premortemActivate when: user says 'let's check what could go wrong before we commit', 'I want to stress-test this plan', 'we're about to launch and I'm worried we're...
Install via ClawdBot CLI:
clawdbot install jcools1977/premortemGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/jcools1977/OpengnawAudited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
Before committing code changes to a shared repository, the AI agent uses Premortem to identify potential bugs, security vulnerabilities, or integration issues. This prevents introducing errors that could break builds or cause production incidents, ensuring higher code quality and reducing rework.
When generating financial reports or analyses, the AI agent applies Premortem to check for data inaccuracies, outdated information, and misinterpretations. This helps avoid costly errors in financial decision-making, ensuring compliance and reliability in high-stakes environments.
In creating patient treatment plans or medical recommendations, the AI agent uses Premortem to identify potential side effects, missing contraindications, or incomplete data. This enhances patient safety by preventing harmful oversights and aligning with clinical guidelines.
Before finalizing marketing strategies or content, the AI agent runs Premortem to detect unintended messaging, audience misalignment, or regulatory non-compliance. This reduces the risk of brand damage and improves campaign effectiveness through proactive error prevention.
When proposing supply chain adjustments or logistics plans, the AI agent employs Premortem to foresee disruptions, dependency failures, or cost overruns. This minimizes operational risks and ensures smoother implementation in dynamic environments.
Offer Premortem as a premium feature within existing AI platforms or development tools, charging a subscription fee per user or usage tier. This model leverages its zero-dependency nature to enhance product value without additional infrastructure costs.
Provide consulting services to organizations for integrating Premortem into their AI workflows, along with training programs for teams to adopt the cognitive pattern. Revenue comes from project-based fees and workshop packages.
Release Premortem as open-source software to build community adoption, then monetize through enterprise support, customization, and premium features for large-scale deployments. This model fosters trust and widespread use while generating revenue from high-value clients.
💬 Integration Tip
Start by applying Premortem to low-stakes actions to build familiarity, then scale up to critical tasks using the intensity scaling guidelines to avoid overcomplication.
Scored Jun 19, 2026
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Stop waiting for prompts. Keep working.
Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance.
Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with dynamically generated SKILL.md files, coordinates file-based communication, consolidates results, and dissolves agents upon completion. MANDATORY TRIGGERS: orchestrate, multi-agent, decompose task, spawn agents, sub-agents, parallel agents, agent coordination, task breakdown, meta-agent, agent factory, delegate tasks
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Complete toolkit for creating autonomous AI agents and managing Discord channels for OpenClaw. Use when setting up multi-agent systems, creating new agents, or managing Discord channel organization.