Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Local approval system for managing agent permissions. Use CLI to approve/deny requests, view history, and manage auto-approved categories.
Local approval system for managing agent permissions. Use CLI to approve/deny requests, view history, and manage auto-approved categories.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
A local approval system that manages agent permissions with auto-approve lists and approval history tracking.
# List pending requests python C:\Users\Shai\.openclaw\skills\local-approvals\cli.py list # Approve a request python C:\Users\Shai\.openclaw\skills\local-approvals\cli.py approve abc123 # Deny a request python C:\Users\Shai\.openclaw\skills\local-approvals\cli.py deny abc123 # Show approval history python C:\Users\Shai\.openclaw\skills\local-approvals\cli.py history # Reset an agent's categories python C:\Users\Shai\.openclaw\skills\local-approvals\cli.py reset assistant
Approve a pending request by ID. python cli.py approve <request_id> [--learn] [--reviewer <name>] Options: --learn: Add the category to the agent's auto-approve list --reviewer: Who is approving (default: "user") Example: python cli.py approve abc123 --learn
Deny a pending request by ID. python cli.py deny <request_id> [--reviewer <name>] Options: --reviewer: Who is denying (default: "user") Example: python cli.py deny abc123
List all pending requests, optionally filtered by agent. python cli.py list [--agent <agent_id>] Options: --agent: Filter requests by agent ID Example: python cli.py list --agent assistant
Show approval history from state.json. python cli.py history [--limit <number>] Options: --limit: Maximum number of entries to show (default: 20) Example: python cli.py history --limit 50
Reset an agent's auto-approved categories list. python cli.py reset <agent_id> Example: python cli.py reset assistant
Show auto-approved categories for one or all agents. python cli.py categories [--agent <agent_id>] Options: --agent: Show categories for specific agent Example: python cli.py categories --agent planner
The skill maintains two JSON files in the state directory: state.json: Auto-approve lists and approval history pending.json: Pending approval requests Location: ~/.openclaw/skills/local-approvals/
The core.py module provides the underlying functionality: check_auto_approve(agent, category) - Check if a category is auto-approved submit_request(agent, category, operation, reasoning) - Submit a pending request learn_category(agent, category) - Add category to auto-approve list get_request(request_id) - Retrieve a request by ID update_request(request_id, decision, reviewer) - Update request with decision list_pending(agent) - List pending requests get_agent_approvals(agent) - Get agent's auto-approved categories
Review before approving: Always check the operation and reasoning before approving Use auto-learn carefully: Only use --learn for trusted categories that you want to auto-approve Check history regularly: Review history to understand approval patterns Reset when needed: Use reset to clear an agent's auto-approve list if you suspect issues
# 1. Check what's pending python cli.py list # 2. Review the request details (output shows agent, category, operation, reasoning) # ID: abc123 # Agent: assistant # Category: file_write # Operation: Create config file # Reasoning: Setting up new environment # 3. Approve and auto-learn this category for future python cli.py approve abc123 --learn # 4. Verify it was approved python cli.py list # Should show no pending requests # 5. Check history python cli.py history # 6. View auto-approved categories python cli.py categories
# View all auto-approved categories python cli.py categories # View categories for a specific agent python cli.py categories --agent assistant # Reset an agent's categories (clear all auto-approvals) python cli.py reset assistant
The CLI is designed to be used both interactively and programmatically. Exit codes: 0: Success 1: Error (request not found, agent not found, etc.)
cli.py - Command-line interface (this file) core.py - Core approval functions schemas/ - JSON schema definitions schemas/state.json - State schema template schemas/pending.json - Pending requests schema template
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