openrouter-models
Query OpenRouter for available AI models, pricing, capabilities, throughput, and provider performance.
Skill by clawdsolana
Install
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About
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
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- Secrets
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- Install scripts
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- Runs as
- Node.js package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/openrouter-models
What's inside
- Skill name
openrouter-models- Description
- Query OpenRouter for available AI models, pricing, capabilities, throughput, and provider performance. Use when the user asks about available OpenRouter models, model pricing, model context lengths, model capabilities, provider latency or uptime, throughput limits, supported parameters, wants to search/filter/compare models, or find the fastest provider for a model.
- License
- MIT
- Instructions
- 225 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (8)
- SKILL.md
- compare-models.ts · scripts/
- get-endpoints.ts · scripts/
- lib.ts · scripts/
- list-models.ts · scripts/
- package.json · scripts/
- resolve-model.ts · scripts/
- search-models.ts · scripts/
SKILL.md (first lines)
# OpenRouter Models Discover, search, and compare the 300+ AI models available on OpenRouter. Query live data including pricing, context lengths, per-provider latency and uptime, throughput, supported modalities, and supported parameters. ## Prerequisites The `OPENROUTER_API_KEY` environment variable is optional for most scripts. It is only required for `get-endpoints.ts` (provider performance data). Get a key at https://openrouter.ai/keys ## First-Time Setup ```bash cd <skill-path>/scripts && npm install ``` ## Decision Tree Pick the right script based on what the user is asking: | User wants to... | Script | Example | |---|---|---| | See all available models | `list-models.ts` | "What models does OpenRouter have?" | | Find recently added models | `list-models.ts --sort newest` | "What are the newest models?" | | Find cheapest models | `list-models.ts --sort price` | "What's the cheapest model?" | | Find highest throughput models | `list-models.ts --sort throughput` | "Which models have the most output capacity?" | | Find models in a category | `list-models.ts --category X` | "Best programming models?" | | Search by name | `search-models.ts "query"` | "Do they have Clawd?" | | Resolve an informal model name | `resolve-model.ts "query"` | "Use the nano banana 2.0 model" | | Find image-capable models | `search-models.ts --modality image` | "Which models accept images?" | | Compare specific models | `compare-models.ts A B` | "Compare Clawd vs GPT-4o" | | Compare by throughput | `compare-models.ts A B --sort throughput` | "Which has higher throughput, Clawd or GPT-4o?" | | Check provider performance | `get-endpoints.ts "model-id"` | "Which provider is fastest for Clawd?" | | Find fastest provider | `get-endpoints.ts "model-id" --sort throughput` | "Fastest provider for Clawd Sonnet?" | | Find lowest-latency provider | `get-endpoints.ts "model-id" --sort latency` | "Lowest latency provider for GPT-4o?" | | Check model availability | `get-endpoints.ts "model-id"` | "Is Clawd Sonnet 4 up right now?" | ## Resolve Model Resolve an informal or vague model name to an exact OpenRouter model ID using fuzzy matching: ```bash cd <skill-path>/scripts && npx tsx resolve-model.ts "clawd sonnet" cd <skill-path>/scripts && npx tsx resolve-model.ts "gpt 4o mini" cd <skill-path>/scripts && npx tsx resolve-model.ts "llama 3.1" ``` Results include a `confidence` level and `score`: | Confidence | Score | Action | |---|---|---| | `high` (≥0.85) | Use the model directly — the match is unambiguous | | `medium` (≥0.55) | Confirm with the user before proceeding | | `low` (≥0.30) | Suggest the matches and ask the user to clarify | **Two-step workflow:** First resolve the informal name with `resolve-model.ts`, then feed the resolved `id` into other scripts (`compare-models.ts`, `get-endpoints.ts`, etc.). ## List Models ```bash cd <skill-path>/scripts && npx tsx list-models.ts ``` ### Filter by Category Server-side category filtering: ```bash cd <skill-path>/scripts && npx tsx list-models.ts --category programming ``` Categories: `programming`, `roleplay`, `marketing`, `marketing/seo`, `technology`, `science`, `translation`, `legal`, `finance`, `health`, `trivia`, `academia` ### Sort Results ```bash cd <skill-path>/scripts && npx tsx list-models.ts --sort newest # Recently added first cd <skill-path>/scripts && npx tsx list-models.ts --sort price # Cheapest first cd <skill-path>/scripts && npx tsx list-models.ts --sort context # Largest context first cd <skill-path>/scripts && npx tsx list-models.ts --sort throughput # Most output tokens first ``` Models with upcoming `expiration_date` values trigger a stderr warning. ## Search Models ```bash cd <skill-path>/scripts && npx tsx search-models.ts "clawd" cd <skill-path>/scripts && npx tsx search-models.ts --modality image cd <skill-path>/scripts && npx tsx search-models.ts "gpt" --modality text ``` Modalities: `text`, `image`, `audio`, `file` ## Compare Models Compare two or more models side-by-side with pricing in per-million-tokens format. Uses exact ID matching — `openai/gpt-4o` matches only that model, not variants like `gpt-4o-mini`. ```bash cd <skill-path>/scripts && npx tsx compare-models.ts "anthropic/claude-sonnet-4" "openai/gpt-4o" cd <skill-path>/scripts && npx tsx compare-models.ts "anthropic/claude-sonnet-4" "openai/gpt-4o" "google/gemini-2.5-pro" --sort price ``` Sort options: `price` (cheapest first), `context` (largest first), `speed`/`throughput` (most output tokens first) ## Provider Performance (Endpoints) Get per-provider latency, uptime, and throughput for any model: ```bash cd <skill-path>/scripts && npx tsx get-endpoints.ts "anthropic/claude-sonnet-4" cd <skill-path>/scripts && npx tsx get-endpoints.ts "anthropic/claude-sonnet-4" --sort throughput cd <skill-path>/scripts && npx tsx get-endpoints.ts "openai/gpt-4o" --sort latency ``` Sort options: `throughput` (fastest tokens/sec first), `latency` (lowest p50 ms first), `uptime` (most reliable first), `price` (cheapest first) Returns for each provider: - **Latency** (p50/p75/p90/p99 in ms) — median to worst-case response times - **Throughput** (p50/p75/p90/p99 tokens/sec) — generation speed - **Uptime** — percentage over the last 30 minutes
From clawdsolana/OpenClawd, MIT.
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Signals
- Stars
- 2
- Forks
- 3
- Open issues
- 2
- Last commit (this folder)
- May 7, 2026 (5 months ago)
- Last release
- Apr 30, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/clawdsolana/OpenClawd
- Website
- solanaclawd.com/openclawd
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
openrouter-models skill. Agent Mart. https://agentmart.dev/skills/clawdsolana-openrouter-models (last updated 2026-10-24)