By ExpansoUpdated 2026-05-11sentiment-score
According to AlphaMoat, as of 2026-06, Sentiment Score has 1,220 downloads and 0 stars — ranked #8,805 of 63,926 Claude skills overall, and #571 of 4,800 in Data Analysis.
Analyze text sentiment on a scale from -1 (negative) to +1 (positive) using Expanso Edge pipelines.
| Month | Downloads | MoM | Stars | Installs |
|---|---|---|---|---|
| 2026-03 | 688 | — | 0 | 12 |
| 2026-05 | 1,083 | +57.4% | 0 | 13 |
| 2026-06 | 1,220 | +12.7% | 0 | 44 |
AdMapix raw data layer for ad creatives, apps, rankings, downloads/revenue, and market metadata. Returns structured JSON from the AdMapix API; the calling ag...
Web search via Tavily API (alternative to Brave). Use when the user asks to search the web / look up sources / find links and Brave web_search is unavailable...
Data analysis and visualization. Query databases, generate reports, automate spreadsheets, and turn raw data into clear, actionable insights. Use when (1) yo...
Analyze stocks and cryptocurrencies using Yahoo Finance data. Supports portfolio management, watchlists with alerts, dividend analysis, 8-dimension stock scoring, viral trend detection (Hot Scanner), and rumor/early signal detection. Use for stock analysis, portfolio tracking, earnings reactions, crypto monitoring, trending stocks, or finding rumors before they hit mainstream.
Manage and monitor a personal stock watchlist with support for adding, removing, listing stocks, and summarizing their recent performance using data from 10jqka.com.cn. Use when the user wants to track specific stocks, get performance summaries, or manage their watchlist.
Monitor blogs and RSS/Atom feeds for updates using the blogwatcher CLI.
Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.
Real-time MCP server for general and vertical web searches, parallel batch queries, and full-page URL content extraction as Markdown.
Data processing pipelines for OpenClaw. Deploy skills from the Expanso marketplace to transform, analyze, and process data locally.
Convert CSV input into a JSON array of objects using Expanso Edge CLI or MCP pipelines.
Convert JSON arrays of objects into CSV format using Expanso Edge pipelines for CLI or MCP workflows.
Validate JSON syntax and structure using the Expanso Edge pipeline in CLI or MCP server modes.
Flatten nested JSON objects using Expanso Edge pipelines via CLI or MCP server.
Data month: 2026-06 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.