Search / io.github.divitkashyap/auto-skill-loader
auto-skill-loader
L0· runs locallyAuto-loads skills into agent sessions. MiniMax vision and search proxy.
v1.0.1 · active · repository · descriptor JSON · versions
Search / io.github.divitkashyap/auto-skill-loader
L0· runs locallyAuto-loads skills into agent sessions. MiniMax vision and search proxy.
v1.0.1 · active · repository · descriptor JSON · versions
{
"mcpServers": {
"auto-skill-loader": {
"command": "uvx",
"args": [
"auto-skill-loader==1.0.1"
],
"env": {
"MINIMAX_TOKEN_PLAN_KEY": "${MINIMAX_TOKEN_PLAN_KEY}"
}
}
}
}claude mcp add auto-skill-loader -e "MINIMAX_TOKEN_PLAN_KEY=${MINIMAX_TOKEN_PLAN_KEY}" -- uvx auto-skill-loader==1.0.1[mcp_servers.auto-skill-loader]
command = "uvx"
args = ["auto-skill-loader==1.0.1"]
env = { "MINIMAX_TOKEN_PLAN_KEY" = "${MINIMAX_TOKEN_PLAN_KEY}" }
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"auto-skill-loader": {
"type": "local",
"command": [
"uvx",
"auto-skill-loader==1.0.1"
],
"enabled": true,
"environment": {
"MINIMAX_TOKEN_PLAN_KEY": "{env:MINIMAX_TOKEN_PLAN_KEY}"
}
}
}
}{
"mcpServers": {
"auto-skill-loader": {
"command": "uvx",
"args": [
"auto-skill-loader==1.0.1"
],
"env": {
"MINIMAX_TOKEN_PLAN_KEY": "${MINIMAX_TOKEN_PLAN_KEY}"
}
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=auto-skill-loader&config=eyJjb21tYW5kIjoidXZ4IiwiYXJncyI6WyJhdXRvLXNraWxsLWxvYWRlcj09MS4wLjEiXSwiZW52Ijp7Ik1JTklNQVhfVE9LRU5fUExBTl9LRVkiOiIke01JTklNQVhfVE9LRU5fUExBTl9LRVl9In19"
}{
"servers": {
"auto-skill-loader": {
"type": "stdio",
"command": "uvx",
"args": [
"auto-skill-loader==1.0.1"
],
"env": {
"MINIMAX_TOKEN_PLAN_KEY": "${MINIMAX_TOKEN_PLAN_KEY}"
}
}
}
}{
"mcpServers": {
"auto-skill-loader": {
"command": "uvx",
"args": [
"auto-skill-loader==1.0.1"
],
"env": {
"MINIMAX_TOKEN_PLAN_KEY": "${MINIMAX_TOKEN_PLAN_KEY}"
}
}
}
}extensions:
"auto-skill-loader":
enabled: true
name: "auto-skill-loader"
type: stdio
cmd: "uvx"
args:
- "auto-skill-loader==1.0.1"
envs:
"MINIMAX_TOKEN_PLAN_KEY": "${MINIMAX_TOKEN_PLAN_KEY}"
timeout: 300
Placeholders to fill from your own secret store: ${MINIMAX_TOKEN_PLAN_KEY}. The registry never accepts secret values.
This is a local package: the command runs on your machine.
Not scored: fewer than three checks apply, usually because no remote answered a credential-free probe or the server is a local package.
protocol.modern, protocol.stateless, protocol.transport, protocol.list_ttlno remote answered a protocol handshake (not probed yet, unreachable, or local-only)auth.prm, auth.as_metadata, auth.cimdno remote uses OAuthauth.secret_in_urlno templated URLtools.descriptions, tools.description_length, tools.schemas, tools.annotations, tools.directory_hints, tools.token_cost, tools.api_dumptool list unknown (behind auth, not probed, or empty)stability.changes, stability.rug_pulltool list unknowndeps.known_vulnsno known advisory in 30 resolved packagesdeps.mcp_sdk_versionmcp 2.2.0, no known advisorydeps.resolvable[email protected] resolved: 30 packagesNo tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.
Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.
+repository +namespace-matches-repo ~liveness-unmeasured -stale-193d
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
[email protected] PyPI29 dependencies, resolved · MCP SDK mcp 2.2.0 · advisories checked 2026-10-19
No known advisory affects this dependency graph.
Dependency graphs from deps.dev; advisories from OSV.dev, including the GitHub Advisory Database and the PyPI Advisory Database; all CC BY 4.0. The graph is what a clean install of this version resolves today; nothing was installed or run. How it is checked.
| package | registry | version | runtime | secrets |
|---|---|---|---|---|
auto-skill-loader | pypi | 1.0.1 | – | MINIMAX_TOKEN_PLAN_KEY |
No tools observed. Local packages are never executed by the registry.
Schemas: list_tools.
{
"name": "io.github.divitkashyap/auto-skill-loader",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "1.0.1",
"packages": [
{
"version": "1.0.1",
"transport": {
"type": "stdio"
},
"identifier": "auto-skill-loader",
"registryType": "pypi",
"environmentVariables": [
{
"name": "MINIMAX_TOKEN_PLAN_KEY",
"format": "string",
"isSecret": true,
"isRequired": true,
"description": "MiniMax Token Plan API key from https://platform.minimax.io"
}
]
}
],
"repository": {
"url": "https://github.com/divitkashyap/auto-skill-loader",
"source": "github"
},
"description": "Auto-loads skills into agent sessions. MiniMax vision and search proxy."
}