login
ODRL Secure Login Interface. Uses authorization keys from ~/.odrl/authorize.did to automatically unpackage protected skills from the vault.
Best use case
login is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
ODRL Secure Login Interface. Uses authorization keys from ~/.odrl/authorize.did to automatically unpackage protected skills from the vault.
Teams using login should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/login/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How login Compares
| Feature / Agent | login | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
ODRL Secure Login Interface. Uses authorization keys from ~/.odrl/authorize.did to automatically unpackage protected skills from the vault.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 🛡️ ODRL Login Skill The **ODRL Login** skill provides a streamlined, automated way to authorize your toolkit workspace. It acts as an orchestrator for the **Vault**, allowing users with a valid `authorize.did` file to restore all restricted capabilities in a single command. ## 🌟 Features 1. **Automated Authorization**: Automatically looks for the Master Private Key in `~/.odrl/authorize.did`. 2. **Bulk Unvaulting**: Scans `.gemini/vault/*.zip` and attempts to restore all skills using the authorized key. 3. **Conflict Resolution**: Uses `-o` (overwrite) to ensure that existing, potentially stale skill logic is replaced by the authorized, fresh version from the vault. 4. **Security Integration**: Designed for use in **Environment Setup** or **CI/CD** contexts where manual unvaulting of every individual skill is impractical. ## 🛠️ Usage ### Log In and Unvault Skills Restore all restricted skills to the `.gemini/skills/` directory using your authorization key: ```bash python3 .gemini/skills/login/scripts/login_orchestrator.py ``` ## 🏗️ Requirements - **Location**: Your DID authorization file MUST be at `~/.odrl/authorize.did`. - **Format**: The file must be a valid JSON-LD DID document following the **OOYDID** structure, containing a `keys.private_key` field. --- **Zero-Trust Protocol**: This skill is **Public** to allow bootstrapping, but the actual logic of the "Unvaulted" skills remains protected until the correct key is provided.
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