Skip to main content

SkillSafe CLI

The open-source Python CLI for SkillSafe — the secured skill registry for AI coding tools. Scan, save, share, install, and verify AI skills with security scanning and dual-side cryptographic verification.

Works with Claude Code, Cursor, Windsurf, Codex, Gemini CLI, OpenCode, Cline, Roo, Goose, Copilot, Kiro, Trae, AMP, Aider, and more.

Quick Start

No dependencies — uses only Python stdlib. Requires Python 3.8+.

pip3 install skillsafe
# Install a public skill (no account required)
skillsafe install @anthropics/pdf

# Sign in to save and share your own skills
skillsafe auth
skillsafe scan ./my-skill
skillsafe save ./my-skill --version 1.0.0
skillsafe share @myname/my-skill --version 1.0.0

Install

pip (recommended)

pip3 install skillsafe

AI coding tool

Tell your AI coding tool:

Install skillsafe from https://skillsafe.ai/skill.md

Commands

Authentication

Command Description
auth Sign in via browser. Saves API key to ~/.skillsafe/config.json
whoami Show current auth status, namespace, and masked API key

Scanning & Security

Command Description
scan <path> Run a 12-pass security scan (AST analysis, secrets, injection, structural mimicry, composite patterns, surplus functionality)
scan <path> -o report.json Save scan report as JSON
bom <path> Generate a Bill of Materials — inventory of files, APIs, capabilities
bom <path> -o bom.json Save BOM as JSON

Publishing

Command Description
init [path] Initialize a skillsafe.yaml manifest in a skill directory
lint [path] Validate a skillsafe.yaml manifest
save <path> --version <ver> Save a skill privately to the registry
share @ns/name --version <ver> Create a share link (requires email verification + scan report)
share @ns/name --version <ver> --public Share with public visibility (discoverable via search)
share @ns/name --version <ver> --expires 7d Share with expiration (1d, 7d, 30d, never)
yank @ns/name --version <ver> Yank a version — blocks future downloads

Installing

Command Description
install @ns/name Install to .agents/skills/ and auto-symlink to detected agents
install @ns/name --version <ver> Install a specific version
install @ns/name --tool claude Install directly into .claude/skills/
install @ns/name --tool cursor --location global Install to a tool's global skills directory
install @ns/name --skills-dir ./custom Install to a custom directory
install @ns/name --no-symlink Install to .agents/skills/ without creating symlinks
install <share-link> Install via a shr_ share link or URL

No account required for public skills. Authenticated installs enable dual-side verification.

Discovery

Command Description
search <query> Search public skills
search <query> --sort trending Sort by popular, recent, verified, trending, hot
search --category "code review" Filter by category
info @ns/name Show skill details, versions, and verification status
list List all locally installed skills across all agent directories

Updating

Command Description
update @ns/name Upgrade a specific installed skill to the latest version
update --all Upgrade all installed skills
update --all --tool claude Upgrade all skills for a specific tool
update --all --dry-run Preview upgrades without applying

Demos

Command Description
demo <json> @ns/name --version <ver> --title "My demo" Upload a demo recording

Evals & Benchmarks

Command Description
eval @ns/name --version <ver> --eval-json results.json Upload eval results
eval @ns/name --version <ver> --pass-rate 95 --test-cases 20 Upload eval metrics directly
benchmark @ns/name --version <ver> --runs 10 --avg-time 2.5 Upload benchmark results

Vault (Backup & Restore)

Command Description
backup <path> Back up a skill directory to the encrypted vault
restore @ns/name Restore a skill from the vault
restore @ns/name --tool claude --location global Restore to a specific tool directory

Import & Claim

Command Description
import <url> Import a skill from a GitHub or ClawHub URL
claim github.com/owner/repo Claim a GitHub repo as your skill on SkillSafe

Security Model

SkillSafe uses dual-side verification:

  1. Publisher scans before sharing
  2. Consumer re-scans after download
  3. Server compares both reports

Tree hashes (SHA-256 of archive content) detect tampering. Verdicts: verified, divergent, critical.

The scanner runs 12 analysis passes including AST parsing, regex pattern matching, credential detection, prompt injection analysis, and composite behavioral patterns.

File Structure

pyproject.toml             # Package metadata
src/skillsafe/             # Python package
    __init__.py            # Public API: Scanner, SkillSafeClient
    __main__.py            # python -m skillsafe support
    _cli.py                # CLI implementation (stdlib only)
SKILL.md                   # Skill definition (source of truth)
LICENSE                    # MIT

License

MIT

Metadata

Release files for skillsafe 0.1.7

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for skillsafe 0.1.7
File Size Uploaded
skillsafe-0.1.7.tar.gz 66.6 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for skillsafe 0.1.7
File Interpreter ABI Platform
skillsafe-0.1.7-py3-none-any.whl Python 3 none any Details

Total release size: 132.3 kB

Release files / skillsafe-0.1.7.tar.gz

Download URL skillsafe-0.1.7.tar.gz
Size 66.6 kB
Tags Source
SHA-256 checksum
How to use checksums
645888ec800873b720a578aa582568e06b90cba2c29cda5776f17baff87111b6
BLAKE2b-256 checksum
How to use checksums
e30844290716ed3f88a7ec67ea9f7cac3fa3dc9a2ae0c8cc8b9526131c67140c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.10.10

Release files / skillsafe-0.1.7-py3-none-any.whl

Download URL skillsafe-0.1.7-py3-none-any.whl
Size 65.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
a8a875111fd75e15b181419108515a928193ad7d15bc66efbd9090d5a876887f
BLAKE2b-256 checksum
How to use checksums
6f6f63bae4b988c2500d072dda2bb56ff4a3ad7234a05d30031abe05f1fca4b3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.10.10

Release history Release notifications | RSS feed

This release

0.1.7 This release

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page