A framework to stabilize AI Agent execution by replacing soft prompts with hard-coded gate scripts and persistent style contexts.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install jz-workflow-enforcer
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 jz-workflow-enforcer 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 Agent Workflow Enforcer?
The Agent Workflow Enforcer is designed to solve the critical issue of AI agents ignoring instructions or forgetting rules as context windows compress. By moving operational rules from the system prompt into executable gate scripts and mandatory output structures, it ensures that your agentic workflows remain predictable and stable.
This package for Openclaw Skills operates on the core principle that rules written in code are requirements, whereas rules written in prompts are merely suggestions. It provides a robust architecture for developers to enforce checklists, maintain stylistic continuity across multi-step tasks, and implement a learning loop from human corrections.
Agent Workflow Enforcer Use Cases
- Preventing AI agents from bypassing safety or quality checks before code deployment.
- Maintaining consistent visual and tonal branding across segmented content creation tasks.
- Standardizing multi-agent interactions by requiring uniform checklist-based acknowledgments.
- Enforcing specific file path conventions and metadata standards during automated refactoring.
How Agent Workflow Enforcer Works
- The AI agent triggers a mandatory Gate script (gate.py) tailored to the specific task type such as code, content, or deployment.
- The gate script outputs a checklist that the agent must explicitly confirm item-by-item before proceeding.
- For multi-part projects, a Style Context file is generated to store project-specific parameters, ensuring subsequent batches maintain continuity.
- The system enforces specific output formats, requiring the agent to include completion checklists in its responses.
- If the agent detects human modifications to its output, it runs a learning detection script to update its internal rules for future iterations.
Agent Workflow Enforcer Setup
Installation
You can quickly add this tool to your environment using the Openclaw Skills manager:
npx clawhub@latest install agent-workflow-enforcer
Configuration
Integrate the enforcer into your AGENTS.md or system prompt by adding the following enforcement blocks:
## Workflow Enforcer
### Gate Scripts
Run before tasks: `python3 ~/skills/agent-workflow-enforcer/scripts/gate.py <type>`
### Required Output Format
- Start: Must output a Checklist block.
- Finish: Must output a Pre-publish block.
Agent Workflow Enforcer Data Schema & Taxonomy
The skill organizes its enforcement logic and history through the following structure:
| File/Folder | Description |
|---|---|
scripts/gate.py |
The primary entry point for task validation gates. |
style-context.yaml |
A persistent file storing styles, colors, and project-specific elements. |
learnings.jsonl |
A log of detected corrections used to refine future agent behavior. |
templates/ |
Pre-defined YAML configurations for custom gate triggers and agent snippets. |
Agent Workflow Enforcer Advanced Features
- Custom Gate Logic: Define unique validation rules for specific business domains using the
gate-config.yamltemplate. - Persistent Style Context: Bridges the gap between disconnected sessions by saving project-wide metadata that agents must read before starting new segments.
- Learning Loop: Automatically analyzes the difference between agent output and human edits to suggest new operational rules.
- Multi-Platform Support: Built-in logic for various platforms like GitHub for code or X for content publishing within Openclaw Skills.
SKILL.md
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