Sara is a specialized logic guard that audits and secures high-impact multi-skill workflows to prevent execution errors.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install sara
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install sara using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Sara Logic Guard?
Sara serves as a critical safety layer for AI agents, specifically engineered to prevent ordering mistakes in complex sequences. As a key component within the ecosystem of Openclaw Skills, it analyzes plans involving multiple tools—especially those that are destructive, external, or handle sensitive data—to ensure a logical and safe execution order. By enforcing rigorous safety rules like backup before delete and preview before publish, Sara minimizes the risk of irreversible errors in automated environments.
This skill acts as a silent auditor, intervening only when a proposed plan violates safety heuristics. It is particularly valuable for developers building agents that interact with production databases, social media APIs, or financial systems where the order of operations is as important as the actions themselves.
Sara Logic Guard Use Cases
- Preventing data loss by ensuring backups occur before any delete, wipe, or truncate actions.
- Verifying calendar availability and status before initiating flight or hotel booking sequences.
- Reviewing content drafts and previews before they are published to external platforms or sent to mailing lists.
- Requesting and verifying necessary permissions before attempting to read or modify private data.
- Securing repository management by auditing repo-destructive commands in CI/CD workflows.
How Sara Logic Guard Works
- The AI agent compiles a proposed list of tool or skill actions for a multi-step plan.
- The agent executes the audit script located at scripts/run_audit.py, passing the plan as input.
- Sara evaluates the sequence against a set of hard safety rules and logic guardrails.
- The script returns a structured JSON assessment including a safety boolean, risk level, and suggested execution order.
- If the plan is marked as unsafe, the agent pauses to present the risks and the corrected sequence to the user for confirmation before proceeding.
Sara Logic Guard Setup
To integrate Sara into your environment for Openclaw Skills, ensure the audit script is accessible within your skill directory. You can test the setup using the following command:
python scripts/run_audit.py --plan '{"tools":["backup","delete"]}'
Configure your agent's system prompt to trigger Sara whenever a workflow involves two or more skills where at least one step is irreversible, externally visible, or handles sensitive permissions.
Sara Logic Guard Data Schema & Taxonomy
Sara utilizes a structured format for auditing plans and reporting results. The following table describes the audit output schema:
| Field | Type | Description |
|---|---|---|
| is_safe | Boolean | True if the sequence follows safety protocols; false otherwise. |
| risk_level | String | Categorizes the danger of the plan (e.g., low, medium, critical). |
| warnings | Array | Detailed strings explaining why a sequence was flagged. |
| suggested_order | Array | The optimized, safe order of tool execution recommended by Sara. |
Sara Logic Guard Advanced Features
- Multi-skill sequence auditing for complex, multi-agentic workflows.
- Hardcoded safety heuristics including backup-before-delete and preview-before-publish protocols.
- Dynamic risk level assessment that adjusts based on the destructive potential of the tools involved.
- Automated suggestion engine for reordering high-risk tool calls to meet safety requirements.
- Seamless JSON-based integration designed for direct consumption by LLM-based coding agents.
SKILL.md
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