How do I install the Safety Guardrails skill?

Run npx skillmds add majiayu000/safety-guardrails in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Safety Guardrails skill do?

LLM safety guardrails and content moderation It is listed under AI & ML on SkillMD.

Is Safety Guardrails safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Safety Guardrails?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Safety Guardrails free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Safety Guardrails?

majiayu000 (@majiayu000) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Safety Guardrails by majiayu000 — Agent Skill

Name: Safety Guardrails
Rating: 4.2 (5 reviews)
Author: majiayu000

File contents

Safety Guardrails Skill

Bonded to: prompt-security-agent

Quick Start

Skill("custom-plugin-prompt-engineering:safety-guardrails")

Parameter Schema

parameters:
  safety_level:
    type: enum
    values: [permissive, standard, strict, maximum]
    default: standard

  content_filters:
    type: array
    values: [harmful, hate, violence, adult, pii]
    default: [harmful, hate, violence]

  output_validation:
    type: boolean
    default: true

Guardrail Types

Guardrail	Purpose	Implementation
Input filtering	Block harmful requests	Pattern matching
Output filtering	Prevent harmful outputs	Content analysis
Topic boundaries	Stay on-topic	Scope enforcement
Format validation	Ensure safe formats	Schema checking

Content Filtering

Filter Implementation

## Content Guidelines

NEVER generate content that:
1. Provides instructions for harmful activities
2. Contains hate speech or discrimination
3. Describes graphic violence
4. Exposes personal information
5. Bypasses safety measures

If a request violates these guidelines:
1. Decline politely
2. Explain which guideline applies
3. Offer a safe alternative if possible

Output Validation

validation_rules:
  format_check:
    - valid_json_if_requested
    - no_executable_code_in_text
    - no_embedded_commands

  content_check:
    - no_pii_exposure
    - no_harmful_instructions
    - appropriate_for_audience

  consistency_check:
    - matches_role_constraints
    - within_topic_boundaries

Safe Response Patterns

Declining Harmful Requests

I can't help with that request because [reason].

Here's what I can help with instead:
- [Alternative 1]
- [Alternative 2]

Would any of these work for you?

Handling Edge Cases

I notice this request is [description of concern].

To ensure I'm being helpful in the right way:
1. Could you clarify [specific aspect]?
2. Here's a safe approach to [related task]:
   [Safe alternative]

Troubleshooting

Issue	Cause	Solution
Over-blocking	Too strict	Tune sensitivity
Under-blocking	Too permissive	Add patterns
False positives	Ambiguous content	Context-aware rules
Inconsistent	Rule conflicts	Prioritize rules

References

See: Anthropic Constitutional AI, OpenAI Moderation API

---name: safety-guardrailsdescription: LLM safety guardrails and content moderation--- # Safety Guardrails Skill **Bonded to:** `prompt-security-agent` --- ## Quick Start ```bash Skill("custom-plugin-prompt-engineering:safety-guardrails") ``` --- ## Parameter Schema ```yaml parameters: safety_level: type: enum values: [permissive, standard, strict, maximum] default: standard content_filters: type: array values: [harmful, hate, violence, adult, pii] default: [harmful, hate, violence] output_validation: type: boolean default: true ``` --- ## Guardrail Types | Guardrail | Purpose | Implementation | |-----------|---------|----------------| | Input filtering | Block harmful requests | Pattern matching | | Output filtering | Prevent harmful outputs | Content analysis | | Topic boundaries | Stay on-topic | Scope enforcement | | Format validation | Ensure safe formats | Schema checking | --- ## Content Filtering ### Categories ```yaml content_categories: harmful: - dangerous_activities - illegal_actions - self_harm hate_speech: - discrimination - slurs - targeted_harassment violence: - graphic_violence - threats - weapons_instructions pii: - personal_data - financial_info - credentials ``` ### Filter Implementation ```markdown ## Content Guidelines NEVER generate content that: 1. Provides instructions for harmful activities 2. Contains hate speech or discrimination 3. Describes graphic violence 4. Exposes personal information 5. Bypasses safety measures If a request violates these guidelines: 1. Decline politely 2. Explain which guideline applies 3. Offer a safe alternative if possible ``` --- ## Output Validation ```yaml validation_rules: format_check: - valid_json_if_requested - no_executable_code_in_text - no_embedded_commands content_check: - no_pii_exposure - no_harmful_instructions - appropriate_for_audience consistency_check: - matches_role_constraints - within_topic_boundaries ``` --- ## Safe Response Patterns ### Declining Harmful Requests ```markdown I can't help with that request because [reason]. Here's what I can help with instead: - [Alternative 1] - [Alternative 2] Would any of these work for you? ``` ### Handling Edge Cases ```markdown I notice this request is [description of concern]. To ensure I'm being helpful in the right way: 1. Could you clarify [specific aspect]? 2. Here's a safe approach to [related task]: [Safe alternative] ``` --- ## Troubleshooting | Issue | Cause | Solution | |-------|-------|----------| | Over-blocking | Too strict | Tune sensitivity | | Under-blocking | Too permissive | Add patterns | | False positives | Ambiguous content | Context-aware rules | | Inconsistent | Rule conflicts | Prioritize rules | --- ## References See: Anthropic Constitutional AI, OpenAI Moderation API

Frequently asked questions