A critical OpenClaw security policy gate that limits agent risk, isolates actions, verifies outcomes, and enables safe recovery.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install sandbox-blast-radius-control-engine
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install sandbox-blast-radius-control-engine using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Sandbox & Blast-Radius Control Engine X∞ is a distributed runtime security layer for OpenClaw. It sits between an agent’s intent and tool execution, requiring every medium-, high-, and critical-risk action to pass through assess, authorize, isolate, execute, verify, and recover or rollback stages.
This Openclaw Skills security engine applies least privilege, risk classification, dry-run planning, change previews, backup verification, atomic operations, audit trails, observability, and explicit confirmation for destructive or production actions. It helps agents remain powerful while ensuring each action has a defined scope, authorization boundary, verification method, and recovery path.
--plan option when available; otherwise preview what will change, why, where, expected results, risks, and rollback steps.TEMP → VERIFY → MOVE/REPLACE over deleting the old state before creating a replacement.This skill is a runtime policy and guardrail layer, not a standalone command-line tool or executable package. The specification does not define a package manager command, environment variable set, or separate daemon. Install it through the standard OpenClaw skill-loading mechanism as a workspace-level security skill, using the supplied SKILL.md metadata and policy content.
CRITICAL for the guardrail itself.agent-observability-trace-engine for trace events.agent-evaluation-benchmark-engine for success, failure, regression, recovery, and performance evaluation.No action should be considered complete until the actual state has been verified.
| Field | Value |
|---|---|
| Name | Sandbox & Blast-Radius Control Engine X∞ |
| Slug | sandbox-blast-radius-control-engine |
| Version | 1.1.0 |
| Type | Security / runtime policy |
| Risk level | Critical |
| License | MIT |
| Status | Active |
| Compliance | X∞ 21-node mandatory structure v1.0.0 |
| Principles | 15 |
| Owner | pmuhammadagus-byte |
Important operations should record who, what, when, target, authorization, result, and rollback without storing secrets. Long-running work should checkpoint task, progress, completed, remaining, dependencies, and last-safe-state.
Emit START, ACTION, ERROR, RETRY, SUCCESS, FAILURE, and ROLLBACK events. Each event should include risk_level and blast_radius; credentials and secrets must never be included in logs, memory, output, or traces.
--plan, manual preview, backup verification, checkpointing, and atomic replacement patterns.Loading
Turn AI-generated content disclosure requirements into an auditable review plan, labeling strategy, metadata ledger, and pre-publication checklist.

Turn authorized product photos, packaging details, and launch goals into reviewable AI unboxing video plans, scripts, generation tasks, and validated deliverables.

An AI literacy teaching and lesson-planning skill that transforms course materials into privacy-aware, interactive, and discipline-specific learning experiences.

An AI-powered IMIVA MCP workflow for creating conversion-focused Etsy product images, detail pages, videos, and marketing content.

Turn authorized livestream replays into evidence-based highlight timestamps, short-video scripts, subtitles, covers, and publish-ready vertical clips.

A practical AI-HIVE migration and Token Hub alternative skill for auditing model compatibility, routing workloads, validating costs, and safely scaling image, video, and commerce generation.








































