An essential pre-execution auditing tool that prevents sophisticated AI hallucinations by enforcing clean task boundaries and structured human-machine division of labor.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install task-boundary-auditor
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 task-boundary-auditor 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 Task Boundary Auditor?
The Task Boundary Auditor is a powerful framework built for Openclaw Skills designed to address a critical flaw in LLM behavior: the tendency to execute tasks beyond their cognitive capabilities while generating highly polished, completely incorrect responses known as sophisticated hallucinations.
By running a rapid pre-execution audit on incoming user requests, this skill evaluates the technical limits of the AI. It programmatically categorizes tasks into Prohibited, Restricted, or Safe zones. This ensures that actions requiring complex causal inference, extreme prediction, zero-omission guarantees, or physical intuition are flagged immediately, allowing the AI agent to propose a reliable, integrated human-machine workflow instead of failing silently.
Task Boundary Auditor Use Cases
- Pre-auditing complex text requests that demand high-stakes accuracy or absolute zero-omission guarantees.
- Handling mixed tasks that combine safe text processing with restricted data modeling or out-of-distribution trends.
- Automatically flagging requests involving real-time control, precise legal or medical judgments, and counterfactual logic.
- Structuring clear division-of-labor plans for development teams collaborating with autonomous AI agents.
How Task Boundary Auditor Works
- Task Parsing: The skill intercepts incoming user queries to parse and extract the core action verbs, target objects, and systemic constraints.
- Boundary Matching: It cross-references the extracted elements against a human-hardened boundary classification matrix spanning Prohibited, Restricted, and Safe zones.
- Verdict Generation: The agent outputs a structured decision tree template, defining whether to execute directly, route via a restricted human-in-the-loop workflow, or block the prohibited task entirely.
Task Boundary Auditor Setup
System Requirements
Ensure your agent system supports custom routing rulesets.
Core Installation
To integrate this auditing layer into your runtime workspace, load the skill definition into your project config:
# Initialize and register the skill in your local workspace
openclaw install task-boundary-auditor
# Validate configuration boundaries
openclaw test task-boundary-auditor --verbose
Task Boundary Auditor Data Schema & Taxonomy
Classification Taxonomy
The auditor organizes tasks into a rigid data matrix to dictate core agent execution flow:
| Zone Type | Signature / Focus | System Action |
|---|---|---|
| Prohibited Zone | Counterfactual reasoning, symbolic proofs, extreme predictions, zero-omission audits | Trigger Boundary Violation Block & halt execution |
| Restricted Zone | Short-chain causality, numerical estimation, draft proposals, pattern matching | Trigger Restricted Task Routing with mandatory disclaimers |
| Safe Zone | Text generation, localization, information extraction, summarization | Clear task for safe, direct autonomous execution |
Output Template Taxonomy
Depending on the evaluation matrix result, the skill builds responses mapping to three explicit structures: Boundary Violation Block, Restricted Task Routing, or Safe Clearance Markdown logs.
Task Boundary Auditor Advanced Features
- Decomposition of Mixed Tasks: Automatically tears down complex, multifaceted requests into independent sub-tasks to evaluate individual risk profiles.
- Sophisticated Hallucination Projection: Generates preventative breakdowns explaining precisely how an LLM would fail or generate false trust if allowed to execute a prohibited task.
- Hardened Boundary Compliance: Enforces locked classification settings preventing the autonomous agent from downgrading risk levels when pressured by user-asserted urgency.
SKILL.md
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