SKILL.md
Agent Safety
Implement safety systems for responsible AI agent deployment.
When to Use This Skill
Invoke this skill when:
- Adding input/output guardrails
- Implementing content filtering
- Setting up rate limiting
- Ensuring compliance (GDPR, SOC2)
Parameter Schema
| Parameter | Type | Required | Description | Default |
|---|---|---|---|---|
task |
string | Yes | Safety goal | - |
risk_level |
enum | No | strict, moderate, permissive |
strict |
filters |
list | No | Filter types to enable | ["injection", "pii", "toxicity"] |
Quick Start
from guardrails import Guard
from guardrails.validators import ToxicLanguage, PIIFilter
guard = Guard.from_validators([
ToxicLanguage(threshold=0.8, on_fail="exception"),
PIIFilter(on_fail="fix")
])
# Validate output
validated = guard.validate(llm_response)Guardrail Types
Input Guardrails
# Prompt injection detection
INJECTION_PATTERNS = [
r"ignore (previous|all) instructions",
r"you are now",
r"forget everything"
]Output Guardrails
# Content filtering
filters = [
ToxicityFilter(),
PIIRedactor(),
HallucinationDetector()
]Rate Limiting
class RateLimiter:
def __init__(self, rpm=60, tpm=100000):
self.rpm = rpm
self.tpm = tpm
def check(self, user_id, tokens):
# Token bucket algorithm
passTroubleshooting
| Issue | Solution |
|---|---|
| False positives | Tune thresholds |
| Injection bypass | Add LLM-based detection |
| PII leakage | Add secondary validation |
| Performance hit | Cache filter results |
Best Practices
- Defense in depth (multiple layers)
- Fail-safe defaults (deny by default)
- Audit everything
- Regular red team testing
Compliance Checklist
- Input validation active
- Output filtering enabled
- Audit logging configured
- Rate limits set
- PII handling compliant
Related Skills
tool-calling- Input validationllm-integration- API securitymulti-agent- Per-agent permissions