'Implement content moderation, model selection policy, citation quality
Scanned 9/2/2026
Install to Claude Code
npx -y skills add jeremylongshore/tons-of-skills-marketplace --skill perplexity-policy-guardrails --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Perplexity Policy Guardrails?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/jeremylongshore-perplexity-policy-guardrails-tons-of-skills-marketplace)More formats (shields.io, HTML) on the badges page.
---
name: perplexity-policy-guardrails
description: 'Implement content moderation, model selection policy, citation quality
enforcement,
and per-user usage quotas for Perplexity Sonar API.
Trigger with phrases like "perplexity policy", "perplexity guardrails",
"perplexity content moderation", "perplexity usage limits", "perplexity safety".
'
allowed-tools: Read, Write, Edit, Bash(npx:*)
version: 1.12.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
tags:
- saas
- perplexity
- perplexity-policy
compatibility: Designed for Claude Code
---
# Perplexity Policy Guardrails
## Overview
Policy enforcement for Perplexity Sonar API. Since Perplexity performs live web searches, guardrails must address: query content moderation (what users can search for), citation reliability (filtering low-quality sources), cost control (model selection + token limits), and responsible AI usage.
## Policy Pipeline
```
User Query
│
▼
Query Moderation (block harmful queries)
│
▼
PII Sanitization (strip personal data)
│
▼
Quota Check (daily limit by user tier)
│
▼
Model Selection (enforce tier-appropriate model)
│
▼
Perplexity API Call
│
▼
Citation Quality Scoring (filter low-trust sources)
│
▼
Response to User
```
## Prerequisites
- Perplexity API configured
- Content moderation policy defined
- User tier system in place
- Redis for quota tracking (optional: in-memory for simple apps)
## Instructions
### Step 1: Query Content Moderation
```typescript
const BLOCKED_PATTERNS = [
/\b(write|generate|create)\s+(malware|virus|exploit|ransomware)\b/i,
/\b(personal|private)\s+(address|phone|ssn)\s+of\s+\w+/i,
/\b(bypass|circumvent|hack)\s+(security|firewall|authentication)\b/i,
/\b(how to|tutorial)\s+(stalk|dox|harass)\b/i,
];
const MAX_QUERY_LENGTH = 2000;
class PolicyError extends Error {
constructor(public code: string, message: string) {
super(message);
this.name = "PolicyError";
}
}
function moderateQuery(query: string): string {
if (query.length > MAX_QUERY_LENGTH) {
throw new PolicyError("QUERY_TOO_LONG", `Query exceeds ${MAX_QUERY_LENGTH} characters`);
}
for (const pattern of BLOCKED_PATTERNS) {
if (pattern.test(query)) {
throw new PolicyError("CONTENT_BLOCKED", "Query blocked by content policy");
}
}
return query;
}
```
### Step 2: Model Selection Policy
```typescript
interface ModelPolicy {
model: string;
maxTokens: number;
costPerRequest: number;
}
const MODEL_POLICIES: Record<string, ModelPolicy> = {
free: { model: "sonar", maxTokens: 256, costPerRequest: 0.005 },
basic: { model: "sonar", maxTokens: 1024, costPerRequest: 0.005 },
pro: { model: "sonar-pro", maxTokens: 2048, costPerRequest: 0.02 },
enterprise: { model: "sonar-pro", maxTokens: 4096, costPerRequest: 0.02 },
};
function enforceModelPolicy(
userTier: string,
requestedModel?: string
): ModelPolicy {
const policy = MODEL_POLICIES[userTier] || MODEL_POLICIES.free;
// Prevent free users from using expensive models
if (requestedModel === "sonar-pro" && !["pro", "enterprise"].includes(userTier)) {
console.warn(`User tier ${userTier} not allowed sonar-pro, using sonar`);
return MODEL_POLICIES.free;
}
return requestedModel ? { ...policy, model: requestedModel } : policy;
}
```
### Step 3: Per-User Usage Quotas
```typescript
class UsageQuota {
private usage: Map<string, { count: number; resetAt: number }> = new Map();
private readonly limits: Record<string, number> = {
free: 50,
basic: 200,
pro: 1000,
enterprise: 5000,
};
check(userId: string, tier: string = "free"): void {
const key = `${userId}:${new Date().toISOString().slice(0, 10)}`;
const entry = this.usage.get(key) || { count: 0, resetAt: this.endOfDay() };
// Reset if past end of day
if (Date.now() > entry.resetAt) {
entry.count = 0;
entry.resetAt = this.endOfDay();
}
const limit = this.limits[tier] || this.limits.free;
if (entry.count >= limit) {
throw new PolicyError(
"QUOTA_EXCEEDED",
`Daily quota exceeded (${entry.count}/${limit}). Resets at midnight UTC.`
);
}
entry.count++;
this.usage.set(key, entry);
}
getUsage(userId: string): { used: number; limit: number; remaining: number } {
const key = `${userId}:${new Date().toISOString().slice(0, 10)}`;
const entry = this.usage.get(key);
const used = entry?.count || 0;
return { used, limit: 50, remaining: Math.max(0, 50 - used) };
}
private endOfDay(): number {
const d = new Date();
d.setUTCHours(23, 59, 59, 999);
return d.getTime();
}
}
```
### Step 4: Citation Quality Scoring
```typescript
const TRUSTED_TLDS = new Set(["gov", "edu", "org"]);
const HIGH_QUALITY_DOMAINS = new Set([
"nature.com", "science.org", "arxiv.org", "wikipedia.org",
"nih.gov", "cdc.gov", "who.int",
]);
const LOW_QUALITY_DOMAINS = new Set([
"reddit.com", "quora.com", "medium.com", "yahoo.com",
]);
interface CitationQuality {
url: string;
trust: "high" | "medium" | "low";
domain: string;
}
function scoreCitations(citations: string[]): {
scored: CitationQuality[];
highTrustPercent: number;
} {
const scored = citations.map((url) => {
const domain = new URL(url).hostname;
const tld = domain.split(".").pop() || "";
let trust: "high" | "medium" | "low" = "medium";
if (TRUSTED_TLDS.has(tld) || HIGH_QUALITY_DOMAINS.has(domain)) {
trust = "high";
} else if (LOW_QUALITY_DOMAINS.has(domain)) {
trust = "low";
}
return { url, trust, domain };
});
const highTrust = scored.filter((s) => s.trust === "high").length;
return {
scored,
highTrustPercent: citations.length > 0 ? highTrust / citations.length : 0,
};
}
```
### Step 5: Full Policy Pipeline
```typescript
const quota = new UsageQuota();
async function policiedSearch(
query: string,
userId: string,
userTier: string = "free",
requestedModel?: string
) {
// 1. Content moderation
const moderated = moderateQuery(query);
// 2. PII sanitization
const { clean } = sanitizeQuery(moderated);
// 3. Quota check
quota.check(userId, userTier);
// 4. Model policy
const policy = enforceModelPolicy(userTier, requestedModel);
// 5. API call
const response = await perplexity.chat.completions.create({
model: policy.model,
messages: [{ role: "user", content: clean }],
max_tokens: policy.maxTokens,
});
// 6. Citation quality
const citations = (response as any).citations || [];
const quality = scoreCitations(citations);
return {
answer: response.choices[0].message.content,
citations: quality.scored,
citationQuality: quality.highTrustPercent,
model: response.model,
tokens: response.usage?.total_tokens,
};
}
```
## Error Handling
| Issue | Cause | Solution |
|-------|-------|----------|
| Query blocked | Content moderation triggered | Review patterns, adjust if false positive |
| Quota exceeded | User hit daily limit | Upgrade tier or wait for reset |
| Model downgraded | User tier restricts access | Inform user of tier limitations |
| Low citation quality | All sources from forums | Add `search_domain_filter` for trusted sources |
## Output
- Query content moderation with blocked patterns
- Model selection enforced by user tier
- Per-user daily quotas
- Citation quality scoring and filtering
- Full policy pipeline combining all layers
## Resources
- [Perplexity API Documentation](https://docs.perplexity.ai)
- [Perplexity Responsible Use](https://www.perplexity.ai/hub)
## Next Steps
For architecture patterns, see `perplexity-architecture-variants`.
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!