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.

What's here

File	What it is
manifest_spec.md	Universal skill manifest, v0.1
src/skillhub/cli.py	CLI: search, show, install, validate, publish
src/skillhub_mcp/server.py	MCP server exposing the same 4 tools to agents
src/skillhub/trust.py	Trust Score v0.2 (real GitHub signals)
src/skillhub/scan.py	Static security scanner
registry/skills.jsonl	254 curated skills (incl. skillhub-mcp itself)
registry/trust.json	Cached trust scores (TTL 6h)
scripts/seed_from_sources.py	Idempotent importer from public registries
scripts/enrich_tags.py	Tag enrichment via token frequency
pyproject.toml	uv tool install -e .

Install (local)

Requires uv (a fast Python package manager). On macOS: brew install uv. The CLI is then globally available as skillhub.

git clone https://github.com/djmarat/skillhub
cd skillhub
uv tool install -e .            # installs skillhub + skillhub-mcp
skillhub search "pdf"           # try it

To re-install after pulling new code:

cd skillhub
uv tool install -e . --force

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.yaml

As 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": "skillhub-mcp"
    }
  }
}

If you don't have uv tool installed globally, fall back to the dev form:

{
  "mcpServers": {
    "skillhub": {
      "command": "python",
      "args": ["-m", "skillhub_mcp.server"],
      "cwd": "/path/to/skillhub"
    }
  }
}

The server exposes 15 tools — full agent lifecycle:

Tool	When the agent uses it
search	"I need a tool that does X"
show	"Tell me more about this one"
stats	"What's the community success rate? Latency?"
probe	"Try a dry-run install first, don't touch my runtime"
install	"Make it real"
update	"Refresh me on the latest version"
uninstall	"I don't need this anymore"
validate	"Is this skill.yaml well-formed and safe to ship?"
rate	"Did this skill work? Tell others"
recommend	"What else usually goes with the stuff I have?"
profile	"What have I already installed/rated in this account?"
collections	"List curated bundles (AI Researcher, PDF, …)"
collection	"Show one bundle details"
bundle_install	"Install an entire bundle"
bundle_suggest	"What bundle fits my installed skills?"

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.yaml once; the CLI compiles to runtime layouts.
• Agents find skills via skillhub search --json instead of web scraping.
• Humans get a trust_score per skill — derived from real signals, not stars.
• Everyone agrees on the same skill.yaml schema, 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.