News Sentiment Finbert
qusong0627/QuantMind
RSS 新闻情绪识别（FinBERT 中文金融情感）安装与运维 — 情绪管线架构、transformers 安装、FinBERT 权重下载、字典法扩充、全量重算、情绪筛选/条形图/个股资讯标签的使用。在 QuantBot / Claude Code 中排查新闻情绪不生效、重新安装…
Analyze finance text sentiment using FinBERT or LLM. An agent skill from ninehills/skills.
No licenceAuto-check passed
Install Alphaear Sentiment
$ npx skills add ninehills/skills --skill alphaear-sentiment -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ninehills/skills alphaear-sentiment --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ninehills/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/alphaear-sentiment .claude/skills/alphaear-sentiment && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "alphaear-sentiment" agent skill from https://github.com/ninehills/skills/tree/main/alphaear-sentiment into .claude/skills/alphaear-sentiment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alphaear-sentiment", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ninehills/skills/tree/main/alphaear-sentimentType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ninehills/skills --skill alphaear-sentiment -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ninehills/skills alphaear-sentiment --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ninehills/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/alphaear-sentiment .agents/skills/alphaear-sentiment && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "alphaear-sentiment" agent skill from https://github.com/ninehills/skills/tree/main/alphaear-sentiment into .agents/skills/alphaear-sentiment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alphaear-sentiment", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ninehills/skills --skill alphaear-sentiment -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ninehills/skills alphaear-sentiment --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ninehills/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/alphaear-sentiment .cursor/skills/alphaear-sentiment && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "alphaear-sentiment" agent skill from https://github.com/ninehills/skills/tree/main/alphaear-sentiment into .cursor/skills/alphaear-sentiment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alphaear-sentiment", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ninehills/skills.git --path alphaear-sentiment--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ninehills/skills --skill alphaear-sentiment -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ninehills/skills alphaear-sentiment --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ninehills/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/alphaear-sentiment .gemini/skills/alphaear-sentiment && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "alphaear-sentiment" agent skill from https://github.com/ninehills/skills/tree/main/alphaear-sentiment into .gemini/skills/alphaear-sentiment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alphaear-sentiment", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ninehills/skills alphaear-sentimentInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ninehills/skills --skill alphaear-sentiment -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ninehills/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/alphaear-sentiment .github/skills/alphaear-sentiment && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "alphaear-sentiment" agent skill from https://github.com/ninehills/skills/tree/main/alphaear-sentiment into .github/skills/alphaear-sentiment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alphaear-sentiment", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ninehills/skills --skill alphaear-sentiment -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ninehills/skills alphaear-sentiment --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ninehills/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/alphaear-sentiment .opencode/skills/alphaear-sentiment && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "alphaear-sentiment" agent skill from https://github.com/ninehills/skills/tree/main/alphaear-sentiment into .opencode/skills/alphaear-sentiment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alphaear-sentiment", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
alphaear-sentiment- GitHub stars
- 280
- Used in
- 1 other repo
- Token cost
- ~499 tokens
- SKILL.md length
- 191 words
- Files
- 8 (incl. scripts)
- Skills in repo
- 38
- Repo updated
- First seen
- Licence
- None found
At a glance
Analyze finance text sentiment using FinBERT or LLM. An agent skill from ninehills/skills.
- Works in 2 steps: Analyze Sentiment (FinBERT / Local) → Analyze Sentiment (LLM / Agentic)
- The user needs to determine the sentiment (positive/negative/neutral) and score of financial text markets
- SKILL.md covers Overview, Capabilities, Capabilities and Dependencies
- Runs Python scripts from its folder
What it does
Alphaear Sentiment is an agent skill from ninehills/skills. 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.
Its SKILL.md is about 500 tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts (for example `scripts/__init__.py`, `scripts/database_manager.py` and `scripts/llm/capability.py`).
When your agent uses it
- The user needs to determine the sentiment (positive/negative/neutral) and score of financial text markets
Example prompts
- “/alphaear-sentiment”
Requirements
- Python 3
Workflow steps
2 steps, taken from the step headings in SKILL.md.
- Analyze Sentiment (FinBERT / Local)
- Analyze Sentiment (LLM / Agentic)
What it can do on your machine
Read from SKILL.md and the folder at commit f3e82a7. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 6 files in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Alphaear Sentiment loads about 499 tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 191 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 191 words (~499 tokens).
“This skill provides sentiment analysis capabilities tailored for financial texts, supporting both FinBERT (local model) and LLM-based analysis modes.”
- name
- alphaear-sentiment
Files
SKILL.md and 7 other files (scripts) in alphaear-sentiment of ninehills/skills.
- SKILL.md
- scripts/__init__.py
- scripts/database_manager.py
- scripts/llm/capability.py
- scripts/llm/factory.py
- scripts/llm/router.py
- scripts/sentiment_tools.py
- tests/test_sentiment.py
Open the folder on GitHubat commit f3e82a7
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in ninehills/skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Alphaear Sentiment next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Alphaear Sentiment this skillninehills/skills | 280 | 1 repos | ~499 | Automated safety check: Pass | None | |
| News Sentiment Finbertqusong0627/QuantMind | 1.7k | — | ~2k | Automated safety check: Pass | AGPL-3.0 | |
| Sentiment Analysisphuryn/pm-skills | 27k | — | ~875 | Automated safety check: Pass | MIT | |
| News Sentiment Enginesickn33/agentic-awesome-skills | 47k | 1 repos | ~918 | Automated safety check: Notes | MIT | |
| Market Sentiment AnalysisHKUDS/Vibe-Trading | 35k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Finance Sentimenthimself65/finance-skills | 3.4k | — | ~1.3k | Automated safety check: Pass | MIT |
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Questions about Alphaear Sentiment
What does Alphaear Sentiment do?
Analyze finance text sentiment using FinBERT or LLM. An agent skill from ninehills/skills. Alphaear Sentiment is an agent skill from ninehills/skills. Analyze finance text sentiment using FinBERT or LLM.
When should I use Alphaear Sentiment?
Alphaear Sentiment fits situations like: the user needs to determine the sentiment (positive/negative/neutral) and score of financial text markets.
How do I install Alphaear Sentiment in Claude Code?
Run `npx skills add ninehills/skills --skill alphaear-sentiment -a claude-code`. Or copy the skill folder (alphaear-sentiment in ninehills/skills) into .claude/skills/alphaear-sentiment in your project. Claude Code loads it when a task matches its description.
How do I install Alphaear Sentiment in Codex?
Run `npx skills add ninehills/skills --skill alphaear-sentiment -a codex`. Or copy the skill folder (alphaear-sentiment in ninehills/skills) into .agents/skills/alphaear-sentiment in your project. Codex loads it when a task matches its description.
Can I use Alphaear Sentiment in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ninehills/skills --skill alphaear-sentiment -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/alphaear-sentiment, .gemini/skills/alphaear-sentiment, .github/skills/alphaear-sentiment and .opencode/skills/alphaear-sentiment in your project.
What does Alphaear Sentiment need to run?
Going by SKILL.md and its folder, Alphaear Sentiment needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Alphaear Sentiment access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Alphaear Sentiment safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Alphaear Sentiment use?
No licence was found for Alphaear Sentiment or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Alphaear Sentiment use?
About 499 tokens (SKILL.md is roughly 2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Alphaear Sentiment?
Skills that share tags, products or a category with Alphaear Sentiment: News Sentiment Finbert (qusong0627/QuantMind, 1.7k stars), Sentiment Analysis (phuryn/pm-skills, 27k stars), News Sentiment Engine (sickn33/agentic-awesome-skills, 47k stars) and Market Sentiment Analysis (HKUDS/Vibe-Trading, 35k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Alphaear Sentiment?
ninehills (a GitHub user) maintains it in ninehills/skills, which has 280 GitHub stars. The repository holds 38 skills in this directory. The repository was last updated on June 22, 2026.
Source: ninehills/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.