skilllite 0.1.23

A lightweight Skills secure execution engine - full CLI via bundled binary

SkillLite

A lightweight Skills secure execution engine. One package: full CLI + sandbox API.

pip install skilllite

CLI (full capability)

skilllite chat              # Interactive chat with LLM
skilllite add owner/repo    # Add skills from GitHub
skilllite list              # List installed skills
skilllite mcp               # Start MCP server (for Cursor/Claude)
skilllite run/exec/bash     # Execute skills
skilllite init-cursor       # Initialize Cursor IDE integration
# ... and more

API (Python ↔ binary bridge)

from skilllite import scan_code, execute_code, chat, run_skill

# Sandbox: security scan + execute (IDE/MCP integration)
result = scan_code("python", "print(1+1)")
result = execute_code("python", "print(sum(range(101)))")

# Direct skill execution
result = run_skill("./.skills/calculator", '{"operation": "add", "a": 15, "b": 27}')

# Agent chat (single-shot, hides binary CLI)
result = chat("帮我分析这个项目", skills_dir=".skills", stream=True)
# result["success"], result["exit_code"]

Artifacts (run-scoped blobs over HTTP)

Use the same API as docs/openapi/artifact-store-http-v1.yaml. No extra pip dependencies (stdlib urllib).

from skilllite import artifact_put, artifact_get

artifact_put("http://127.0.0.1:8080", "my-run-id", "outputs/result.json", b'{"ok": true}')
data = artifact_get("http://127.0.0.1:8080", "my-run-id", "outputs/result.json")

Serve locally with the main CLI (subcommand is in the default binary; must allow bind explicitly):

cargo build -p skilllite --bin skilllite
SKILLLITE_ARTIFACT_SERVE_ALLOW=1 ./target/debug/skilllite artifact-serve --dir /tmp/art --bind 127.0.0.1:8080

Build from source

./scripts/build_wheels.sh