A specialized execution engine that ensures AI sub-agents strictly adhere to initial project rules and constraints to eliminate hallucinations.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install faithful-task-executor
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 faithful-task-executor 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 Faithful Task Executor?
The Faithful Task Executor is a robust system designed to solve the common problem of AI drift and hallucination in multi-step workflows. By utilizing rule persistence, this tool ensures that every sub-task or sub-agent maintains a "memory" of the original requirements, technical constraints, and forbidden actions defined at the start of a project.
Built as a core component for advanced Openclaw Skills, it forces high-fidelity execution through mandatory rule reading and validation phases. It is particularly effective for complex development tasks where architectural integrity and specific coding standards must be maintained across multiple concurrent sessions.
Faithful Task Executor Use Cases
- Managing multi-agent collaboration where sub-tasks must follow a central design document.
- Reducing AI hallucinations in long-running coding projects or documentation tasks.
- Enforcing strict security protocols and technical constraints in automated workflows.
- Parallel processing of large-scale code audits while maintaining consistency in reporting formats.
How Faithful Task Executor Works
- Rule Extraction: The system analyzes user input to identify explicit requirements, implicit constraints, and forbidden items, saving them to a persistent .task-rules/rules.md file.
- Task Decomposition: Large projects are broken down into granular sub-tasks with defined dependencies and concurrency strategies.
- Rule Propagation: Before any sub-agent begins work, it must explicitly read and confirm its understanding of the rules file.
- Consistency Validation: At every 25% progress interval, the executor performs a compliance check against the original rules.
- Final Delivery & Verification: The final output undergoes a comprehensive quality and fidelity audit to ensure no hallucinations occurred during the process.
Faithful Task Executor Setup
To integrate this skill into your environment, ensure you have the necessary template directory structure. Add the configuration to your project settings:
mkdir -p .task-rules
# Ensure the templates/ directory contains the required markdown templates
# Link the skill in your Openclaw Skills configuration file
Faithful Task Executor Data Schema & Taxonomy
The skill organizes data using a structured directory and markdown-based metadata taxonomy:
| File Path | Description |
|---|---|
.task-rules/rules.md |
The core source of truth containing functional and non-functional requirements. |
templates/ |
Contains the Sub-Agent, Task Plan, and Checklist templates. |
output/ |
Directory where sub-task results and validation reports are stored. |
Every execution record includes a versioning tag (e.g., v1.0) and a rule-compliance JSON object detailing any deviations or clarifications.
Faithful Task Executor Advanced Features
- Parallel Task Orchestration: Supports up to 5 concurrent sub-agents with automated rule propagation.
- Anti-Hallucination Guardrails: Mandatory source tracing requiring the AI to cite specific rules for every output generated.
- Ambiguity Clarification: Automatically pauses execution when a rule is vague (e.g., "make it beautiful") to seek user clarification.
- Automated Conflict Detection: Identifies and reports contradictions between different project rules or sub-task outputs.
SKILL.md
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