hm-llm-guardrails

hm-llm-guardrails is an LLM app frameworks & APIs skill for AI agents, published by rodrigohighermind in the highermind-code-skills repository on GitHub. Skillspace rates hm-llm-guardrails D (59/100) and the safety scan flagged it for review; the rating is based on static analysis only.

Flagged for review. Read the source before running it.

Catálogo de 14 patterns obrigatórios para app que integra LLM (Claude/GPT/Gemini) em produção. Use antes de shippar feature LLM pra produção, quando custo da API explode sem explicação, quando user reclama de "respostas demoram demais" ou "trava no meio", ao adicionar tool calling, agentes ou chat persistente. Cobre sliding window, lazy client factory, in-flight dedupe, rate limit por endpoint, streaming abort/retry, schema validation no response, token budget explícito, cross-channel safety, cost tracking, multi-provider failover, custo×performance como restrição de design, identidade não-mesclável, tool calling guardrails.

Grade

D

Quality

59 / 100

Safety

Needs review

GitHub stars

181

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.