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Earnings Call Processor

作者 terrycarter1985 · GitHub ↗ · v1.1.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install earnings-call-processor
功能描述
Automated earnings call processing workflow. Transcribes earnings call audio, fetches related stock/financial data, generates structured analysis, and publis...
使用说明 (SKILL.md)

Earnings Call Processor

Automated workflow: audio → transcript → financial data → structured analysis → Feishu draft.

Workflow

  1. Transcribe audio — Use Whisper (or available transcription tool) to convert earnings call audio to text.
  2. Fetch financial data — Use the finance skill tools (yfinance) to pull stock price, company info, and historical data for the target ticker.
  3. Generate structured analysis — Combine transcript + financial data into a structured report. See references/analysis-template.md for the output structure.
  4. Publish to Feishu — Use the feishu-doc skill to create a Feishu document draft with the analysis content.

Step-by-Step

1. Transcribe Audio

# If whisper is available
whisper \x3Caudio_file> --model turbo --language en --output_format txt --output_dir /tmp/whisper_out

# Otherwise, use any available transcription approach

If no audio file is provided, ask the user for the audio path or URL.

2. Fetch Financial Data

Use the finance skill's yfinance tools:

  • yfinance_get_stock_price(symbol) — current price
  • yfinance_get_stock_info(symbol) — company info, market cap, PE, etc.
  • yfinance_get_historical_data(symbol, period="3mo") — recent price trend

3. Generate Structured Analysis

Read the transcript and financial data, then produce a structured analysis following the template in references/analysis-template.md.

Key sections:

  • Executive Summary — 3-5 sentence overview
  • Financial Highlights — revenue, EPS, guidance vs expectations
  • Key Themes & Management Commentary — strategic priorities, risks, opportunities
  • Q&A Highlights — notable analyst questions and management responses
  • Stock Price Context — recent price action and valuation metrics
  • Outlook & Takeaways — forward-looking assessment

4. Publish to Feishu

Use the feishu-doc skill:

python3 \x3Cfeishu-doc-path>/scripts/doc_ctl.py create "财报电话会分析: {COMPANY} {QUARTER}" --content "\x3Cstructured markdown>"

Return the Feishu document URL to the user.

Configuration

No special configuration required. Relies on:

  • finance skill (for financial data)
  • feishu-doc skill (for document publishing)
  • Whisper or equivalent transcription tool (for audio)
安全使用建议
This skill appears safe for its stated purpose. Before installing or using it, make sure the related finance and Feishu document skills are trusted, confirm which Feishu workspace will receive the draft, and review the generated document for confidential transcript content before sharing it.
功能分析
Type: OpenClaw Skill Name: earnings-call-processor Version: 1.1.0 The earnings-call-processor skill bundle is a legitimate automation tool for transcribing audio and generating financial reports. The Python script `scripts/assemble_analysis.py` uses standard libraries like `yfinance` and `pathlib` to process data without any signs of malicious intent, obfuscation, or unauthorized data exfiltration. The workflow described in `SKILL.md` is consistent with the stated purpose and does not contain any suspicious instructions or prompt injection attempts.
能力评估
Purpose & Capability
The described capabilities—transcription, financial data lookup, structured analysis, and Feishu draft creation—match the earnings-call processing purpose.
Instruction Scope
The workflow instructs the agent to use Whisper, finance/yfinance tooling, and the feishu-doc skill; these are disclosed and purpose-aligned, but users should understand the chained tools involved.
Install Mechanism
There is no install spec, while the skill relies on external tools/skills such as Whisper, finance, feishu-doc, and yfinance. This is not suspicious by itself, but those components are outside this artifact review.
Credentials
The included script reads a user-specified transcript file, fetches public stock data through yfinance if available, and optionally writes a user-specified output file; this is proportionate to the stated purpose.
Persistence & Privilege
Publishing to Feishu creates a cloud document using whatever account and permissions the separate feishu-doc skill has configured; this is disclosed as part of the workflow but should be reviewed by the user.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install earnings-call-processor
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /earnings-call-processor 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.1.0
v1.1.0: Automated earnings call workflow - audio transcription, financial data fetch, structured analysis, Feishu draft publishing
元数据
Slug earnings-call-processor
版本 1.1.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Earnings Call Processor 是什么?

Automated earnings call processing workflow. Transcribes earnings call audio, fetches related stock/financial data, generates structured analysis, and publis... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 37 次。

如何安装 Earnings Call Processor?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install earnings-call-processor」即可一键安装,无需额外配置。

Earnings Call Processor 是免费的吗?

是的,Earnings Call Processor 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Earnings Call Processor 支持哪些平台?

Earnings Call Processor 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Earnings Call Processor?

由 terrycarter1985(@terrycarter1985)开发并维护,当前版本 v1.1.0。

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