dhub-cli: The AI Skill Manager
Decision Hub is a registry for publishing, discovering, and installing Skills — modular packages of code and prompts that AI coding agents (Claude, Cursor, Codex, Gemini, OpenCode) can use.
Browse the registry at hub.decision.ai or use the CLI below.
Why Decision Hub?
Agents that extend themselves. Install Decision Hub as a skill into any supported agent, and the agent can discover new skills in natural language — then install and use them mid-conversation without human intervention.
Publish from anywhere. Point dhub publish at a local directory or a GitHub repo URL and every valid SKILL.md inside is discovered, versioned, and published.
Private skills for your team. Skills can be scoped to your GitHub organization so proprietary tooling stays internal.
Install once, use everywhere. A single dhub install symlinks a skill into every agent's skill directory — Claude, Cursor, Codex, Gemini, OpenCode. No duplication, no per-agent setup.
Security gauntlet. Every publish is scanned for dangerous patterns. Skills get a trust grade (A/B/C/F) before they reach the registry.
Automated evals in sandboxes. Skills ship with eval cases that run on publish in isolated sandboxes, scored by an LLM judge.
Executable skills with SKILL.md. Builds on the Agent Skills spec with runtime and evals blocks — skills are runnable programs, not just static prompts.
Installation
# Via uv (recommended)
uv tool install dhub-cli
# Via pipx
pipx install dhub-cli
Quick Start
# 1. Authenticate via GitHub
dhub login
# 2. Search for skills using natural language
dhub ask "analyze A/B test results"
# 3. Install a skill for all your agents
dhub install pymc-labs/causalpy
# 4. Scaffold a new skill
dhub init my-new-skill
# 5. Publish it under your namespace
# (Run this inside the skill directory)
dhub publish .
Supported Agents
Skills are installed as symlinks into each agent's skill directory, making them immediately available:
- Claude:
~/.claude/skills - Cursor:
~/.cursor/skills - Codex:
~/.codex/skills - Gemini:
~/.gemini/skills - OpenCode:
~/.config/opencode/skills
Documentation
For full documentation on creating skills, the SKILL.md format, and running your own registry server, see the main repository.
Metadata
Release files for dhub-cli 0.12.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dhub_cli-0.12.3.tar.gz | 65.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dhub_cli-0.12.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 110.0 kB
Release files / dhub_cli-0.12.3.tar.gz
| Download URL | dhub_cli-0.12.3.tar.gz |
|---|---|
| Size | 65.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.10.12 {"installer":{"name":"uv","version":"0.10.12","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
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Release files / dhub_cli-0.12.3-py3-none-any.whl
| Download URL | dhub_cli-0.12.3-py3-none-any.whl |
|---|---|
| Size | 44.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.10.12 {"installer":{"name":"uv","version":"0.10.12","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
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