryi

More stars than 0% of the other 6188 servers in this category
Published to the registry more recently than 8% of the other 6188 servers in this category
Basic checks equal to or better than 50% of the other 6188 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Auto Skill Loader safe?

It passed 2 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: MINIMAX_TOKEN_PLAN_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed 7 months ago, and the latest version (1.0.1) reached the registry 7 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: OpenSEO, Exa, Mockserver, Microsoft Learn MCP, Docs

Similar alternatives

Same category, other makers, commands already checked. Official ones first, then by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

OpenSEO

Keyword research, site audits, rank tracking and AI visibility for your AI agent.

by every-appWidely used★ 27.8KUpdated 2 days ago

Runs in the cloud✓ everyapp.com

How to connect

Exa

Connect AI agents to Exa for web search, content fetching, and multi-step research.

by exa-labsWidely used★ 5.2KUpdated 2 months ago

Runs in the cloud✓ service owner · exa.aiTried by the PopNx team

How to connect

Mockserver

Mock, record/replay, verify and chaos-test any HTTP, REST, gRPC or LLM dependency over MCP.

by mock-serverGrowing★ 5KUpdated 20 days ago

Runs on your computer✓ service owner · mock-server.com

Install

Microsoft Learn MCP

Official Microsoft Learn MCP Server – real-time, trusted docs & code samples for AI and LLMs.

by MicrosoftDocsWidely used★ 2KUpdated 12 months ago

Runs in the cloud✓ service owner · microsoft.comTried by the PopNx team

How to connect

Docs

Search and read Empryo's documentation. Read-only, no auth, no local access.

by proxysoulGrowing★ 1.6KUpdated 2 months ago

Runs in the cloud✓ empryo.com

How to connect

OpenSEO — Runs in the cloud, nothing to install · No key needed
Exa — Runs in the cloud, nothing to install · No key needed · In Claude’s directory
Mockserver — Installs on your computer · No key needed
Microsoft Learn MCP — Runs in the cloud, nothing to install · No key needed · In Claude’s directory
Docs — Runs in the cloud, nothing to install · No key needed

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

auto-skill-loader

Give your AI agent a persistent skill library it auto-loads at session start.

OpenCode image note: OpenCode doesn't yet expose real file paths when you paste images — the agent sees a filename instead. Workaround: give the agent an actual file path instead of pasting. Skills auto-load at session start as expected.

mcp-name: io.github.divitkashyap/auto-skill-loader

How it works

You configure which skills to auto-load in ~/.config/auto-skill-loader/config.yaml
The MCP server reads skill files from your skills directory and exposes them via skills://active
At session start your agent reads skills://active and gets all approved skills auto-injected
No explicit triggers needed — the agent already knows your skills

Why

The main problem: In OpenCode, skills don't auto-load — the agent has to explicitly invoke them or rely on unreliable fuzzy matching. auto-skill-loader solves this by exposing your skill library as an MCP resource that gets read at session start. Deterministic, no guessing.

Bonus: Our proxy tools also work around OpenCode's broken MCP stdio transport for the MiniMax vision and web search tools.

Installation

Option 1: uvx (recommended — no install needed)

uvx auto-skill-loader

Option 2: pip

pip install auto-skill-loader

auto-skill-loader

Option 3: Build from source

git clone https://github.com/divitkashyap/auto-skill-loader.git

cd auto-skill-loader pip install -e . auto-skill-loader

Configuration

OpenCode

Add to ~/.config/opencode/opencode.json:

"mcp": { "auto-skill-loader": { "type": "local", "command": ["uvx", "auto-skill-loader"], "enabled": true } } }

Claude Code

Note: Claude Code requires a specific JSON format via add-json:

claude mcp add-json -s user auto-skill-loader '{"type":"stdio","command":"/FULL/PATH/TO/python","args":["-m","server"],"env":{"MINIMAX_TOKEN_PLAN_KEY":"sk-cp-YOUR-KEY-HERE"}}'

Replace /FULL/PATH/TO/python with the path to your Python (e.g. /Users/YOU/auto-skill-loader/.venv/bin/python).

Or for uvx (requires network on first run):

claude mcp add -s user --transport stdio -e MINIMAX_TOKEN_PLAN_KEY=sk-cp-YOUR-KEY auto-skill-loader -- uvx auto-skill-loader

Tested On

Host	Skill Auto-Load	Vision Proxy	Image Paste	Notes
Claude Code (macOS)	✅	❌ Not needed	✅	Use `minimax-token-plan` MCP directly instead
OpenCode (macOS)	✅	✅ Works	❌ Broken	Give file paths instead of pasting

Skill auto-loading confirmed working on both hosts. The vision proxy bypasses OpenCode's broken stdio transport, but image paste-to-path is a separate rendering issue in OpenCode that requires using file paths.

Other MCP-compatible hosts (Cursor, Zed, etc.) should work with the same configuration — contributions welcome.

Platform Differences & Known Issues

Image Input: OpenCode vs Claude Code

Both hosts work with auto-skill-loader vision tools, but image input behaves differently:

Host	How images are passed	Recommended workflow
Claude Code	Images uploaded to URL automatically → tool receives URL	Paste image directly ✅ works
OpenCode	Inline images render visually but may not give tools a real path	Give a file path instead of pasting

OpenCode note: When you paste an image in OpenCode, it may render inline but the agent sees it as a filename string (e.g. logo.png) rather than a real filesystem path. This is a known OpenCode rendering behavior.

Workaround for OpenCode: Instead of pasting, give the agent the actual file path:

analyze this image: /path/to/your/image.png

The agent can access local files directly in OpenCode. If the image is only in your clipboard, the agent can extract it to /tmp/ first.

What We're Monitoring

We actively track the following OpenCode issues:

Inline image rendering (images pasted don't expose real paths to tools)
MCP stdio transport for local servers (our proxy tools work around this)
Session persistence of skills across restarts

If OpenCode releases a fix for inline image paths, this documentation and the vision-analysis skill will be updated to support direct paste workflow. We monitor OpenCode's changelog and release notes — check this repo for updates.

Other Known Issues

Issue	Severity	Workaround
OpenCode inline images show as filename, not path	Medium — affects paste workflow	Use file paths instead
Claude Code auth conflict (ANTHROPIC_AUTH_TOKEN vs managed key)	Low — cosmetic warning	Harmless, can be ignored
First vision call may take 3-5s (uvx download)	Low — one-time	Subsequent calls are ~200ms

Setup

Create skills directory (symlink to your existing skills):

mkdir -p ~/.config/auto-skill-loader

ln -sf ~/.config/opencode/skills ~/.config/auto-skill-loader/skills

Edit ~/.config/auto-skill-loader/config.yaml:

active_skills:

vision-analysis
context-maintainer
markdown-mcp

skills_dir: ~/.config/auto-skill-loader/skills

Restart your agent. It will now auto-load all listed skills at session start.

Tools

Tool	What it does
`list_skills`	List all available skills in skills_dir with descriptions
`activate_skill`	Add a skill to your approved list (persists to config.yaml)
`deactivate_skill`	Remove a skill from your approved list
`get_skill_info`	Get details about a specific skill
`get_active_skills`	List currently active skill names
`suggest_skills`	If no skills are active, suggests common ones to get started
`check_prerequisites`	Validate a skill's dependencies (MCP tools, API keys, env vars)

Bonus: MiniMax Vision & Web Search Proxy

auto-skill-loader also exposes two tools that proxy to minimax-coding-plan-mcp with a working stdio transport:

Tool	What it does
`minimax_understand_image`	Analyze images (JPEG, PNG, GIF, WebP up to 20MB)
`minimax_web_search`	Web search using MiniMax

Note: For vision specifically, mmx-cli is now the recommended approach — it's a direct REST call to MiniMax VLM, no MCP transport issues, and handles URLs natively. These proxy tools are useful if you want a unified MCP interface for both skill loading and vision.

The OpenCode MCP Bug

When OpenCode's built-in minimax-coding-plan-mcp MCP integration (minimax-token-plan) is configured, the understand_image tool fails with:

API Error: login fail: Please carry the API secret key in the 'Authorization' field

This happens even when:

✅ MINIMAX_API_KEY / MINIMAX_TOKEN_PLAN_KEY is set correctly
✅ API key is valid (same key works via direct API calls)
✅ Token Plan has available vision quota

Root cause: OpenCode's stdio transport for local MCP servers sends messages in a way that breaks the MCP protocol — likely batched writes without proper flush between JSON-RPC messages. Direct subprocess tests with sequential writes + flush() work fine.

The fix: Our proxy tools in auto-skill-loader use proper sequential stdio communication, bypassing OpenCode's broken transport layer.

Setup

Set your MiniMax Token Plan key in ~/.config/opencode/.env:

MINIMAX_TOKEN_PLAN_KEY=sk-cp-your-key-here

Add auto-skill-loader to ~/.config/opencode/opencode.json:

"mcp": { "auto-skill-loader": { "type": "local", "command": ["/path/to/venv/bin/python", "-m", "server"], "enabled": true } } }

Critical: If you have minimax-coding-plan-mcp configured directly in opencode.json (the minimax-token-plan entry), remove or disable it — its broken stdio transport will cause "login fail" errors. The proxy tools in auto-skill-loader replace it entirely.

Restart OpenCode and verify: /ask Do you have auto-skill-loader_minimax_understand_image available?

Diagnosis

If you see "login fail" errors after setup:

Disable the broken minimax MCP — ensure "minimax-token-plan": { "enabled": false } or remove it entirely
Restart OpenCode completely — MCP servers are re-spawned on each session
Check with: /ask Call minimax_understand_image with image_source="/any/real/image.png" and prompt="test"

Resources

Resource	What it does
`skills://active`	All approved skill contents concatenated — read by host at session init
`skills://config`	Your current config.yaml content

Security

User-controlled — only skills in config.yaml are loaded
No network fetches — everything is local
No prompt injection — skills come from your own configured directory

Repo Structure

auto-skill-loader/

├── src/ │ └── server.py # MCP server (Python stdlib + mcp package) ├── pyproject.toml # Package config ├── README.md # This file ├── SKILL.md # For agent onboarding └── LICENSE # MIT

Requirements

Python 3.9+
mcp package (pip install mcp)
pyyaml package (pip install pyyaml)

Or just use uvx auto-skill-loader which fetches dependencies automatically.

Auto Skill Loader

What it does

Install

Install uv (if you don’t have it)

Sign up and create a Auto Skill Loader key

Open the Claude desktop app’s settings file

Paste these settings and save the file

Quit Claude and open it again

Try it

What you can do instead

Install uv (if you don’t have it)

Sign up and create a Auto Skill Loader key

Open Terminal

Paste this command and press Enter

Type /mcp in Claude Code

Try it

Install uv (if you don’t have it)

Sign up and create a Auto Skill Loader key

Click this button to open Cursor

Fill in your key

Open the AI chat in Cursor in Agent mode

Try it

Install uv (if you don’t have it)

Sign up and create a Auto Skill Loader key

Click this button to open VS Code

Fill in your key

Open the AI chat in VS Code in Agent mode

Try it

Installed on your computer

Values you fill in

At a glance

Which apps can use it

Related guides

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Published vulnerabilities (OSV.dev)

Discussion

User reviews

Compared with others in Search & AI memoryi

Common questions

Similar alternatives

OpenSEO

Exa

Mockserver

Microsoft Learn MCP

Docs

README from the maker

auto-skill-loader

How it works

Why

Installation

Option 1: uvx (recommended — no install needed)

Option 2: pip

Option 3: Build from source

Configuration

OpenCode

Claude Code

Tested On

Platform Differences & Known Issues

Image Input: OpenCode vs Claude Code

What We're Monitoring

Other Known Issues

Setup

Tools

Bonus: MiniMax Vision & Web Search Proxy

The OpenCode MCP Bug

Setup

Diagnosis

Resources

Security

Repo Structure

Requirements