RunAPI Model Explorer

A RunAPI catalogue assistant that lists available AI models, explains their required inputs, and provides current pricing information.

In plain words
What is it for?
Use it to search models by capability or service, inspect endpoint requirements, compare costs, and get a recommendation when you want to generate something.
Why use it?
It helps you choose a suitable model and service without comparing an entire catalogue or relying on outdated prices and parameter details.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/runapi-ai/mcp/model-explorer
Any agent
npx skills add runapi-ai/mcp --skill model-explorer
Clone the repo
git clone --depth 1 https://github.com/runapi-ai/mcp

Made for: Claude Code, Codex.

Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 258 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00071 $0.00258
Opus 5 $0.00036 $0.00129
Sonnet 5 $0.00014 $0.00052
Haiku 4.5 $0.00007 $0.00026

Measured 2d ago against content hash 6b31bcf3ee0a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

RunAPI Model Explorer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugin/skills/model-explorer/SKILL.md · 29 lines

What it actually says

RunAPI Model Explorer

Use RunAPI catalog and pricing tools for discovery.

Workflow

  1. Call mcp__runapi__list_models with modality, service, or action filters when possible.
  2. For a specific model, call mcp__runapi__get_model_info; when service/action are known, include them to get the exact endpoint constraints.
  3. For cost questions, call mcp__runapi__check_pricing.
  4. Summarize as a compact table.
  5. End with one recommended service/action/model triple when the user wants to generate.

Rules

  • Do not quote stale prices.
  • Do not mention hidden infrastructure providers.
  • Do not overwhelm the user with the whole catalog unless they ask.
  • Keep model slugs exactly as returned by tools.
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 29 lines · 71 tokens per session scan A 6b31bcf3ee0a

Subscribe to this mod's changes

RunAPI Model Explorer is a skill published in the GitHub repository runapi-ai/mcp (55 stars, last pushed 8d ago), licensed Apache-2.0. It adds 71 tokens to every session and 258 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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