Query OpenRouter API costs, credits, and usage breakdown by model, provider, and date for the last 30 days. Triggers on API spending, check costs, openrouter usage, how much have I spent.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Query OpenRouter API costs and generate usage reports via the command line.
OPENROUTER_API_KEY environment variable (or in a project .env file)# Full 30-day summary with credits balance
python3 ~/.claude/skills/openrouter-usage/scripts/openrouter_usage.py
# Filter to a single date
python3 ~/.claude/skills/openrouter-usage/scripts/openrouter_usage.py --date 2026-02-01
# Export as CSV (for spreadsheets)
python3 ~/.claude/skills/openrouter-usage/scripts/openrouter_usage.py --csv
# Raw JSON output (for piping to jq)
python3 ~/.claude/skills/openrouter-usage/scripts/openrouter_usage.py --json
# Skip credits lookup (activity only)
python3 ~/.claude/skills/openrouter-usage/scripts/openrouter_usage.py --no-credits
The default report includes:
Both endpoints are read-only GETs authenticated via Bearer token:
| Endpoint | Purpose |
|---|---|
GET /api/v1/credits | Total credits purchased and used |
GET /api/v1/activity | Last 30 days of usage grouped by model/endpoint/provider |
The activity endpoint returns per-row: date, model, provider_name, usage, byok_usage_inference, requests, prompt_tokens, completion_tokens, reasoning_tokens.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Search academic papers, build literature reviews, and synthesize research findings — combines Exa MCP (research_paper category, arxiv filtering) with arxiv-mcp-server for paper discovery, download, and deep analysis. Triggers on academic paper, literature review, research synthesis, arxiv, find papers, scholarly search.
日本語の概要は準備中です。原文の説明を表示しています。
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
日本語の概要は準備中です。原文の説明を表示しています。
This skill should be used when creating, auditing, or maintaining AGENTS.md files and Codex CLI configuration for any project—including initializing AGENTS.md for cross-agent compatibility (Codex, Cursor, Copilot, Devin, Jules, Amp, Gemini CLI), generating config.toml or .rules files, scaffolding .agents/skills/, converting CLAUDE.md to AGENTS.md, or auditing existing agent configs for bloat and staleness. Complementary to codex-orchestrator (which executes subagents; this skill creates the config files they consume).
日本語の概要は準備中です。原文の説明を表示しています。
Academic research skill for Biblical Hebrew, Semitic linguistics, cuneiform studies, and comparative Ancient Near Eastern research. Provides Sefaria API for Hebrew Bible, CDLI/ORACC for cuneiform databases, and web discovery via Omnisearch, Exa, Firecrawl, and Obscura for finding scholarly sources across JSTOR, Perseus, Persée, Google Scholar, and academia.edu. Triggers on Hebrew quotes, cuneiform, Sefaria, ANE research, Minoan, search for scholarship, find papers, literature review, scholarly search, academic search, Genesis/Tehom, Ugaritic, Talmudic sources, extract from PDF, OCR academic.
日本語の概要は準備中です。原文の説明を表示しています。
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日本語の概要は準備中です。原文の説明を表示しています。
Generate physically-based atmospheric scattering shaders — sky domes, planetary atmospheres, LUT-optimized pipelines, depth-aware post-processing. Four modes — sky-dome, atmosphere-post, planet, lut. Triggers on atmospheric scattering, sky shader, sunset rendering, planet atmosphere, Rayleigh scattering, Mie scattering, volumetric sky, sky dome, atmosphere post-processing, aerial perspective, transmittance LUT, sky rendering, realistic sky, planetary rendering.
日本語の概要は準備中です。原文の説明を表示しています。