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perplexity-policy-guardrails

4.6

by jeremylongshore

200Favorites
105Upvotes
0Downvotes

Implement Perplexity lint rules, policy enforcement, and automated guardrails. Use when setting up code quality rules for Perplexity integrations, implementing pre-commit hooks, or configuring CI policy checks for Perplexity best practices. Trigger with phrases like "perplexity policy", "perplexity lint", "perplexity guardrails", "perplexity best practices check", "perplexity eslint".

linting

4.6

Rating

0

Installs

Testing & Quality

Category

Quick Review

This skill provides solid technical implementation details for linting and policy enforcement with code examples for ESLint rules, pre-commit hooks, OPA policies, and CI checks. However, it suffers from a critical novelty problem: it appears to be a generic template incorrectly applied to 'Perplexity' (the AI search engine/API), which doesn't have established linting conventions, ESLint plugins, or policy frameworks in the way frameworks like React or databases do. The skill treats Perplexity as if it were a major platform with standard integration patterns, API key formats (sk_live_*), and dedicated tooling ecosystems that don't actually exist. A CLI agent could perform most of these tasks (creating ESLint rules, pre-commit hooks, CI configs) with standard prompting. The structure is reasonable but somewhat cluttered with all details in SKILL.md. The description is clear enough for invocation but doesn't acknowledge the questionable premise. This would be more valuable if applied to an actual framework with established patterns or if it provided genuinely complex Perplexity-specific guardrails that required specialized knowledge.

LLM Signals

Description coverage6
Task knowledge7
Structure5
Novelty1

GitHub Signals

1,046
135
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0
Last commit 0 days ago

Publisher

jeremylongshore

jeremylongshore

Skill Author

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Publisher

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jeremylongshore

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