skillhub-mcp
Allows Hermes agents to search, install, and manage skills from the skillhub marketplace via MCP tool calls.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@skillhub-mcpsearch for pdf conversion skills"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
skillhub
Trusted skill marketplace for AI agents. One manifest, many runtimes.
A skill is a small tool that an AI agent (Hermes, Claude Code, Codex, Cursor)
can call as a black box. skillhub is the place where:
maintainers publish skills once, in a universal
skill.yaml,agents and humans discover them via
skillhub search,they install into the right runtime with
skillhub install <name> <runtime>.
No domain. No accounts. No money involved — yet. Just the protocol, the CLI, and a registry of 20 seed skills.
Status
v0.0.1 — local CLI, no network, no payments. The goal of v0.0.1 is to prove the manifest format and the discoverability workflow before we add infrastructure.
Related MCP server: aiskillstore
What's here
File | What it is |
Universal skill manifest, v0.1 | |
| CLI: |
| MCP server exposing the same 4 tools to agents |
| Trust Score v0.2 (real GitHub signals) |
| Static security scanner |
| 254 curated skills (incl. |
| Cached trust scores (TTL 6h) |
| Idempotent importer from public registries |
| Tag enrichment via token frequency |
|
|
Install (local)
git clone <repo>
cd skillhub
python -m venv .venv && source .venv/bin/activate
pip install -e .
skillhub search "pdf"Usage
# Search the local registry
skillhub search "search" # human table
skillhub search "pdf" --json # agent-friendly, one JSON per line
# Show one skill in detail
skillhub show pdf-md
# Install into a runtime
skillhub install pdf-md --runtime hermes
# or
skillhub install pdf-md -r claude-code
# Validate your own skill.yaml
skillhub validate ./my-skill/skill.yamlAs an MCP server (skillhub-mcp)
For AI agents that speak MCP (Claude Code, Hermes, Codex, Cursor), skillhub ships
its own marketplace as a server. Connect once, then search/show/install/validate
skills as tool calls — no copy-paste, no scraping.
{
"mcpServers": {
"skillhub": {
"command": "python",
"args": ["-m", "skillhub_mcp.server"],
"cwd": "/path/to/skillhub"
}
}
}The server exposes 11 tools — full agent lifecycle:
Tool | When the agent uses it |
| "I need a tool that does X" |
| "Tell me more about this one" |
| "What's the community success rate? Latency?" |
| "Try a dry-run install first, don't touch my runtime" |
| "Make it real" |
| "Refresh me on the latest version" |
| "I don't need this anymore" |
| "Is this skill.yaml well-formed and safe to ship?" |
| "Did this skill work? Tell others" |
| "What else usually goes with the stuff I have?" |
| "What have I already installed/rated in this account?" |
The retention loop is built in: every install writes to a local profile;
every successful run is recorded as a rate; the next stats call surfaces
those signals back. So agents get more confident about skills over time —
not less.
See src/skillhub_mcp/server.py for the full schema.
Maintainers write
skill.yamlonce; the CLI compiles to runtime layouts.Agents find skills via
skillhub search --jsoninstead of web scraping.Humans get a
trust_scoreper skill — derived from real signals, not stars.Everyone agrees on the same
skill.yamlschema, so we don't fork five copies of the same SKILL.md across runtimes.
Roadmap (no dates)
v0.1: schema stable, security scanner v1, real registry updater.
v0.2: trust score from
install_success_rate(live telemetry).v0.3: in-agent MCP-server (
skillhub-mcp) so any MCP-capable agent can discover/install skills via tool calls.v1.0: featured/verified tiers, paid placements, the actual marketplace.
License
MIT. See headers in source files.
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Maintenance
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