Is the AlphaEar Sentiment skill free?

Yes. The skill itself is free from RKiding/Awesome-finance-skills. SkillProof publishes the install command and an independent test verdict at no cost.

What is the AlphaEar Sentiment SkillProof Score?

7.2/10 — installs cleanly 5/5, triggers reliably 4/5, output vs. baseline 5/10, docs & honesty 4/5.

How do I install AlphaEar Sentiment?

Copy the install command from this page, run it in your terminal, and restart Claude Code. Skills live in ~/.claude/skills/ (global) or .claude/skills/ inside a project.

Can I use AlphaEar Sentiment with Cursor, Copilot, Gemini CLI, Codex or other AI tools?

The SKILL.md format is native to Claude (Claude Code, Desktop, claude.ai). The instructions inside adapt to other assistants: Cursor rules, GitHub Copilot instructions, Windsurf rules, Custom GPTs, AGENTS.md for OpenAI Codex, and GEMINI.md for Google Gemini CLI — our conversion guides cover each, and the free converter on the tools page does the wrapping for you.

AlphaEar Sentiment

Scores financial text sentiment as positive, negative, or neutral using FinBERT.

by RKiding · RKiding/Awesome-finance-skills

Works with setup

Install — copy the command Download source ↗

Test report

Verdict: Works with setup
Score: 7.2/10
Tested: Jul 13, 2026
Environment: Claude Code 2.x (agent harness)
Upstream re-checked: Aug 10, 2026 · 2d5fc7f

Tested verbatim git-clone install (clean; frontmatter valid strict YAML, all referenced scripts present) plus a 5-headline financial-sentiment classification A/B. Skill's FinBERT path needs torch/transformers and a downloadable model (heavy, but no paid API), while its LLM/agentic mode is agent-driven per SKILL.md and works with zero external deps; DB-writeback helpers additionally need an initialized sqlite DatabaseManager. A/B showed the skill's agentic classification and the base (no-skill) direct classification produced effectively identical, correct labels and scores, so the skill adds structure/scoring-guide but no accuracy lift on inline text. Output is a sentiment-classification artifact only, NOT investment advice.

Scored on four weighted criteria — install, triggering, output vs. baseline, docs. How scoring works

Installs cleanly 5/5
Triggers reliably 4/5
Output vs. baseline 5/10
Docs & honesty 4/5

What AlphaEar Sentiment does

Analyze finance text sentiment using FinBERT or LLM. Use when the user needs to determine the sentiment (positive/negative/neutral) and score of financial text markets.

How to install AlphaEar Sentiment

git clone https://github.com/RKiding/Awesome-finance-skills
cd Awesome-finance-skills
mkdir -p ~/.claude/skills
cp -r skills/alphaear-sentiment ~/.claude/skills/alphaear-sentiment

Skills live in ~/.claude/skills/ (global) or .claude/skills/ (per-project). Restart Claude Code after installing.

Commands — how to trigger AlphaEar Sentiment

/alphaear-sentiment Scores financial text sentiment as positive, negative, or neutral using FinBERT.

It also activates on plain-language prompts like these:

Score the sentiment of this earnings call transcript
Analyze sentiment in these finance news headlines
Classify this market commentary as bullish or bearish

Frequently asked questions

Is the AlphaEar Sentiment skill free?: Yes. The skill itself is free from RKiding/Awesome-finance-skills. SkillProof publishes the install command and an independent test verdict at no cost.
Does AlphaEar Sentiment work with Claude Code?: We tested it with Claude Code 2.x (agent harness) on Jul 13, 2026. Verdict: Works with setup. Tested verbatim git-clone install (clean; frontmatter valid strict YAML, all referenced scripts present) plus a 5-headline financial-sentiment classification A/B. Skill's FinBERT path needs torch/transformers and a downloadable model (heavy, but no paid API), while its LLM/agentic mode is agent-driven per SKILL.md and works with zero external deps; DB-writeback helpers additionally need an initialized sqlite DatabaseManager. A/B showed the skill's agentic classification and the base (no-skill) direct classification produced effectively identical, correct labels and scores, so the skill adds structure/scoring-guide but no accuracy lift on inline text. Output is a sentiment-classification artifact only, NOT investment advice.
What is the AlphaEar Sentiment SkillProof Score?: 7.2/10 — installs cleanly 5/5, triggers reliably 4/5, output vs. baseline 5/10, docs & honesty 4/5.
How do I install AlphaEar Sentiment?: Copy the install command from this page, run it in your terminal, and restart Claude Code. Skills live in ~/.claude/skills/ (global) or .claude/skills/ inside a project.
Can I use AlphaEar Sentiment with Cursor, Copilot, Gemini CLI, Codex or other AI tools?: The SKILL.md format is native to Claude (Claude Code, Desktop, claude.ai). The instructions inside adapt to other assistants: Cursor rules, GitHub Copilot instructions, Windsurf rules, Custom GPTs, AGENTS.md for OpenAI Codex, and GEMINI.md for Google Gemini CLI — our conversion guides cover each, and the free converter on the tools page does the wrapping for you.