#401 by GitHub stars

RKiding/Awesome-finance-skills

A collection of Awesome Finance Agent Skills for free and easy to start | 一系列开源免费的金融分析Agent Skills

History

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`skills/alphaear-deepear-lite/SKILL.md`

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`skills/skill-creator/SKILL.md`

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View on GitHub Add to my skills

Verified commit 853f09b4d0baae747759ed31e21ed5c5b2316a5f

3.1kGitHub stars

12stars in 7 days

10skills in this repository

0commits in 30 days

Heat

4.6

Star growth, last 7 daysAhead of 66% of tracked repositories
Star growth, last 24 hoursAhead of 88% of tracked repositories
Rank movement, last 7 daysAhead of 26% of tracked repositories
Commits, last 30 daysAhead of 0% of tracked repositories
Accounts asking about it through MCP, last 7 daysNot available
Hot votes this weekAhead of 0% of tracked repositories

Heat never changes the order by stars, and sponsorship never touches it. How heat works

Stars over time

Individual skills in this repository

alphaear-deepear-lite skills/alphaear-deepear-lite
alphaear-logic-visualizer skills/alphaear-logic-visualizer
alphaear-news skills/alphaear-news
alphaear-predictor skills/alphaear-predictor
alphaear-reporter skills/alphaear-reporter
alphaear-search skills/alphaear-search
alphaear-sentiment skills/alphaear-sentiment
alphaear-signal-tracker skills/alphaear-signal-tracker
alphaear-stock skills/alphaear-stock
skill-creator skills/skill-creator

How it works

Choose a skill

alphaear-deepear-lite

When your agent uses it

Fetch the latest financial signals and transmission-chain analyses from DeepEar Lite. Use when the user needs immediate insights into financial market trends, stock performance factors, and reasoning from the DeepEar Lite dashboard.

What it loads into context

Frontmatter

50 tokens

Always available to the agent

SKILL.md

226 tokens

When the skill is activated

Reference documents

0 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

Overview
Capabilities
Dependencies
Testing

Scripts executed separately

scripts/deepear_lite.py

Files

SKILL.mdcore1,051 bytes
SKILL.mdcore1,051 bytes
SKILL.mdcore1,051 bytes
scripts/deepear_lite.pyruns2,687 bytes

Read SKILL.md


# DeepEar Lite Skill

## Overview

Fetch high-frequency financial signals, including titles, summaries, confidence scores, and reasoning directly from the DeepEar Lite platform's real-time data source.

## Capabilities

### 1. Fetch Latest Financial Signals

Use `scripts/deepear_lite.py` via `DeepEarLiteTools`.

-   **Fetch Signals**: `fetch_latest_signals()`
    -   Retrieves all latest signals from `https://deepear.vercel.app/latest.json`.

View the complete source on GitHub

alphaear-logic-visualizer

When your agent uses it

Create visualize finance logic diagrams (e.g., Draw.io XML) to explain complex finance transmission chains or finance logic flows.

What it loads into context

Frontmatter

36 tokens

Always available to the agent

SKILL.md

287 tokens

When the skill is activated

Reference documents

608 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

Overview
Capabilities
Dependencies

Scripts executed separately

scripts/__init__.py
scripts/visualizer.py
scripts/visualizer_prompt.py
tests/test_visualizer.py

Files

SKILL.mdcore1,264 bytes
references/PROMPTS.mddoc1,998 bytes
scripts/__init__.pyruns0 bytes
scripts/visualizer.pyruns19,060 bytes
scripts/visualizer_prompt.pyruns2,028 bytes
tests/test_visualizer.pyruns506 bytes

Read SKILL.md


# AlphaEar Logic Visualizer Skill

## Overview

This skill specializes in creating visual representations of logic flows, specifically generating Draw.io XML compatible diagrams. It is useful for visualizing investment theses or signal transmission chains.

## Capabilities

### 1. Generate Draw.io Diagrams

### 1. Generate Draw.io Diagrams (Agentic Workflow)

**YOU (the Agent)** are the Visualizer. Use the prompts in `references/PROMPTS.md` to generate the XML.

View the complete source on GitHub

alphaear-news

When your agent uses it

Fetch hot finance news, unified trends, and prediction financial market data. Use when the user needs real-time financial news, trend reports from multiple finance sources (Weibo, Zhihu, WallstreetCN, etc.), or Polymarket finance market prediction data.

What it loads into context

Frontmatter

60 tokens

Always available to the agent

SKILL.md

262 tokens

When the skill is activated

Reference documents

396 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

Overview
Capabilities
Dependencies

Scripts executed separately

scripts/__init__.py
scripts/content_extractor.py
scripts/database_manager.py
scripts/news_tools.py
tests/test_news.py

Files

SKILL.mdcore1,076 bytes
references/sources.mddoc1,463 bytes
scripts/__init__.pyruns0 bytes
scripts/content_extractor.pyruns4,858 bytes
scripts/database_manager.pyruns4,546 bytes
scripts/news_tools.pyruns10,109 bytes
tests/test_news.pyruns641 bytes

Read SKILL.md


# AlphaEar News Skill

## Overview

Fetch real-time hot news, generate unified trend reports, and retrieve Polymarket prediction data.

## Capabilities

### 1. Fetch Hot News & Trends

Use `scripts/news_tools.py` via `NewsNowTools`.

-   **Fetch News**: `fetch_hot_news(source_id, count)`
    -   See [sources.md](references/sources.md) for valid `source_id`s (e.g., `cls`, `weibo`).

View the complete source on GitHub

alphaear-predictor

When your agent uses it

Market prediction skill using Kronos. Use when user needs finance market time-series forecasting or news-aware finance market adjustments.

What it loads into context

Frontmatter

33 tokens

Always available to the agent

SKILL.md

522 tokens

When the skill is activated

Reference documents

254 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

Overview
Capabilities
Configuration
Dependencies

Scripts executed separately

scripts/__init__.py
scripts/forecast_agent.py
scripts/json_utils.py
scripts/kronos_predictor.py
scripts/predictor/model/__init__.py
scripts/predictor/model/kronos.py
scripts/predictor/model/module.py
scripts/prompts/fin_agent.py
scripts/prompts/forecast_analyst.py
scripts/prompts/intent_agent.py
scripts/prompts/isq_prompt_generator.py
scripts/prompts/report_agent.py
scripts/prompts/trend_agent.py
scripts/prompts/visualizer.py
scripts/schema/isq_template.py
scripts/schema/models.py
scripts/utils/__init__.py
scripts/utils/database_manager.py
scripts/utils/json_utils.py
scripts/utils/llm/capability.py
scripts/utils/llm/factory.py
scripts/utils/llm/router.py
scripts/utils/logging_setup.py
scripts/utils/predictor/evaluation.py
scripts/utils/predictor/kline_generate.py
scripts/utils/predictor/model/__init__.py
scripts/utils/predictor/model/kronos.py
scripts/utils/predictor/model/module.py
scripts/utils/predictor/training.py
scripts/utils/search_tools.py
scripts/utils/stock_tools.py
tests/test_predictor.py

Files

SKILL.mdcore2,124 bytes
SKILL.mdcore2,124 bytes
references/PROMPTS.mddoc1,055 bytes
scripts/__init__.pyruns0 bytes
scripts/forecast_agent.pyruns3,000 bytes
scripts/json_utils.pyruns6,300 bytes
scripts/kronos_predictor.pyruns7,816 bytes
scripts/predictor/exports/models/kronos_news_v1_20260101_0015.ptasset1,283,533 bytes
scripts/predictor/model/__init__.pyruns394 bytes
scripts/predictor/model/kronos.pyruns31,093 bytes
scripts/predictor/model/module.pyruns22,847 bytes
scripts/prompts/fin_agent.pyruns6,710 bytes
scripts/prompts/forecast_analyst.pyruns1,904 bytes
scripts/prompts/intent_agent.pyruns2,240 bytes
scripts/prompts/isq_prompt_generator.pyruns1,821 bytes
scripts/prompts/report_agent.pyruns18,529 bytes
scripts/prompts/trend_agent.pyruns7,534 bytes
scripts/prompts/visualizer.pyruns2,028 bytes
scripts/schema/isq_template.pyruns13,967 bytes
scripts/schema/models.pyruns6,252 bytes
scripts/utils/__init__.pyruns25 bytes
scripts/utils/database_manager.pyruns21,840 bytes
scripts/utils/json_utils.pyruns6,300 bytes
scripts/utils/llm/capability.pyruns2,863 bytes
scripts/utils/llm/factory.pyruns3,717 bytes
scripts/utils/llm/router.pyruns2,875 bytes
scripts/utils/logging_setup.pyruns1,072 bytes
scripts/utils/predictor/evaluation.pyruns5,723 bytes
scripts/utils/predictor/kline_generate.pyruns7,821 bytes
scripts/utils/predictor/model/__init__.pyruns394 bytes
scripts/utils/predictor/model/kronos.pyruns31,093 bytes
scripts/utils/predictor/model/module.pyruns22,847 bytes
scripts/utils/predictor/training.pyruns18,696 bytes
scripts/utils/search_tools.pyruns29,258 bytes
scripts/utils/stock_tools.pyruns10,072 bytes
tests/test_predictor.pyruns1,030 bytes

Read SKILL.md


# AlphaEar Predictor Skill

## Overview

This skill utilizes the Kronos model (via `KronosPredictorUtility`) to perform time-series forecasting and adjust predictions based on news sentiment.

## Capabilities

### 1. Forecast Market Trends

### 1. Forecast Market Trends

**Workflow:**
1.  **Generate Base Forecast**: Use `scripts/kronos_predictor.py` (via `KronosPredictorUtility`) to generate the technical/quantitative forecast.

View the complete source on GitHub

alphaear-reporter

When your agent uses it

Plan, write, and edit professional financial reports; generate finance chart configurations. Use when condensing finance analysis into a structured output.

What it loads into context

Frontmatter

35 tokens

Always available to the agent

SKILL.md

241 tokens

When the skill is activated

Reference documents

545 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

Overview
Capabilities
Capabilities
Dependencies

Scripts executed separately

scripts/__init__.py
scripts/prompts/fin_agent.py
scripts/prompts/forecast_analyst.py
scripts/prompts/intent_agent.py
scripts/prompts/isq_prompt_generator.py
scripts/prompts/report_agent.py
scripts/prompts/trend_agent.py
scripts/prompts/visualizer.py
scripts/report_agent.py
scripts/schema/isq_template.py
scripts/schema/models.py
scripts/tools/__init__.py
scripts/tools/toolkits.py
scripts/utils/__init__.py
scripts/utils/content_extractor.py
scripts/utils/database_manager.py
scripts/utils/hybrid_search.py
scripts/utils/json_utils.py
scripts/utils/llm/capability.py
scripts/utils/llm/factory.py
scripts/utils/llm/router.py
scripts/utils/logging_setup.py
scripts/utils/news_tools.py
scripts/utils/predictor/evaluation.py
scripts/utils/predictor/kline_generate.py
scripts/utils/predictor/model/__init__.py
scripts/utils/predictor/model/kronos.py
scripts/utils/predictor/model/module.py
scripts/utils/predictor/training.py
scripts/utils/search_tools.py
scripts/utils/sentiment_tools.py
scripts/utils/stock_tools.py
scripts/visualizer.py
tests/test_reporter.py

Files

SKILL.mdcore1,130 bytes
references/PROMPTS.mddoc2,215 bytes
scripts/__init__.pyruns0 bytes
scripts/prompts/fin_agent.pyruns6,710 bytes
scripts/prompts/forecast_analyst.pyruns1,904 bytes
scripts/prompts/intent_agent.pyruns2,240 bytes
scripts/prompts/isq_prompt_generator.pyruns1,821 bytes
scripts/prompts/report_agent.pyruns18,529 bytes
scripts/prompts/trend_agent.pyruns7,534 bytes
scripts/prompts/visualizer.pyruns2,028 bytes
scripts/report_agent.pyruns6,817 bytes
scripts/schema/isq_template.pyruns13,967 bytes
scripts/schema/models.pyruns6,252 bytes
scripts/tools/__init__.pyruns448 bytes
scripts/tools/toolkits.pyruns19,182 bytes
scripts/utils/__init__.pyruns25 bytes
scripts/utils/content_extractor.pyruns4,858 bytes
scripts/utils/database_manager.pyruns21,840 bytes
scripts/utils/hybrid_search.pyruns8,207 bytes
scripts/utils/json_utils.pyruns6,300 bytes
scripts/utils/llm/capability.pyruns2,863 bytes
scripts/utils/llm/factory.pyruns3,717 bytes
scripts/utils/llm/router.pyruns2,875 bytes
scripts/utils/logging_setup.pyruns1,072 bytes
scripts/utils/news_tools.pyruns10,109 bytes
scripts/utils/predictor/evaluation.pyruns5,723 bytes
scripts/utils/predictor/kline_generate.pyruns7,821 bytes
scripts/utils/predictor/model/__init__.pyruns394 bytes
scripts/utils/predictor/model/kronos.pyruns31,093 bytes
scripts/utils/predictor/model/module.pyruns22,847 bytes
scripts/utils/predictor/training.pyruns18,696 bytes
scripts/utils/search_tools.pyruns29,258 bytes
scripts/utils/sentiment_tools.pyruns10,099 bytes
scripts/utils/stock_tools.pyruns10,072 bytes
scripts/visualizer.pyruns19,060 bytes
tests/test_reporter.pyruns830 bytes

Read SKILL.md


# AlphaEar Reporter Skill

## Overview

This skill provides a structured workflow for generating professional financial reports. It includes planning, writing, editing, and creating visual aids (charts).

## Capabilities

## Capabilities

### 1. Generate Structured Reports (Agentic Workflow)

**YOU (the Agent)** are the Report Generator. Use the prompts in `references/PROMPTS.md` to progressively build the report.

View the complete source on GitHub

alphaear-search

When your agent uses it

Perform finance web searches and local context searches. Use when the user needs general finance info from the web (Jina/DDG/Baidu) or needs to retrieve finance information from a local document store (RAG).

What it loads into context

Frontmatter

51 tokens

Always available to the agent

SKILL.md

299 tokens

When the skill is activated

Reference documents

151 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

Overview
Capabilities
Dependencies

Scripts executed separately

scripts/__init__.py
scripts/content_extractor.py
scripts/database_manager.py
scripts/hybrid_search.py
scripts/llm/__init__.py
scripts/llm/capability.py
scripts/llm/factory.py
scripts/llm/router.py
scripts/search_tools.py
scripts/sentiment_tools.py
tests/test_search.py

Files

SKILL.mdcore1,178 bytes
references/PROMPTS.mddoc679 bytes
scripts/__init__.pyruns0 bytes
scripts/content_extractor.pyruns4,858 bytes
scripts/database_manager.pyruns5,930 bytes
scripts/hybrid_search.pyruns8,207 bytes
scripts/llm/__init__.pyruns0 bytes
scripts/llm/capability.pyruns2,858 bytes
scripts/llm/factory.pyruns3,717 bytes
scripts/llm/router.pyruns2,865 bytes
scripts/search_tools.pyruns22,110 bytes
scripts/sentiment_tools.pyruns10,099 bytes
tests/test_search.pyruns861 bytes

Read SKILL.md


# AlphaEar Search Skill

## Overview

Unified search capabilities: web search (Jina/DDG/Baidu) and local RAG search.

## Capabilities

### 1. Web Search

Use `scripts/search_tools.py` via `SearchTools`.

-   **Search**: `search(query, engine, max_results)`
    -   Engines: `jina`, `ddg`, `baidu`, `local`.

View the complete source on GitHub

alphaear-sentiment

When your agent uses it

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.

What it loads into context

Frontmatter

45 tokens

Always available to the agent

SKILL.md

522 tokens

When the skill is activated

Reference documents

0 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

Overview
Capabilities
Capabilities
Dependencies

Scripts executed separately

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

Files

SKILL.mdcore2,056 bytes
scripts/__init__.pyruns0 bytes
scripts/database_manager.pyruns21,840 bytes
scripts/llm/capability.pyruns2,862 bytes
scripts/llm/factory.pyruns3,717 bytes
scripts/llm/router.pyruns2,878 bytes
scripts/sentiment_tools.pyruns8,486 bytes
tests/test_sentiment.pyruns743 bytes

Read SKILL.md


# AlphaEar Sentiment Skill

## Overview

This skill provides sentiment analysis capabilities tailored for financial texts, supporting both FinBERT (local model) and LLM-based analysis modes.

## Capabilities

## Capabilities

### 1. Analyze Sentiment (FinBERT / Local)

Use `scripts/sentiment_tools.py` for high-speed, local sentiment analysis using FinBERT.

View the complete source on GitHub

alphaear-signal-tracker

When your agent uses it

Track finance investment signal evolution and update logic based on new finance market information. Use when monitoring finance signals and determining if they are strengthened, weakened, or falsified.

What it loads into context

Frontmatter

44 tokens

Always available to the agent

SKILL.md

434 tokens

When the skill is activated

Reference documents

466 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

Overview
Capabilities
Dependencies

Scripts executed separately

scripts/__init__.py
scripts/fin_agent.py
scripts/prompts/fin_agent.py
scripts/prompts/forecast_analyst.py
scripts/prompts/intent_agent.py
scripts/prompts/isq_prompt_generator.py
scripts/prompts/report_agent.py
scripts/prompts/trend_agent.py
scripts/prompts/visualizer.py
scripts/schema/isq_template.py
scripts/schema/models.py
scripts/tools/__init__.py
scripts/tools/toolkits.py
scripts/utils/__init__.py
scripts/utils/content_extractor.py
scripts/utils/database_manager.py
scripts/utils/hybrid_search.py
scripts/utils/json_utils.py
scripts/utils/llm/capability.py
scripts/utils/llm/factory.py
scripts/utils/llm/router.py
scripts/utils/logging_setup.py
scripts/utils/md_to_html.py
scripts/utils/news_tools.py
scripts/utils/predictor/evaluation.py
scripts/utils/predictor/kline_generate.py
scripts/utils/predictor/model/__init__.py
scripts/utils/predictor/model/kronos.py
scripts/utils/predictor/model/module.py
scripts/utils/predictor/training.py
scripts/utils/search_tools.py
scripts/utils/sentiment_tools.py
scripts/utils/stock_tools.py
tests/test_tracker.py

Files

SKILL.mdcore1,835 bytes
SKILL.mdcore1,835 bytes
references/PROMPTS.mddoc2,000 bytes
scripts/__init__.pyruns0 bytes
scripts/fin_agent.pyruns3,865 bytes
scripts/prompts/fin_agent.pyruns6,710 bytes
scripts/prompts/forecast_analyst.pyruns1,904 bytes
scripts/prompts/intent_agent.pyruns2,240 bytes
scripts/prompts/isq_prompt_generator.pyruns1,821 bytes
scripts/prompts/report_agent.pyruns18,529 bytes
scripts/prompts/trend_agent.pyruns7,534 bytes
scripts/prompts/visualizer.pyruns2,028 bytes
scripts/schema/isq_template.pyruns13,967 bytes
scripts/schema/models.pyruns6,252 bytes
scripts/tools/__init__.pyruns448 bytes
scripts/tools/toolkits.pyruns19,182 bytes
scripts/utils/__init__.pyruns25 bytes
scripts/utils/content_extractor.pyruns4,858 bytes
scripts/utils/database_manager.pyruns21,840 bytes
scripts/utils/hybrid_search.pyruns8,207 bytes
scripts/utils/json_utils.pyruns6,300 bytes
scripts/utils/llm/capability.pyruns2,863 bytes
scripts/utils/llm/factory.pyruns3,717 bytes
scripts/utils/llm/router.pyruns2,875 bytes
scripts/utils/logging_setup.pyruns1,072 bytes
scripts/utils/md_to_html.pyruns4,954 bytes
scripts/utils/news_tools.pyruns10,109 bytes
scripts/utils/predictor/evaluation.pyruns5,723 bytes
scripts/utils/predictor/kline_generate.pyruns7,821 bytes
scripts/utils/predictor/model/__init__.pyruns394 bytes
scripts/utils/predictor/model/kronos.pyruns31,093 bytes
scripts/utils/predictor/model/module.pyruns22,847 bytes
scripts/utils/predictor/training.pyruns18,696 bytes
scripts/utils/search_tools.pyruns29,258 bytes
scripts/utils/sentiment_tools.pyruns10,099 bytes
scripts/utils/stock_tools.pyruns10,072 bytes
tests/test_tracker.pyruns565 bytes

Read SKILL.md


# AlphaEar Signal Tracker Skill

## Overview

This skill provides logic to track and update investment signals. It assesses how new market information impacts existing signals (Strengthened, Weakened, Falsified, or Unchanged).

## Capabilities

### 1. Track Signal Evolution

### 1. Track Signal Evolution (Agentic Workflow)

**YOU (the Agent)** are the Tracker. Use the prompts in `references/PROMPTS.md`.

View the complete source on GitHub

alphaear-stock

When your agent uses it

Search A-Share/HK/US finance stock tickers and retrieve finance stock price history. Use when user asks about finance stock codes, recent price changes, or specific company finance stock info.

What it loads into context

Frontmatter

47 tokens

Always available to the agent

SKILL.md

395 tokens

When the skill is activated

Reference documents

0 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

Overview
Capabilities
Dependencies
Notes

Scripts executed separately

scripts/__init__.py
scripts/database_manager.py
scripts/stock_tools.py
tests/test_stock.py

Files

SKILL.mdcore1,532 bytes
SKILL.mdcore1,532 bytes
scripts/__init__.pyruns0 bytes
scripts/database_manager.pyruns4,184 bytes
scripts/stock_tools.pyruns19,824 bytes
tests/test_stock.pyruns634 bytes

Read SKILL.md


# AlphaEar Stock Skill

## Overview

Search A-Share/HK/US stock tickers and retrieve historical price data (OHLCV).

## Capabilities

### 1. Stock Search & Data

Use `scripts/stock_tools.py` via `StockTools`.

-   **Search**: `search_ticker(query)`
    -   Fuzzy search by code or name (e.g., "Moutai", "600519").

View the complete source on GitHub

skill-creator

When your agent uses it

Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.

What it loads into context

Frontmatter

32 tokens

Always available to the agent

SKILL.md

3,833 tokens

When the skill is activated

Reference documents

0 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

About Skills
Core Principles
Skill Creation Process

Scripts executed separately

scripts/init_skill.py
scripts/package_skill.py
scripts/quick_validate.py

Files

SKILL.mdcore18,356 bytes
license.txtdoc11,358 bytes
scripts/init_skill.pyruns13,753 bytes
scripts/package_skill.pyruns3,280 bytes
scripts/quick_validate.pyruns3,293 bytes

Read SKILL.md


# Skill Creator

This skill provides guidance for creating effective skills.

## About Skills

Skills are modular, self-contained packages that extend Codex's capabilities by providing
specialized knowledge, workflows, and tools. Think of them as "onboarding guides" for specific
domains or tasks—they transform Codex from a general-purpose agent into a specialized agent
equipped with procedural knowledge that no model can fully possess.

### What Skills Provide

1. Specialized workflows - Multi-step procedures for specific domains

View the complete source on GitHub

Skills included

alphaear-deepear-lite
alphaear-logic-visualizer
alphaear-news
alphaear-predictor
alphaear-reporter
alphaear-search
alphaear-sentiment
alphaear-signal-tracker
alphaear-stock
skill-creator

Repository facts

License: Apache-2.0
Created: Jan 31, 2026
Last pushed: Mar 29, 2026
Forks: 389
Open issues: 1
Project activity: Slowing

Rank over the last 12 weeks

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#387 on Oct 31

Before you install

Network or broad shell

Automated signals, not a guarantee

Checked Nov 2, 2026

Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.

Show 5 notes

skills/alphaear-deepear-lite/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
skills/alphaear-deepear-lite/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
skills/alphaear-predictor/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
skills/alphaear-signal-tracker/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
skills/alphaear-stock/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed

No broad tool permissions
No dangerous shell commands
144 network referencesin 38 files: alphaear-deepear-lite/scripts/deepear_lite.py:5 alphaear-news/scripts/news_tools.py:14 alphaear-reporter/scripts/utils/news_tools.py:14 and 35 more
No hidden or obfuscated text
No instruction overrides
135 executable scriptsin 135 files: alphaear-deepear-lite/scripts/deepear_lite.py:1 alphaear-logic-visualizer/scripts/__init__.py:1 alphaear-logic-visualizer/scripts/visualizer.py:1 and 132 more
196 references to secretsin 19 files: alphaear-predictor/scripts/utils/llm/factory.py:25 alphaear-reporter/scripts/utils/llm/factory.py:25 alphaear-search/scripts/llm/factory.py:25 and 16 more
No requests to vote in Hot

Show all 475 signals by file

`skills/alphaear-deepear-lite/SKILL.md`

Network accessline 18

-   **Fetch Signals**: `fetch_latest_signals()`     -   Retrieves all latest signals from `https://deepear.vercel.app/latest.json`.

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-   Retrieves all latest signals from `https://deepear.vercel.app/latest.json`.

`skills/alphaear-deepear-lite/scripts/deepear_lite.py`

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"""     Tools for fetching signals from DeepEar Lite (https://deepear.vercel.app/lite).

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Tools for fetching signals from DeepEar Lite (https://deepear.vercel.app/lite).

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LATEST_JSON_URL = "https://deepear.vercel.app/latest.json"

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headers = {                 "User-Agent": "DeepEar-Skill-Agent/1.0 (Awesome-Finance-Skills)",                 "Referer": "https://deepear.vercel.app/lite"

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"User-Agent": "DeepEar-Skill-Agent/1.0 (Awesome-Finance-Skills)",                 "Referer": "https://deepear.vercel.app/lite"             }

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"Referer": "https://deepear.vercel.app/lite"             }             response = requests.get(self.LATEST_JSON_URL, headers=headers, timeout=10)

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}             response = requests.get(self.LATEST_JSON_URL, headers=headers, timeout=10)             response.raise_for_status()

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response = requests.get(self.LATEST_JSON_URL, headers=headers, timeout=10)

`skills/alphaear-logic-visualizer/scripts/init.py`

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`skills/alphaear-logic-visualizer/scripts/visualizer.py`

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<h2>{title}</h2>             <div class="mxgraph" style="max-width:100%;border:1px solid transparent;" data-mxgraph='{safe_json_str}'></div>             <script type="text/javascript" src="https://viewer.diagrams.net/js/viewer-static.min.js

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<div class="mxgraph" style="max-width:100%;border:1px solid transparent;" data-mxgraph='{safe_json_str}'></div>             <script type="text/javascript" src="https://viewer.diagrams.net/js/viewer-static.min.js"></script>         </body>

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<script type="text/javascript" src="https://viewer.diagrams.net/js/viewer-static.min.js"></script>

`skills/alphaear-logic-visualizer/scripts/visualizer_prompt.py`

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`skills/alphaear-logic-visualizer/tests/test_visualizer.py`

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`skills/alphaear-news/references/sources.md`

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- **Base URL**: `https://gamma-api.polymarket.com`

`skills/alphaear-news/scripts/init.py`

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`skills/alphaear-news/scripts/content_extractor.py`

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full_url = f"{cls.JINA_BASE_URL}{url}"             response = requests.get(full_url, headers=headers, timeout=timeout)

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response = requests.get(full_url, headers=headers, timeout=timeout)

`skills/alphaear-news/scripts/database_manager.py`

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`skills/alphaear-news/scripts/news_tools.py`

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BASE_URL = "https://newsnow.busiyi.world"

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try:             url = f"{self.BASE_URL}/api/s?id={source_id}"             response = requests.get(url, headers={"User-Agent": self.user_agent}, timeout=30)

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url = f"{self.BASE_URL}/api/s?id={source_id}"             response = requests.get(url, headers={"User-Agent": self.user_agent}, timeout=30)             if response.status_code == 200:

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response = requests.get(url, headers={"User-Agent": self.user_agent}, timeout=30)

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BASE_URL = "https://gamma-api.polymarket.com"

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try:             response = requests.get(

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```
response = requests.get(
```

`skills/alphaear-news/tests/test_news.py`

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`skills/alphaear-predictor/scripts/init.py`

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`skills/alphaear-predictor/scripts/forecast_agent.py`

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`skills/alphaear-predictor/scripts/json_utils.py`

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"""     Safely remove C-style comments (// and /* */) from JSON-like text,     preserving strings (including URLs like http://).

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Safely remove C-style comments (// and /* */) from JSON-like text,     preserving strings (including URLs like http://).     """

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preserving strings (including URLs like http://).

`skills/alphaear-predictor/scripts/kronos_predictor.py`

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`skills/alphaear-predictor/scripts/predictor/model/init.py`

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`skills/alphaear-predictor/scripts/predictor/model/kronos.py`

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if top_k > 0: keep only top k tokens with highest probability (top-k filtering).         if top_p < 1.0: keep the top tokens with cumulative probability >= top_p (nucleus filtering).             Nucleus filtering is described in Holtzman et

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if top_p < 1.0: keep the top tokens with cumulative probability >= top_p (nucleus filtering).             Nucleus filtering is described in Holtzman et al. (http://arxiv.org/abs/1904.09751)         Make sure we keep at least min_tokens_to_k

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Nucleus filtering is described in Holtzman et al. (http://arxiv.org/abs/1904.09751)

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Make sure we keep at least min_tokens_to_keep per batch example in the output     From: https://gist.github.com/thomwolf/1a5a29f6962089e871b94cbd09daf317     """

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From: https://gist.github.com/thomwolf/1a5a29f6962089e871b94cbd09daf317

`skills/alphaear-predictor/scripts/predictor/model/module.py`

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"""         Paper link: https://arxiv.org/pdf/2406.07548.pdf

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Paper link: https://arxiv.org/pdf/2406.07548.pdf

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self.soft_entropy = soft_entropy  # soft_entropy: Sec 3.2 of https://arxiv.org/pdf/1911.05894.pdf

`skills/alphaear-predictor/scripts/prompts/fin_agent.py`

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`skills/alphaear-predictor/scripts/prompts/forecast_analyst.py`

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`skills/alphaear-predictor/scripts/prompts/intent_agent.py`

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`skills/alphaear-predictor/scripts/prompts/isq_prompt_generator.py`

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`skills/alphaear-predictor/scripts/prompts/report_agent.py`

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`skills/alphaear-predictor/scripts/prompts/trend_agent.py`

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`skills/alphaear-predictor/scripts/prompts/visualizer.py`

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`skills/alphaear-predictor/scripts/schema/isq_template.py`

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`skills/alphaear-predictor/scripts/schema/models.py`

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`skills/alphaear-predictor/scripts/utils/init.py`

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`skills/alphaear-predictor/scripts/utils/database_manager.py`

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`skills/alphaear-predictor/scripts/utils/json_utils.py`

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"""     Safely remove C-style comments (// and /* */) from JSON-like text,     preserving strings (including URLs like http://).

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Safely remove C-style comments (// and /* */) from JSON-like text,     preserving strings (including URLs like http://).     """

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preserving strings (including URLs like http://).

`skills/alphaear-predictor/scripts/utils/llm/capability.py`

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`skills/alphaear-predictor/scripts/utils/llm/factory.py`

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return DashScope(             id=model_id,             base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",

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base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",

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return OpenAIChat(             id=model_id,             base_url="https://api.z.ai/api/paas/v4",

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base_url="https://api.z.ai/api/paas/v4",

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`skills/alphaear-predictor/scripts/utils/llm/router.py`

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`skills/alphaear-predictor/scripts/utils/logging_setup.py`

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`skills/alphaear-predictor/scripts/utils/predictor/evaluation.py`

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`skills/alphaear-predictor/scripts/utils/predictor/kline_generate.py`

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# Ref: https://github.com/shiyu-coder/Kronos

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`skills/alphaear-predictor/scripts/utils/predictor/model/init.py`

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`skills/alphaear-predictor/scripts/utils/predictor/model/kronos.py`

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if top_k > 0: keep only top k tokens with highest probability (top-k filtering).         if top_p < 1.0: keep the top tokens with cumulative probability >= top_p (nucleus filtering).             Nucleus filtering is described in Holtzman et

Network accessline 359

if top_p < 1.0: keep the top tokens with cumulative probability >= top_p (nucleus filtering).             Nucleus filtering is described in Holtzman et al. (http://arxiv.org/abs/1904.09751)         Make sure we keep at least min_tokens_to_k

Network accessline 360

Nucleus filtering is described in Holtzman et al. (http://arxiv.org/abs/1904.09751)

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Make sure we keep at least min_tokens_to_keep per batch example in the output     From: https://gist.github.com/thomwolf/1a5a29f6962089e871b94cbd09daf317     """

Network accessline 362

From: https://gist.github.com/thomwolf/1a5a29f6962089e871b94cbd09daf317

`skills/alphaear-predictor/scripts/utils/predictor/model/module.py`

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"""         Paper link: https://arxiv.org/pdf/2406.07548.pdf

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Paper link: https://arxiv.org/pdf/2406.07548.pdf

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self.soft_entropy = soft_entropy  # soft_entropy: Sec 3.2 of https://arxiv.org/pdf/1911.05894.pdf

`skills/alphaear-predictor/scripts/utils/predictor/training.py`

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`skills/alphaear-predictor/scripts/utils/search_tools.py`

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```
JINA_SEARCH_URL = "https://s.jina.ai/"
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# Jina Search API: https://s.jina.ai/{query}

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response = requests.get(url, headers=headers, timeout=30)

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`skills/alphaear-predictor/scripts/utils/stock_tools.py`

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`skills/alphaear-predictor/tests/test_predictor.py`

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`skills/alphaear-reporter/scripts/init.py`

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`skills/alphaear-reporter/scripts/prompts/fin_agent.py`

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`skills/alphaear-reporter/scripts/prompts/forecast_analyst.py`

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`skills/alphaear-reporter/scripts/prompts/intent_agent.py`

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`skills/alphaear-reporter/scripts/prompts/isq_prompt_generator.py`

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`skills/alphaear-reporter/scripts/prompts/report_agent.py`

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`skills/alphaear-reporter/scripts/prompts/trend_agent.py`

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`skills/alphaear-reporter/scripts/prompts/visualizer.py`

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`skills/alphaear-reporter/scripts/report_agent.py`

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`skills/alphaear-reporter/scripts/schema/isq_template.py`

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`skills/alphaear-reporter/scripts/tools/init.py`

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`skills/alphaear-reporter/scripts/utils/content_extractor.py`

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JINA_BASE_URL = "https://r.jina.ai/"
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full_url = f"{cls.JINA_BASE_URL}{url}"             response = requests.get(full_url, headers=headers, timeout=timeout)

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response = requests.get(full_url, headers=headers, timeout=timeout)

`skills/alphaear-reporter/scripts/utils/database_manager.py`

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`skills/alphaear-reporter/scripts/utils/hybrid_search.py`

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`skills/alphaear-reporter/scripts/utils/json_utils.py`

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"""     Safely remove C-style comments (// and /* */) from JSON-like text,     preserving strings (including URLs like http://).

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Safely remove C-style comments (// and /* */) from JSON-like text,     preserving strings (including URLs like http://).     """

Network accessline 10

preserving strings (including URLs like http://).

`skills/alphaear-reporter/scripts/utils/llm/capability.py`

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`skills/alphaear-reporter/scripts/utils/llm/factory.py`

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return DashScope(             id=model_id,             base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",

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base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",

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Access to secretsline 48
```
[Credential-related source omitted]
```
Access to secretsline 52
```
[Credential-related source omitted]
```
Access to secretsline 57
```
[Credential-related source omitted]
```
Access to secretsline 58
```
[Credential-related source omitted]
```

Network accessline 73

return OpenAIChat(             id=model_id,             base_url="https://api.z.ai/api/paas/v4",

Network accessline 74
```
[Credential-related source omitted]
```

Network accessline 75

base_url="https://api.z.ai/api/paas/v4",

Access to secretsline 76
```
[Credential-related source omitted]
```
Access to secretsline 84
```
[Credential-related source omitted]
```
Access to secretsline 85
```
[Credential-related source omitted]
```
Access to secretsline 105
```
[Credential-related source omitted]
```

`skills/alphaear-reporter/scripts/utils/llm/router.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-reporter/scripts/utils/logging_setup.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-reporter/scripts/utils/news_tools.py`

Executable scriptline 1
```
Executable file
```

Network accessline 14

BASE_URL = "https://newsnow.busiyi.world"

Network accessline 59

try:             url = f"{self.BASE_URL}/api/s?id={source_id}"             response = requests.get(url, headers={"User-Agent": self.user_agent}, timeout=30)

Network accessline 60

url = f"{self.BASE_URL}/api/s?id={source_id}"             response = requests.get(url, headers={"User-Agent": self.user_agent}, timeout=30)             if response.status_code == 200:

Network accessline 61

response = requests.get(url, headers={"User-Agent": self.user_agent}, timeout=30)

Network accessline 165

BASE_URL = "https://gamma-api.polymarket.com"

Network accessline 190

try:             response = requests.get(

Network accessline 191
```
response = requests.get(
```

`skills/alphaear-reporter/scripts/utils/predictor/evaluation.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-reporter/scripts/utils/predictor/kline_generate.py`

Network accessline 1

# Ref: https://github.com/shiyu-coder/Kronos

Executable scriptline 1
```
Executable file
```

`skills/alphaear-reporter/scripts/utils/predictor/model/init.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-reporter/scripts/utils/predictor/model/kronos.py`

Executable scriptline 1
```
Executable file
```

Network accessline 358

if top_k > 0: keep only top k tokens with highest probability (top-k filtering).         if top_p < 1.0: keep the top tokens with cumulative probability >= top_p (nucleus filtering).             Nucleus filtering is described in Holtzman et

Network accessline 359

if top_p < 1.0: keep the top tokens with cumulative probability >= top_p (nucleus filtering).             Nucleus filtering is described in Holtzman et al. (http://arxiv.org/abs/1904.09751)         Make sure we keep at least min_tokens_to_k

Network accessline 360

Nucleus filtering is described in Holtzman et al. (http://arxiv.org/abs/1904.09751)

Network accessline 361

Make sure we keep at least min_tokens_to_keep per batch example in the output     From: https://gist.github.com/thomwolf/1a5a29f6962089e871b94cbd09daf317     """

Network accessline 362

From: https://gist.github.com/thomwolf/1a5a29f6962089e871b94cbd09daf317

`skills/alphaear-reporter/scripts/utils/predictor/model/module.py`

Executable scriptline 1
```
Executable file
```

Network accessline 47

"""         Paper link: https://arxiv.org/pdf/2406.07548.pdf

Network accessline 48

Paper link: https://arxiv.org/pdf/2406.07548.pdf

Network accessline 80

self.soft_entropy = soft_entropy  # soft_entropy: Sec 3.2 of https://arxiv.org/pdf/1911.05894.pdf

`skills/alphaear-reporter/scripts/utils/predictor/training.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-reporter/scripts/utils/search_tools.py`

Executable scriptline 1
```
Executable file
```
Network accessline 26
```
JINA_SEARCH_URL = "https://s.jina.ai/"
```
Access to secretsline 37
```
[Credential-related source omitted]
```
Access to secretsline 38
```
[Credential-related source omitted]
```
Access to secretsline 39
```
[Credential-related source omitted]
```
Access to secretsline 43
```
[Credential-related source omitted]
```
Access to secretsline 45
```
[Credential-related source omitted]
```
Access to secretsline 86
```
[Credential-related source omitted]
```
Access to secretsline 93
```
[Credential-related source omitted]
```
Access to secretsline 94
```
[Credential-related source omitted]
```

Network accessline 97

# Jina Search API: https://s.jina.ai/{query}

Network accessline 102

response = requests.get(url, headers=headers, timeout=30)

Access to secretsline 163
```
[Credential-related source omitted]
```
Access to secretsline 164
```
[Credential-related source omitted]
```
Access to secretsline 175
```
[Credential-related source omitted]
```
Access to secretsline 190
```
[Credential-related source omitted]
```
Access to secretsline 194
```
[Credential-related source omitted]
```

`skills/alphaear-reporter/scripts/utils/sentiment_tools.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-reporter/scripts/utils/stock_tools.py`

Executable scriptline 1
```
Executable file
```
Access to secretsline 16
```
[Credential-related source omitted]
```
Access to secretsline 18
```
[Credential-related source omitted]
```
Access to secretsline 19
```
[Credential-related source omitted]
```
Access to secretsline 25
```
[Credential-related source omitted]
```

`skills/alphaear-reporter/scripts/visualizer.py`

Executable scriptline 1
```
Executable file
```

Network accessline 443

<h2>{title}</h2>             <div class="mxgraph" style="max-width:100%;border:1px solid transparent;" data-mxgraph='{safe_json_str}'></div>             <script type="text/javascript" src="https://viewer.diagrams.net/js/viewer-static.min.js

Network accessline 444

<div class="mxgraph" style="max-width:100%;border:1px solid transparent;" data-mxgraph='{safe_json_str}'></div>             <script type="text/javascript" src="https://viewer.diagrams.net/js/viewer-static.min.js"></script>         </body>

Network accessline 445

<script type="text/javascript" src="https://viewer.diagrams.net/js/viewer-static.min.js"></script>

`skills/alphaear-reporter/tests/test_reporter.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-search/scripts/init.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-search/scripts/content_extractor.py`

Executable scriptline 1
```
Executable file
```
Network accessline 14
```
JINA_BASE_URL = "https://r.jina.ai/"
```
Access to secretsline 27
```
[Credential-related source omitted]
```
Access to secretsline 29
```
[Credential-related source omitted]
```
Access to secretsline 78
```
[Credential-related source omitted]
```
Access to secretsline 79
```
[Credential-related source omitted]
```
Access to secretsline 80
```
[Credential-related source omitted]
```
Access to secretsline 82
```
[Credential-related source omitted]
```
Access to secretsline 83
```
[Credential-related source omitted]
```
Access to secretsline 86
```
[Credential-related source omitted]
```

Network accessline 90

full_url = f"{cls.JINA_BASE_URL}{url}"             response = requests.get(full_url, headers=headers, timeout=timeout)

Network accessline 91

response = requests.get(full_url, headers=headers, timeout=timeout)

`skills/alphaear-search/scripts/database_manager.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-search/scripts/hybrid_search.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-search/scripts/llm/init.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-search/scripts/llm/capability.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-search/scripts/llm/factory.py`

Executable scriptline 1
```
Executable file
```
Access to secretsline 25
```
[Credential-related source omitted]
```
Access to secretsline 26
```
[Credential-related source omitted]
```
Access to secretsline 27
```
[Credential-related source omitted]
```
Access to secretsline 31
```
[Credential-related source omitted]
```
Access to secretsline 35
```
[Credential-related source omitted]
```
Access to secretsline 36
```
[Credential-related source omitted]
```
Access to secretsline 37
```
[Credential-related source omitted]
```

Network accessline 39

return DashScope(             id=model_id,             base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",

Network accessline 40
```
[Credential-related source omitted]
```

Network accessline 41

base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",

Access to secretsline 42
```
[Credential-related source omitted]
```
Access to secretsline 46
```
[Credential-related source omitted]
```
Access to secretsline 47
```
[Credential-related source omitted]
```
Access to secretsline 48
```
[Credential-related source omitted]
```
Access to secretsline 52
```
[Credential-related source omitted]
```
Access to secretsline 57
```
[Credential-related source omitted]
```
Access to secretsline 58
```
[Credential-related source omitted]
```

Network accessline 73

return OpenAIChat(             id=model_id,             base_url="https://api.z.ai/api/paas/v4",

Network accessline 74
```
[Credential-related source omitted]
```

Network accessline 75

base_url="https://api.z.ai/api/paas/v4",

Access to secretsline 76
```
[Credential-related source omitted]
```
Access to secretsline 84
```
[Credential-related source omitted]
```
Access to secretsline 85
```
[Credential-related source omitted]
```
Access to secretsline 105
```
[Credential-related source omitted]
```

`skills/alphaear-search/scripts/llm/router.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-search/scripts/search_tools.py`

Executable scriptline 1
```
Executable file
```
Network accessline 23
```
JINA_SEARCH_URL = "https://s.jina.ai/"
```
Access to secretsline 34
```
[Credential-related source omitted]
```
Access to secretsline 35
```
[Credential-related source omitted]
```
Access to secretsline 36
```
[Credential-related source omitted]
```
Access to secretsline 40
```
[Credential-related source omitted]
```
Access to secretsline 42
```
[Credential-related source omitted]
```
Access to secretsline 83
```
[Credential-related source omitted]
```
Access to secretsline 90
```
[Credential-related source omitted]
```
Access to secretsline 91
```
[Credential-related source omitted]
```

Network accessline 94

# Jina Search API: https://s.jina.ai/{query}

Network accessline 99

response = requests.get(url, headers=headers, timeout=30)

Access to secretsline 160
```
[Credential-related source omitted]
```
Access to secretsline 161
```
[Credential-related source omitted]
```
Access to secretsline 172
```
[Credential-related source omitted]
```
Access to secretsline 187
```
[Credential-related source omitted]
```
Access to secretsline 191
```
[Credential-related source omitted]
```

`skills/alphaear-search/scripts/sentiment_tools.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-search/tests/test_search.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-sentiment/scripts/init.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-sentiment/scripts/database_manager.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-sentiment/scripts/llm/capability.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-sentiment/scripts/llm/factory.py`

Executable scriptline 1
```
Executable file
```
Access to secretsline 25
```
[Credential-related source omitted]
```
Access to secretsline 26
```
[Credential-related source omitted]
```
Access to secretsline 27
```
[Credential-related source omitted]
```
Access to secretsline 31
```
[Credential-related source omitted]
```
Access to secretsline 35
```
[Credential-related source omitted]
```
Access to secretsline 36
```
[Credential-related source omitted]
```
Access to secretsline 37
```
[Credential-related source omitted]
```

Network accessline 39

return DashScope(             id=model_id,             base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",

Network accessline 40
```
[Credential-related source omitted]
```

Network accessline 41

base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",

Access to secretsline 42
```
[Credential-related source omitted]
```
Access to secretsline 46
```
[Credential-related source omitted]
```
Access to secretsline 47
```
[Credential-related source omitted]
```
Access to secretsline 48
```
[Credential-related source omitted]
```
Access to secretsline 52
```
[Credential-related source omitted]
```
Access to secretsline 57
```
[Credential-related source omitted]
```
Access to secretsline 58
```
[Credential-related source omitted]
```

Network accessline 73

return OpenAIChat(             id=model_id,             base_url="https://api.z.ai/api/paas/v4",

Network accessline 74
```
[Credential-related source omitted]
```

Network accessline 75

base_url="https://api.z.ai/api/paas/v4",

Access to secretsline 76
```
[Credential-related source omitted]
```
Access to secretsline 84
```
[Credential-related source omitted]
```
Access to secretsline 85
```
[Credential-related source omitted]
```
Access to secretsline 105
```
[Credential-related source omitted]
```

`skills/alphaear-sentiment/scripts/llm/router.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-sentiment/scripts/sentiment_tools.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-sentiment/tests/test_sentiment.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-signal-tracker/scripts/init.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-signal-tracker/scripts/fin_agent.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-signal-tracker/scripts/prompts/fin_agent.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-signal-tracker/scripts/prompts/forecast_analyst.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-signal-tracker/scripts/prompts/intent_agent.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-signal-tracker/scripts/prompts/isq_prompt_generator.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-signal-tracker/scripts/prompts/report_agent.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-signal-tracker/scripts/prompts/trend_agent.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-signal-tracker/scripts/prompts/visualizer.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-signal-tracker/scripts/schema/isq_template.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-signal-tracker/scripts/schema/models.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-signal-tracker/scripts/tools/init.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-signal-tracker/scripts/tools/toolkits.py`

Executable scriptline 1
```
Executable file
```
Access to secretsline 382
```
[Credential-related source omitted]
```
Access to secretsline 402
```
[Credential-related source omitted]
```
Access to secretsline 405
```
[Credential-related source omitted]
```

`skills/alphaear-signal-tracker/scripts/utils/init.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-signal-tracker/scripts/utils/content_extractor.py`

Executable scriptline 1
```
Executable file
```
Network accessline 14
```
JINA_BASE_URL = "https://r.jina.ai/"
```
Access to secretsline 27
```
[Credential-related source omitted]
```
Access to secretsline 29
```
[Credential-related source omitted]
```
Access to secretsline 78
```
[Credential-related source omitted]
```
Access to secretsline 79
```
[Credential-related source omitted]
```
Access to secretsline 80
```
[Credential-related source omitted]
```
Access to secretsline 82
```
[Credential-related source omitted]
```
Access to secretsline 83
```
[Credential-related source omitted]
```
Access to secretsline 86
```
[Credential-related source omitted]
```

Network accessline 90

full_url = f"{cls.JINA_BASE_URL}{url}"             response = requests.get(full_url, headers=headers, timeout=timeout)

Network accessline 91

response = requests.get(full_url, headers=headers, timeout=timeout)

`skills/alphaear-signal-tracker/scripts/utils/database_manager.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-signal-tracker/scripts/utils/hybrid_search.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-signal-tracker/scripts/utils/json_utils.py`

Executable scriptline 1
```
Executable file
```

Network accessline 8

"""     Safely remove C-style comments (// and /* */) from JSON-like text,     preserving strings (including URLs like http://).

Network accessline 9

Safely remove C-style comments (// and /* */) from JSON-like text,     preserving strings (including URLs like http://).     """

Network accessline 10

preserving strings (including URLs like http://).

`skills/alphaear-signal-tracker/scripts/utils/llm/capability.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-signal-tracker/scripts/utils/llm/factory.py`

Executable scriptline 1
```
Executable file
```
Access to secretsline 25
```
[Credential-related source omitted]
```
Access to secretsline 26
```
[Credential-related source omitted]
```
Access to secretsline 27
```
[Credential-related source omitted]
```
Access to secretsline 31
```
[Credential-related source omitted]
```
Access to secretsline 35
```
[Credential-related source omitted]
```
Access to secretsline 36
```
[Credential-related source omitted]
```
Access to secretsline 37
```
[Credential-related source omitted]
```

Network accessline 39

return DashScope(             id=model_id,             base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",

Network accessline 40
```
[Credential-related source omitted]
```

Network accessline 41

base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",

Access to secretsline 42
```
[Credential-related source omitted]
```
Access to secretsline 46
```
[Credential-related source omitted]
```
Access to secretsline 47
```
[Credential-related source omitted]
```
Access to secretsline 48
```
[Credential-related source omitted]
```
Access to secretsline 52
```
[Credential-related source omitted]
```
Access to secretsline 57
```
[Credential-related source omitted]
```
Access to secretsline 58
```
[Credential-related source omitted]
```

Network accessline 73

return OpenAIChat(             id=model_id,             base_url="https://api.z.ai/api/paas/v4",

Network accessline 74
```
[Credential-related source omitted]
```

Network accessline 75

base_url="https://api.z.ai/api/paas/v4",

Access to secretsline 76
```
[Credential-related source omitted]
```
Access to secretsline 84
```
[Credential-related source omitted]
```
Access to secretsline 85
```
[Credential-related source omitted]
```
Access to secretsline 105
```
[Credential-related source omitted]
```

`skills/alphaear-signal-tracker/scripts/utils/llm/router.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-signal-tracker/scripts/utils/logging_setup.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-signal-tracker/scripts/utils/md_to_html.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-signal-tracker/scripts/utils/news_tools.py`

Executable scriptline 1
```
Executable file
```

Network accessline 14

BASE_URL = "https://newsnow.busiyi.world"

Network accessline 59

try:             url = f"{self.BASE_URL}/api/s?id={source_id}"             response = requests.get(url, headers={"User-Agent": self.user_agent}, timeout=30)

Network accessline 60

url = f"{self.BASE_URL}/api/s?id={source_id}"             response = requests.get(url, headers={"User-Agent": self.user_agent}, timeout=30)             if response.status_code == 200:

Network accessline 61

response = requests.get(url, headers={"User-Agent": self.user_agent}, timeout=30)

Network accessline 165

BASE_URL = "https://gamma-api.polymarket.com"

Network accessline 190

try:             response = requests.get(

Network accessline 191
```
response = requests.get(
```

`skills/alphaear-signal-tracker/scripts/utils/predictor/evaluation.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-signal-tracker/scripts/utils/predictor/kline_generate.py`

Network accessline 1

# Ref: https://github.com/shiyu-coder/Kronos

Executable scriptline 1
```
Executable file
```

`skills/alphaear-signal-tracker/scripts/utils/predictor/model/init.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-signal-tracker/scripts/utils/predictor/model/kronos.py`

Executable scriptline 1
```
Executable file
```

Network accessline 358

if top_k > 0: keep only top k tokens with highest probability (top-k filtering).         if top_p < 1.0: keep the top tokens with cumulative probability >= top_p (nucleus filtering).             Nucleus filtering is described in Holtzman et

Network accessline 359

if top_p < 1.0: keep the top tokens with cumulative probability >= top_p (nucleus filtering).             Nucleus filtering is described in Holtzman et al. (http://arxiv.org/abs/1904.09751)         Make sure we keep at least min_tokens_to_k

Network accessline 360

Nucleus filtering is described in Holtzman et al. (http://arxiv.org/abs/1904.09751)

Network accessline 361

Make sure we keep at least min_tokens_to_keep per batch example in the output     From: https://gist.github.com/thomwolf/1a5a29f6962089e871b94cbd09daf317     """

Network accessline 362

From: https://gist.github.com/thomwolf/1a5a29f6962089e871b94cbd09daf317

`skills/alphaear-signal-tracker/scripts/utils/predictor/model/module.py`

Executable scriptline 1
```
Executable file
```

Network accessline 47

"""         Paper link: https://arxiv.org/pdf/2406.07548.pdf

Network accessline 48

Paper link: https://arxiv.org/pdf/2406.07548.pdf

Network accessline 80

self.soft_entropy = soft_entropy  # soft_entropy: Sec 3.2 of https://arxiv.org/pdf/1911.05894.pdf

`skills/alphaear-signal-tracker/scripts/utils/predictor/training.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-signal-tracker/scripts/utils/search_tools.py`

Executable scriptline 1
```
Executable file
```
Network accessline 26
```
JINA_SEARCH_URL = "https://s.jina.ai/"
```
Access to secretsline 37
```
[Credential-related source omitted]
```
Access to secretsline 38
```
[Credential-related source omitted]
```
Access to secretsline 39
```
[Credential-related source omitted]
```
Access to secretsline 43
```
[Credential-related source omitted]
```
Access to secretsline 45
```
[Credential-related source omitted]
```
Access to secretsline 86
```
[Credential-related source omitted]
```
Access to secretsline 93
```
[Credential-related source omitted]
```
Access to secretsline 94
```
[Credential-related source omitted]
```

Network accessline 97

# Jina Search API: https://s.jina.ai/{query}

Network accessline 102

response = requests.get(url, headers=headers, timeout=30)

Access to secretsline 163
```
[Credential-related source omitted]
```
Access to secretsline 164
```
[Credential-related source omitted]
```
Access to secretsline 175
```
[Credential-related source omitted]
```
Access to secretsline 190
```
[Credential-related source omitted]
```
Access to secretsline 194
```
[Credential-related source omitted]
```

`skills/alphaear-signal-tracker/scripts/utils/sentiment_tools.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-signal-tracker/scripts/utils/stock_tools.py`

Executable scriptline 1
```
Executable file
```
Access to secretsline 16
```
[Credential-related source omitted]
```
Access to secretsline 18
```
[Credential-related source omitted]
```
Access to secretsline 19
```
[Credential-related source omitted]
```
Access to secretsline 25
```
[Credential-related source omitted]
```

`skills/alphaear-signal-tracker/tests/test_tracker.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-stock/scripts/init.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-stock/scripts/database_manager.py`

Executable scriptline 1
```
Executable file
```

`skills/alphaear-stock/scripts/stock_tools.py`

Executable scriptline 1
```
Executable file
```

Network accessline 21

KLINE_URL = "https://push2his.eastmoney.com/api/qt/stock/kline/get"

Network accessline 22

LIST_URL = "https://push2.eastmoney.com/api/qt/clist/get"

Access to secretsline 116
```
[Credential-related source omitted]
```
Access to secretsline 118
```
[Credential-related source omitted]
```
Access to secretsline 119
```
[Credential-related source omitted]
```
Access to secretsline 125
```
[Credential-related source omitted]
```

`skills/alphaear-stock/tests/test_stock.py`

Executable scriptline 1
```
Executable file
```

`skills/skill-creator/license.txt`

Network accessline 2

Apache License                            Version 2.0, January 2004                         http://www.apache.org/licenses/

Network accessline 4
```
http://www.apache.org/licenses/
```

Network accessline 196

http://www.apache.org/licenses/LICENSE-2.0

`skills/skill-creator/scripts/init_skill.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

`skills/skill-creator/scripts/package_skill.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

`skills/skill-creator/scripts/quick_validate.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

How the signals fit together

Facts from a static read of the files at the pinned commit. They describe what the code does, not why.

Some files could not be read; the facts below still hold.

Declared and executed: 32 facts

Contacts viewer.diagrams.net, which SKILL.md, the README and the plugin manifest do not mentionalphaear-logic-visualizer/scripts/visualizer.py:445High confidence
Contacts r.jina.ai, which SKILL.md, the README and the plugin manifest do not mentionalphaear-news/scripts/content_extractor.py:14High confidence
Contacts newsnow.busiyi.world, which SKILL.md, the README and the plugin manifest do not mentionalphaear-news/scripts/news_tools.py:14High confidence
Contacts gamma-api.polymarket.com, which SKILL.md, the README and the plugin manifest do not mentionalphaear-news/scripts/news_tools.py:165High confidence
Contacts arxiv.org, which SKILL.md, the README and the plugin manifest do not mentionalphaear-predictor/scripts/predictor/model/module.py:80High confidence
Contacts dashscope.aliyuncs.com, which SKILL.md, the README and the plugin manifest do not mentionalphaear-predictor/scripts/utils/llm/factory.py:41High confidence
Contacts api.z.ai, which SKILL.md, the README and the plugin manifest do not mentionalphaear-predictor/scripts/utils/llm/factory.py:75High confidence
Contacts arxiv.org, which SKILL.md, the README and the plugin manifest do not mentionalphaear-predictor/scripts/utils/predictor/model/module.py:80High confidence
Contacts s.jina.ai, which SKILL.md, the README and the plugin manifest do not mentionalphaear-predictor/scripts/utils/search_tools.py:26High confidence
Contacts r.jina.ai, which SKILL.md, the README and the plugin manifest do not mentionalphaear-reporter/scripts/utils/content_extractor.py:14High confidence
Contacts dashscope.aliyuncs.com, which SKILL.md, the README and the plugin manifest do not mentionalphaear-reporter/scripts/utils/llm/factory.py:41High confidence
Contacts api.z.ai, which SKILL.md, the README and the plugin manifest do not mentionalphaear-reporter/scripts/utils/llm/factory.py:75High confidence
Contacts newsnow.busiyi.world, which SKILL.md, the README and the plugin manifest do not mentionalphaear-reporter/scripts/utils/news_tools.py:14High confidence
Contacts gamma-api.polymarket.com, which SKILL.md, the README and the plugin manifest do not mentionalphaear-reporter/scripts/utils/news_tools.py:165High confidence
Contacts arxiv.org, which SKILL.md, the README and the plugin manifest do not mentionalphaear-reporter/scripts/utils/predictor/model/module.py:80High confidence
Contacts s.jina.ai, which SKILL.md, the README and the plugin manifest do not mentionalphaear-reporter/scripts/utils/search_tools.py:26High confidence
Contacts viewer.diagrams.net, which SKILL.md, the README and the plugin manifest do not mentionalphaear-reporter/scripts/visualizer.py:445High confidence
Contacts r.jina.ai, which SKILL.md, the README and the plugin manifest do not mentionalphaear-search/scripts/content_extractor.py:14High confidence
Contacts dashscope.aliyuncs.com, which SKILL.md, the README and the plugin manifest do not mentionalphaear-search/scripts/llm/factory.py:41High confidence
Contacts api.z.ai, which SKILL.md, the README and the plugin manifest do not mentionalphaear-search/scripts/llm/factory.py:75High confidence
Contacts s.jina.ai, which SKILL.md, the README and the plugin manifest do not mentionalphaear-search/scripts/search_tools.py:23High confidence
Contacts dashscope.aliyuncs.com, which SKILL.md, the README and the plugin manifest do not mentionalphaear-sentiment/scripts/llm/factory.py:41High confidence
Contacts api.z.ai, which SKILL.md, the README and the plugin manifest do not mentionalphaear-sentiment/scripts/llm/factory.py:75High confidence
Contacts r.jina.ai, which SKILL.md, the README and the plugin manifest do not mentionalphaear-signal-tracker/scripts/utils/content_extractor.py:14High confidence
Contacts dashscope.aliyuncs.com, which SKILL.md, the README and the plugin manifest do not mentionalphaear-signal-tracker/scripts/utils/llm/factory.py:41High confidence
Contacts api.z.ai, which SKILL.md, the README and the plugin manifest do not mentionalphaear-signal-tracker/scripts/utils/llm/factory.py:75High confidence
Contacts newsnow.busiyi.world, which SKILL.md, the README and the plugin manifest do not mentionalphaear-signal-tracker/scripts/utils/news_tools.py:14High confidence
Contacts gamma-api.polymarket.com, which SKILL.md, the README and the plugin manifest do not mentionalphaear-signal-tracker/scripts/utils/news_tools.py:165High confidence
Contacts arxiv.org, which SKILL.md, the README and the plugin manifest do not mentionalphaear-signal-tracker/scripts/utils/predictor/model/module.py:80High confidence
Contacts s.jina.ai, which SKILL.md, the README and the plugin manifest do not mentionalphaear-signal-tracker/scripts/utils/search_tools.py:26High confidence
Contacts push2his.eastmoney.com, which SKILL.md, the README and the plugin manifest do not mentionalphaear-stock/scripts/stock_tools.py:21High confidence
Contacts push2.eastmoney.com, which SKILL.md, the README and the plugin manifest do not mentionalphaear-stock/scripts/stock_tools.py:22High confidence

Signal confidence: 468 facts

Network access in prose of the SKILL.mdalphaear-deepear-lite/SKILL.md:18Low confidence
Network access in prose of the SKILL.mdalphaear-deepear-lite/SKILL.md:19Low confidence
Executable script in code of a file that runsalphaear-deepear-lite/scripts/deepear_lite.py:1High confidence
Network access in prose of a file that runsalphaear-deepear-lite/scripts/deepear_lite.py:5Low confidence
Network access in prose of a file that runsalphaear-deepear-lite/scripts/deepear_lite.py:6Low confidence
Network access in code of a file that runsalphaear-deepear-lite/scripts/deepear_lite.py:9High confidence
Network access in code of a file that runsalphaear-deepear-lite/scripts/deepear_lite.py:18High confidence
Network access in code of a file that runsalphaear-deepear-lite/scripts/deepear_lite.py:19High confidence
Network access in code of a file that runsalphaear-deepear-lite/scripts/deepear_lite.py:20High confidence
Network access in code of a file that runsalphaear-deepear-lite/scripts/deepear_lite.py:21High confidence
Network access in code of a file that runsalphaear-deepear-lite/scripts/deepear_lite.py:22High confidence
Executable script in prose of a file that runsalphaear-logic-visualizer/scripts/__init__.py:1Low confidence
Executable script in code of a file that runsalphaear-logic-visualizer/scripts/visualizer.py:1High confidence
Network access in code of a file that runsalphaear-logic-visualizer/scripts/visualizer.py:443High confidence
Network access in code of a file that runsalphaear-logic-visualizer/scripts/visualizer.py:444High confidence
Network access in code of a file that runsalphaear-logic-visualizer/scripts/visualizer.py:445High confidence
Executable script in code of a file that runsalphaear-logic-visualizer/scripts/visualizer_prompt.py:1High confidence
Executable script in code of a testalphaear-logic-visualizer/tests/test_visualizer.py:1Low confidence
Network access in prose of documentationalphaear-news/references/sources.md:24Low confidence
Executable script in prose of a file that runsalphaear-news/scripts/__init__.py:1Low confidence
Executable script in code of a file that runsalphaear-news/scripts/content_extractor.py:1High confidence
Network access in code of a file that runsalphaear-news/scripts/content_extractor.py:14High confidence
Access to secrets in code of a file that runs: a variable, placeholder or call, not a stored valuealphaear-news/scripts/content_extractor.py:27Low confidence
Access to secrets in code of a file that runsalphaear-news/scripts/content_extractor.py:29High confidence
Access to secrets in a comment of a file that runsalphaear-news/scripts/content_extractor.py:78Low confidence
Access to secrets in code of a file that runs: a variable, placeholder or call, not a stored valuealphaear-news/scripts/content_extractor.py:79Low confidence
Access to secrets in code of a file that runs: a variable, placeholder or call, not a stored valuealphaear-news/scripts/content_extractor.py:80Low confidence
Access to secrets in code of a file that runsalphaear-news/scripts/content_extractor.py:82High confidence
Access to secrets in code of a file that runsalphaear-news/scripts/content_extractor.py:83High confidence
Access to secrets in code of a file that runs: a variable, placeholder or call, not a stored valuealphaear-news/scripts/content_extractor.py:86Low confidence
Network access in code of a file that runsalphaear-news/scripts/content_extractor.py:90High confidence
Network access in code of a file that runsalphaear-news/scripts/content_extractor.py:91High confidence
Executable script in code of a file that runsalphaear-news/scripts/database_manager.py:1High confidence
Executable script in code of a file that runsalphaear-news/scripts/news_tools.py:1High confidence
Network access in code of a file that runsalphaear-news/scripts/news_tools.py:14High confidence
Network access in code of a file that runsalphaear-news/scripts/news_tools.py:59High confidence
Network access in code of a file that runsalphaear-news/scripts/news_tools.py:60High confidence
Network access in code of a file that runsalphaear-news/scripts/news_tools.py:61High confidence
Network access in code of a file that runsalphaear-news/scripts/news_tools.py:165High confidence
Network access in code of a file that runsalphaear-news/scripts/news_tools.py:190High confidence
Network access in code of a file that runsalphaear-news/scripts/news_tools.py:191High confidence
Executable script in code of a testalphaear-news/tests/test_news.py:1Low confidence
Executable script in prose of a file that runsalphaear-predictor/scripts/__init__.py:1Low confidence
Executable script in code of a file that runsalphaear-predictor/scripts/forecast_agent.py:1High confidence
Executable script in code of a file that runsalphaear-predictor/scripts/json_utils.py:1High confidence
Network access in prose of a file that runsalphaear-predictor/scripts/json_utils.py:8Low confidence
Network access in prose of a file that runsalphaear-predictor/scripts/json_utils.py:9Low confidence
Network access in prose of a file that runsalphaear-predictor/scripts/json_utils.py:10Low confidence
Executable script in code of a file that runsalphaear-predictor/scripts/kronos_predictor.py:1High confidence
Executable script in code of a file that runsalphaear-predictor/scripts/predictor/model/__init__.py:1High confidence

and 418 more

Only the first 500 facts are listed.

Works with

Agent compatibility, from the files in this repository
Agent	Status	Evidence	Install to
Claude Code	Compatible	Standard SKILL.md skills/alphaear-deepear-lite/SKILL.md	`.claude/skills/<skill-name>/`
Codex	Compatible	Standard SKILL.md skills/alphaear-deepear-lite/SKILL.md	`.agents/skills/<skill-name>/`
Cursor	Compatible	Standard SKILL.md skills/alphaear-deepear-lite/SKILL.md	`.cursor/skills/<skill-name>/`
Gemini CLI	Compatible	Standard SKILL.md skills/alphaear-deepear-lite/SKILL.md	`.gemini/skills/<skill-name>/`
GitHub Copilot	Compatible	Standard SKILL.md skills/alphaear-deepear-lite/SKILL.md	`.github/skills/<skill-name>/`
OpenCode	Compatible	Standard SKILL.md skills/alphaear-deepear-lite/SKILL.md	`.opencode/skills/<skill-name>/`

Native The repository ships a manifest, folder or frontmatter field for this agent.
Compatible A standard SKILL.md that this agent can read.
Unknown No evidence either way.

Derived automatically from paths, manifests and frontmatter. Not tested on each agent.

Explore alternatives and comparisons

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It updates every night and links to this page.

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RKiding/Awesome-finance-skills

History

skills/alphaear-deepear-lite/SKILL.md

skills/alphaear-logic-visualizer/SKILL.md

skills/alphaear-news/SKILL.md

skills/alphaear-predictor/SKILL.md

skills/alphaear-reporter/SKILL.md

skills/alphaear-search/SKILL.md

skills/alphaear-sentiment/SKILL.md

skills/alphaear-signal-tracker/SKILL.md

skills/alphaear-stock/SKILL.md

skills/skill-creator/SKILL.md

Share this page

Heat

Stars over time

Individual skills in this repository

How it works

alphaear-deepear-lite

Frontmatter

SKILL.md

Reference documents

The playbook

Scripts executed separately

Files

alphaear-logic-visualizer

Frontmatter

SKILL.md

Reference documents

The playbook

Scripts executed separately

Files

alphaear-news

Frontmatter

SKILL.md

Reference documents

The playbook

Scripts executed separately

Files

alphaear-predictor

Frontmatter

SKILL.md

Reference documents

The playbook

Scripts executed separately

Files

alphaear-reporter

Frontmatter

SKILL.md

Reference documents

The playbook

Scripts executed separately

Files

alphaear-search

Frontmatter

SKILL.md

Reference documents

The playbook

Scripts executed separately

Files

alphaear-sentiment

Frontmatter

SKILL.md

Reference documents

The playbook

Scripts executed separately

Files

alphaear-signal-tracker

Frontmatter

SKILL.md

Reference documents

The playbook

Scripts executed separately

Files

alphaear-stock

Frontmatter

SKILL.md

Reference documents

The playbook

Scripts executed separately

Files

`skills/alphaear-deepear-lite/SKILL.md`

`skills/alphaear-logic-visualizer/SKILL.md`

`skills/alphaear-news/SKILL.md`

`skills/alphaear-predictor/SKILL.md`

`skills/alphaear-reporter/SKILL.md`

`skills/alphaear-search/SKILL.md`

`skills/alphaear-sentiment/SKILL.md`

`skills/alphaear-signal-tracker/SKILL.md`

`skills/alphaear-stock/SKILL.md`

`skills/skill-creator/SKILL.md`

`skills/alphaear-deepear-lite/SKILL.md`

`skills/alphaear-deepear-lite/scripts/deepear_lite.py`

`skills/alphaear-logic-visualizer/scripts/init.py`

`skills/alphaear-logic-visualizer/scripts/visualizer.py`

`skills/alphaear-logic-visualizer/scripts/visualizer_prompt.py`

`skills/alphaear-logic-visualizer/tests/test_visualizer.py`

`skills/alphaear-news/references/sources.md`

`skills/alphaear-news/scripts/init.py`

`skills/alphaear-news/scripts/content_extractor.py`

`skills/alphaear-news/scripts/database_manager.py`

`skills/alphaear-news/scripts/news_tools.py`

`skills/alphaear-news/tests/test_news.py`

`skills/alphaear-predictor/scripts/init.py`

`skills/alphaear-predictor/scripts/forecast_agent.py`

`skills/alphaear-predictor/scripts/json_utils.py`

`skills/alphaear-predictor/scripts/kronos_predictor.py`

`skills/alphaear-predictor/scripts/predictor/model/init.py`

`skills/alphaear-predictor/scripts/predictor/model/kronos.py`

`skills/alphaear-predictor/scripts/predictor/model/module.py`

`skills/alphaear-predictor/scripts/prompts/fin_agent.py`

`skills/alphaear-predictor/scripts/prompts/forecast_analyst.py`

`skills/alphaear-predictor/scripts/prompts/intent_agent.py`

`skills/alphaear-predictor/scripts/prompts/isq_prompt_generator.py`

`skills/alphaear-predictor/scripts/prompts/report_agent.py`

`skills/alphaear-predictor/scripts/prompts/trend_agent.py`

`skills/alphaear-predictor/scripts/prompts/visualizer.py`

`skills/alphaear-predictor/scripts/schema/isq_template.py`

`skills/alphaear-predictor/scripts/schema/models.py`

`skills/alphaear-predictor/scripts/utils/init.py`

`skills/alphaear-predictor/scripts/utils/database_manager.py`

`skills/alphaear-predictor/scripts/utils/json_utils.py`

`skills/alphaear-predictor/scripts/utils/llm/capability.py`

`skills/alphaear-predictor/scripts/utils/llm/factory.py`

`skills/alphaear-predictor/scripts/utils/llm/router.py`

`skills/alphaear-predictor/scripts/utils/logging_setup.py`

`skills/alphaear-predictor/scripts/utils/predictor/evaluation.py`

`skills/alphaear-predictor/scripts/utils/predictor/kline_generate.py`

`skills/alphaear-predictor/scripts/utils/predictor/model/init.py`

`skills/alphaear-predictor/scripts/utils/predictor/model/kronos.py`

`skills/alphaear-predictor/scripts/utils/predictor/model/module.py`

`skills/alphaear-predictor/scripts/utils/predictor/training.py`

`skills/alphaear-predictor/scripts/utils/search_tools.py`

`skills/alphaear-predictor/scripts/utils/stock_tools.py`

`skills/alphaear-predictor/tests/test_predictor.py`

`skills/alphaear-reporter/scripts/init.py`

`skills/alphaear-reporter/scripts/prompts/fin_agent.py`

`skills/alphaear-reporter/scripts/prompts/forecast_analyst.py`

`skills/alphaear-reporter/scripts/prompts/intent_agent.py`

`skills/alphaear-reporter/scripts/prompts/isq_prompt_generator.py`

`skills/alphaear-reporter/scripts/prompts/report_agent.py`

`skills/alphaear-reporter/scripts/prompts/trend_agent.py`

`skills/alphaear-reporter/scripts/prompts/visualizer.py`

`skills/alphaear-reporter/scripts/report_agent.py`

`skills/alphaear-reporter/scripts/schema/isq_template.py`

`skills/alphaear-reporter/scripts/schema/models.py`

`skills/alphaear-reporter/scripts/tools/init.py`

`skills/alphaear-reporter/scripts/tools/toolkits.py`

`skills/alphaear-reporter/scripts/utils/init.py`

`skills/alphaear-reporter/scripts/utils/content_extractor.py`