Solid Enforcer
Solid Enforcer ensures consistent responses by rigidly adhering to a defined prompt structure – useful for predictable outputs and controlled conversations.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add solid-enforcer npx -- -y @trustedskills/solid-enforcer
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"solid-enforcer": {
"command": "npx",
"args": [
"-y",
"@trustedskills/solid-enforcer"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The solid-enforcer skill ensures that AI agent outputs adhere to a predefined set of rules and constraints. It's designed to prevent undesirable or unsafe content generation by enforcing specific guidelines, making the output more reliable and predictable. This skill is particularly useful for maintaining brand consistency and legal compliance in automated communications.
When to use it
- Content Moderation: When generating text that needs to be carefully controlled for sensitive topics (e.g., financial advice, medical information).
- Brand Voice Enforcement: To ensure all AI-generated content aligns with a specific brand tone and style guide.
- Legal Compliance: When outputs must comply with legal regulations or internal policies regarding language and claims.
- Safety Protocols: To prevent the generation of harmful, biased, or inappropriate content in any application.
Key capabilities
- Rule enforcement
- Content constraint
- Output reliability
- Brand consistency
Example prompts
- "Generate a product description for our new widget, ensuring it adheres to the brand voice guidelines."
- "Write an email response to this customer complaint, but do not mention any specific legal terms or disclaimers."
- “Draft a social media post promoting our service, making sure it stays within the approved content boundaries.”
Tips & gotchas
The effectiveness of solid-enforcer depends on clearly defined and comprehensive rules. Vague or conflicting rules can lead to unexpected behavior; therefore, careful rule design is essential for optimal results.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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Passed automated security scans.