.claude/skills/emoRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
Analyze emoji usage, overall sentiment scores (-1.0 to +1.0), sentiment intensity, polarization index, emotional volatility, and progression arc using the `emo` CLI tool. Use this skill whenever you need to evaluate the emotional tone, emoji density, or multi-file sentiment benchmark for user input, chat logs, or text files.
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.claude/skills/emoRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/emoRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/emoRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
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clawhub install @wei840222/emoclawhub inspect @wei840222/emo --version 0.1.2This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.
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sha256:9a885007399b914cc900df42b932cdd78762eb566409d4e5f9e555c60d89dc89skill-card.mdSKILL.md- Introduces the emo skill for analyzing emoji usage, sentiment, intensity, polarization, emotional volatility, and progression arc using the `emo` CLI tool. - Supports comprehensive sentiment analysis with weighted scores (-1.0 to +1.0), emoji density metrics, and polarization index. - Enables segmented sentiment tracking by paragraph, line, or across multiple files for benchmarking. - Provides structured JSON output with detailed breakdowns (e.g., top emojis, slang/sarcasm, progression, style level). - Offers command options for summary mode, programmatic output, and multi-file side-by-side comparison. - Documentation includes clear metric interpretations and dataset references for transparency.