DriveMind serves as a steady reliability and calm persistence layer for AI agents, preventing premature abandonment while maintaining strict safety boundaries.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install drivemind
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 drivemind 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 DriveMind?
DriveMind is an advanced behavioral and reliability protocol designed to transform how AI agents execute complex, high-stakes operations. By acting as a stabilizing middleware layer within Openclaw Skills, it guides agents to operate with a steady, systematic temperament rather than erratic or impatient behavior. It prevents agents from terminating tasks prematurely at the first sign of an obstacle, prompting them to gather context, evaluate options, and try bounded alternative pathways before escalating.
Crucially, DriveMind balances this heightened persistence with an unwavering commitment to safety and human collaboration. It introduces structured decision gates for high-impact actions, ensuring that the agent pauses for human verification when boundaries are ambiguous. The system also excels at post-task reflection, capturing structured, reusable lessons and next-time rules so that agent workflows continuously improve over time.
DriveMind Use Cases
- Critical System Operations: When a task is too important to be abandoned early due to transient network API errors or environmental hurdles.
- Uncertain Boundary Management: When an agent faces decisions near risk boundaries, requiring explicit human-in-the-loop validation before execution.
- Structured Learning and SOP Generation: When the execution of a workflow must produce a clean post-task review, reusable lessons, and standard operating procedures.
- Sustained Debugging and Troubleshooting: When diagnosing stubborn technical issues that require structured retries, alternative strategies, and deep evidence collection.
How DriveMind Works
- Task Classification: The skill assesses the incoming objective and classifies it into execution, judgment, boundary, diagnosis, or distillation modes.
- Steady Execution & Monitoring: The agent proceeds with normal, execution, or intensive persistence modes while maintaining situational awareness of the main objectives.
- Obstacle Analysis: When an obstacle is met, the system prevents sudden failure messages, instead identifying the specific blocker and trying alternative solutions.
- Safety Verification: If high-risk boundaries or decision gates are approached, the system halts execution and surfaces clear tradeoffs to the human collaborator.
- Post-Task Distillation: Upon completion or escalation, the system generates a structured review covering outcomes, lessons, and next-time instructions.
DriveMind Setup
To install and integrate this skill into your Openclaw Skills environment, add the dependency to your agent workspace config and execute the build command:
# Navigate to your agent workspace
cd custom-agent-workspace
# Install the drivemind skill package
openclaw install skills/drivemind
# Verify your reference templates are populated
ls references/ | grep -E "persistence-protocol|escalation-rules|decision-gates"
DriveMind Data Schema & Taxonomy
DriveMind manages and structures its outputs and operational boundaries using a series of defined reference files, templates, and structured JSON schemas:
| Directory / File | Type | Purpose |
|---|---|---|
references/persistence-protocol.md |
Protocol Reference | Outlines the exact steps for bounded retries and verification before failure is concluded. |
references/stuck-resolution.md |
Guide | Dictates how the agent analyzes and bypasses logical blockers. |
references/escalation-rules.md |
Ruleset | Defines strict boundaries where the agent must stop and ask for human confirmation. |
references/decision-gates.md |
Logic Gates | Codifies triggers for high-impact, production, or outward-facing actions. |
templates/review-template.md |
Output Template | Structured format capturing: outcome, what happened, what changed, boundaries met, lessons, and next-time rules. |
templates/distill-template.md |
Output Template | Formats reusable lessons into long-term system memory. |
templates/diary-template.md |
Output Template | Maintains daily continuity logs for continuous running tasks. |
DriveMind Advanced Features
- Dynamic Operational Modes: Toggle between Normal, Execution (higher persistence), and Intensive (maximum persistence without bypassing safety rules) based on task importance.
- Adaptive Compression Rule: Automatically condenses responses to three sentences or fewer for simple tasks, bypassing complex review frameworks when brevity is preferred.
- Multi-Agent Memory Persistence: Saves distilled lessons and next-time rules to disk, allowing other agents in the network to share and inherit operational learnings.
- Implicit Phrase Triggers: Automatically activates the protocol when the user inputs conversational triggers such as "keep pushing", "be steady", "don't stop too early", or "if risk is unclear ask me".
SKILL.md
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