AI Status - Real-time AI Provider Status

Check real-time AI provider status, search model availability, get trending models, LLM benchmark leaderboard, and recent outage incidents. Use when the user...

Security Scan

The skill is instruction-only and its requests, tooling, and scope align with its stated purpose of querying aistatus.cc for provider/model status information.

Purpose & Capability

Name/description match the instructions: the SKILL.md exclusively instructs the agent to call aistatus.cc endpoints to fetch provider status, model search, trending, leaderboard, and incidents. No unrelated credentials, binaries, or system access are requested.

Instruction Scope

Runtime instructions are narrowly scoped: use WebFetch to call specific aistatus.cc endpoints, parse JSON, and present results. The instructions do not ask the agent to read local files, other env vars, or send data to unrelated endpoints.

Install Mechanism

There is no install spec and no code files; the skill is instruction-only which minimizes disk/write risk. No downloads or package installs are specified.

Credentials

The skill declares no required environment variables, credentials, or config paths. The functionality described (public API calls) does not require secrets, so the lack of credential requests is proportionate.

Persistence & Privilege

The skill is not marked always:true and does not request any persistent system-wide configuration changes. It can be invoked by the user and (per default platform behavior) may be called autonomously by the agent, which is normal.

Assessment

This skill appears coherent and low-risk because it only instructs the agent to fetch public endpoints from https://aistatus.cc and parse results. Before installing, consider: (1) Source trust — the skill's source/homepage is unknown, so verify aistatus.cc is reputable and that you trust its data; (2) Privacy — queries will be sent to a third-party domain (WebFetch network calls); avoid sending sensitive text in queries; (3) Accuracy & availability — the skill reports third-party status data that may be incomplete or stale; consider cross-checking with provider status pages for critical decisions; (4) Monitoring — because the skill performs network requests, watch for unexpected outbound traffic patterns. If any of these concerns matter, review the aistatus.cc site and its privacy/security posture before enabling the skill.

AI Status - Real-time AI Provider Status & Model Availability

You have access to the aistatus.cc API to check real-time AI provider status, model availability, trending usage, and benchmark scores. All endpoints are free, public, and require no authentication.

Base URL: https://aistatus.cc

When to Use

• User asks if an AI provider (Anthropic, OpenAI, Google, DeepSeek, etc.) is up or down
• User wants to check model availability or pricing
• User asks about trending AI models or usage rankings
• User asks about LLM benchmark scores or leaderboard
• User wants to know about recent AI outages or incidents
• Before making API calls to a provider, check if it's operational

Available Endpoints

1. All Data (recommended first call)

GET https://aistatus.cc/api/all

Returns everything in one call: provider status, trending models, MMLU leaderboard, and recent incidents. Use this when the user asks a general question or you need multiple data points.

2. Provider Status

GET https://aistatus.cc/api/status

Returns operational status for each AI provider. Status values:

• operational - All systems healthy
• degraded - Minor issues reported
• down - Major/critical outage
• unknown - Insufficient data

Providers tracked: Anthropic, OpenAI, Google, DeepSeek, Meta, Mistral, xAI, Qwen, MiniMax, StepFun, Moonshot, ByteDance.

3. Model Search

GET https://aistatus.cc/api/model?q={query}

Search for models by name or ID. Returns matching models with provider status, pricing, and context length. Supports fuzzy matching. Up to 20 results.

Examples:

• ?q=claude-sonnet - Find Claude Sonnet models
• ?q=gpt-4o - Find GPT-4o models
• ?q=deepseek-chat - Find DeepSeek models

4. Trending Models

GET https://aistatus.cc/api/trending

Top 10 most-used AI models this week by token volume on OpenRouter.

5. LLM Leaderboard (Benchmarks)

GET https://aistatus.cc/api/mmlu

Top 10 models by benchmark score from HuggingFace Open LLM Leaderboard (average of IFEval, BBH, MATH, GPQA, MUSR, MMLU-PRO).

6. Recent Incidents

GET https://aistatus.cc/api/incidents

Recent provider status change events (outages, degradations, recoveries). Stored in-memory, up to 50 events.

How to Respond

1. Use WebFetch to call the appropriate endpoint
2. Parse the JSON response
3. Present the information clearly:
   • For status checks: show each provider with a status indicator
   • For model search: show matching models with provider, pricing, and availability
   • For trending: show the ranked list with token volumes
   • For leaderboard: show the ranked list with scores
   • For incidents: show a timeline of recent events

If the user provides $ARGUMENTS, use it to determine what to check:

• If it looks like a provider name (e.g., "anthropic", "openai"), fetch /api/status and highlight that provider
• If it looks like a model name (e.g., "claude-sonnet", "gpt-4o"), fetch /api/model?q={name}
• If it's "trending" or "rankings", fetch /api/trending
• If it's "leaderboard" or "benchmark", fetch /api/mmlu
• If it's "incidents" or "outages", fetch /api/incidents
• Otherwise, fetch /api/all for a comprehensive overview

Example Output Format

When showing provider status:

AI Provider Status (as of HH:MM UTC):

  Anthropic    - operational (13 models)
  OpenAI       - degraded    (58 models) - Partial System Degradation
  Google       - operational (45 models)
  DeepSeek     - operational (12 models)
  ...

310 models tracked total.

When showing model search results:

Found 3 models matching "claude-sonnet":

1. anthropic/claude-sonnet-4.6
   Provider: Anthropic (operational)
   Context: 1,000,000 tokens
   Pricing: $3.00/M input, $15.00/M output

2. ...