Alphaear ReporterCAUTION

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

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: alphaear-reporter
description: Plan, write, and edit professional financial reports; generate finance chart configurations. Use when condensing finance analysis into a structured output.
---

# 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.

**Workflow:**
1.  **Cluster Signals**: Read input signals and use the **Cluster Signals Prompt** to group them.
2.  **Write Sections**: For each cluster, use the **Write Section Prompt** to generate analysis.
3.  **Assemble**: Use the **Final Assembly Prompt** to compile the report.

### 2. Visualization Tools

Use `scripts/visualizer.py` to generate chart configurations if needed manually, though the Writer Prompt usually handles this via `json-chart` blocks.

## Dependencies

-   `sqlite3` (built-in)

CAUTIONgrade B · trust 89/100 Install with care. The audit found things worth knowing before you trust its output.

What the source does

Filesystem

none-observed

Network

UNDECLARED (4 observation(s))

Shell

none-observed

Dependencies

pinned

Secrets in source

none-found

Findings (9)

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

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

response = requests.get(

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

digest = hashlib.sha1(basis.encode("utf-8")).hexdigest()[:8]

return hashlib.md5(f"{engine}:{query}:{max_results}".encode()).hexdigest()

You are a senior financial report editor. Your task is to cluster the following scattered financial signals into 3-5 core logical themes for a structured report.

You are a senior financial analyst. Write a deep analysis section for the core theme **"{theme_title}"**.

network use found in code, not declared in the description

Gates applied: no_behavioural_pass.

[![ModelsAtlas audit: Alphaear Reporter](https://modelsatlas.com/skills/rkiding/alphaear-reporter/badge.svg)](https://modelsatlas.com/skills/rkiding/alphaear-reporter/)

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