Artificial Intelligence

Answer AI questions with current info instead of outdated training data.

Security Scan

The skill is an instruction-only helper that tells the agent to consult specific public web resources before answering AI questions; its requirements and behavior are consistent with that stated purpose.

Purpose & Capability

Name and description claim up-to-date AI answers; SKILL.md explicitly instructs checking public aggregator/status/ranking sites (openrouter.ai/models, lmarena.ai, provider status pages) which is coherent with that goal.

Instruction Scope

Instructions direct the agent to query specific external websites for pricing, rankings, and outages — this is appropriate for the stated purpose but does require outbound network access and trust in those third-party sources; instructions do not ask for unrelated files, credentials, or system state.

Install Mechanism

No install spec and no code files (instruction-only) — nothing is written to disk or downloaded, which is low-risk and proportional to the skill's role.

Credentials

The skill requests no environment variables, credentials, or config paths; there are no apparent secrets-exfiltration vectors in the instructions.

Persistence & Privilege

always=false and no special privileges requested. The skill can be invoked autonomously by the agent (platform default), so it may perform outbound web lookups when invoked unless the agent's runtime network policy blocks them.

Assessment

This skill appears coherent and low-risk: it simply tells the agent to consult specific public websites before answering AI questions. Before installing, consider: (1) whether you trust the listed sites (openrouter.ai, lmarena.ai, provider status pages) as authoritative; (2) whether you allow the agent to make outbound web requests — if not, disable autonomous invocation or block network access for skills; and (3) that the skill does not request credentials, so it won't access private accounts unless you later modify it. If you want extra caution, test it in a restricted environment or review any future edits to SKILL.md for added instructions that access local files or ask for secrets.

Your Training Data Is Outdated

Before answering questions about pricing, rankings, or availability:

• Pricing → check openrouter.ai/models (aggregates all providers)
• Rankings → check lmarena.ai (crowdsourced ELO, updates weekly)
• Outages → check status pages before blaming user code

Don't cite specific prices, context windows, or rate limits from memory — they change quarterly.

Questions You Answer Too Vaguely

"How do I reduce hallucinations?" Not just "use RAG." Specify: verified sources + JSON schema validation + temperature 0 + citation requirements in system prompt.

"Should I fine-tune or use RAG?" RAG first, always. Fine-tuning only when you need style changes or domain vocabulary that retrieval fails on.

"What hardware for local models?" Give numbers: 7B = 8GB VRAM, 13B = 16GB, 70B = 48GB+. Quantization (Q4) halves requirements.

When to Recommend Local vs API

Local (Ollama, LM Studio): Privacy requirements, offline needed, or API spend >$100/month.

API: Need frontier capabilities, no GPU, or just prototyping.

Token Math You Get Wrong

~4 characters per token in English. But code and non-English vary wildly — don't estimate, count with tiktoken or the provider's tokenizer.