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Agent Skill · 研究检索

earnings-analyst-questions(收益分析师问题)

earnings-analyst-questions 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

earnings-analyst-questions 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 38,548。

总安装 1,544周安装 65GitHub Stars 37下载 541核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:earnings-analyst-questions(收益分析师问题)
来源仓库:https://github.com/octagonai/skills
仓库路径:skills/earnings-analyst-questions
安装命令:
npx skills add https://github.com/octagonai/skills --skill earnings-analyst-questions
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/octagonai/skills --skill earnings-analyst-questions

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于分析师在财报会上的提问主题归类。识别关键关切点并按类别标注发言人。支持特定议题的深度追问建议生成。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。依赖 Octagon MCP 提供的原始问答数据源。

earnings-analyst-questions 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/earnings-analyst-questions

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/octagonai/skills --skill earnings-analyst-ques…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

earnings-analyst-questions 怎么安装?

在终端执行 npx skills add https://github.com/octagonai/skills --skill earnings-analyst-questions。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

earnings-analyst-questions 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

earnings-analyst-questions 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

earnings-analyst-questions 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

earnings-analyst-questions 用的人多吗?

公开数据是累计安装 1,544 次,近一周安装 65 次,下载 541 次,GitHub 37 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

earnings-analyst-questions 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
earnings-analyst-questions

收益分析师问题 · 本页

1,54437调用外部服务未明确未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Earnings Analyst Questions

Identify and analyze the key themes, concerns, and questions raised by analysts during earnings calls, with specific analyst attribution and topic categorization.

Prerequisites

Ensure Octagon MCP is configured. See references/mcp-setup.md for installation instructions.

Workflow

Step 1: Extract Analyst Questions

Use the Octagon MCP to identify analyst questions and concerns:

Identify key themes and concerns raised by analysts during <TICKER>'s latest earnings call.

Step 2: Targeted Question Analysis

Focus on specific aspects of analyst questions:

# All Analyst Concerns
What concerns did analysts raise in <TICKER>'s latest earnings call?

# Specific Topic
What questions did analysts ask about AI in <TICKER>'s earnings call?

# Analyst Coverage
Which analysts participated in <TICKER>'s earnings call Q&A?

# Most Frequent Topics
What were the most frequently asked topics in <TICKER>'s earnings call?

# Unanswered Questions
Were there questions that management avoided or didn't fully answer in <TICKER>'s call?

Expected Output

The skill returns structured analyst question analysis including:

ComponentDescription
Key ThemesMajor topics raised by analysts
Analyst AttributionWhich analyst asked which question
Concern CategoriesGrouped by topic area
Management ResponseHow questions were addressed
Follow-up QuestionsAI-generated questions for deeper research
Source CitationsTranscript page references

Example Query

Identify key themes and concerns raised by analysts during TSLA's latest earnings call.

Example Response

Analysts highlighted several critical topics during Tesla's latest earnings call, as documented in the TSLA_Q22025 transcript:

Key Analyst Questions

  • Robotaxi Business Funding – Analysts questioned how Tesla plans to finance the costs of scaling its robotaxi initiative, specifically whether it will rely on auto business cash flows or alternative funding sources [Dan Meir Levy]
  • Full Self-Driving (FSD) Revenue Potential – Interest focused on trends and monetization strategies for FSD subscriptions [Mark Trevor Delaney]
  • Megapack Sales Impact – The elimination of tax credits for solar projects raised concerns about its effect on Tesla's Megapack sales pipeline
  • Incentive Loss and Autonomy Challenges – Analysts warned of potential rough quarters due to the loss of U.S. incentives and the early-stage risks of autonomy development [Elon Musk]
  • Lower-Cost Model Details – Requests for more information on production timelines and cost-saving strategies for Tesla's upcoming lower-cost vehicle [Lars Moravy]

Follow-up Questions

  • What specific funding mechanisms has Tesla outlined for the robotaxi business?
  • How does Tesla plan to mitigate risks from the loss of U.S. tax incentives?
  • What are the projected timelines for the lower-cost model's production launch?

Source: TSLA_Q22025, Page: 5

Analyst Question Categories

Financial Topics

CategoryExample Questions
RevenueSegment growth, pricing, demand
MarginsCost structure, pricing power
GuidanceOutlook clarification, assumptions
CapitalAllocation, returns, leverage

Strategic Topics

CategoryExample Questions
Growth InitiativesNew products, markets, investments
CompetitiveMarket share, differentiation
M&ADeal pipeline, integration
TechnologyR&D, innovation, roadmap

Operational Topics

CategoryExample Questions
ExecutionProduction, capacity, efficiency
Supply ChainSourcing, costs, risks
WorkforceHiring, retention, costs
GeographicRegional performance, expansion

Risk Topics

CategoryExample Questions
RegulatoryPolicy changes, compliance
MacroEconomic sensitivity, cycles
CompetitiveMarket threats, disruption
ExecutionDelivery, timeline risks

Analyst Attribution

Understanding Analyst Context

Analyst TypeTypical Focus
Sell-side (Bulge Bracket)Broad coverage, key themes
Sell-side (Boutique)Sector expertise, detailed
Buy-sideSpecific thesis questions
IndependentAlternative perspectives

Notable Analyst Patterns

PatternInterpretation
Same analyst, same topicPersistent concern
Multiple analysts, same topicWidespread concern
New topic raisedEmerging issue
Detailed follow-upDissatisfied with response

Question Intensity Analysis

Measuring Topic Importance

MetricInterpretation
Number of questionsTopic priority
Number of follow-upsIncomplete answers
Analyst seniorityCredibility weight
Time spentManagement engagement

Heat Map Framework

TopicQuestionsFollow-upsIntensity
FSD Revenue32High
Margins21Medium
CapEx10Low

Concern Classification

Severity Assessment

SeverityIndicators
CriticalMultiple analysts, pushback, unresolved
HighSeveral questions, detailed probing
MediumStandard questions, adequate response
LowSingle mention, brief discussion

Resolution Status

StatusDescription
ResolvedClear, specific answer provided
Partially ResolvedSome detail, gaps remain
DeflectedRedirected, not directly answered
UnresolvedAvoided, promised future update

Tracking Questions Over Time

Quarter-over-Quarter Analysis

TopicQ1Q2Q3Q4Trend
FSD1234Rising
Margins3221Declining
China2322Stable

New vs. Recurring Topics

TypeWhat It Means
New topicEmerging concern or opportunity
Recurring topicPersistent issue
Dropped topicResolved or no longer relevant
IntensifyingGrowing importance

Use Cases

  1. Sentiment Analysis: Gauge Street concerns and focus areas
  2. Risk Discovery: Identify issues analysts are probing
  3. Thesis Validation: Check if your concerns are shared
  4. Peer Comparison: Compare question themes across competitors
  5. Management Assessment: Evaluate response quality
  6. Pre-Earnings Prep: Anticipate likely questions

Combining with Other Skills

SkillCombined Analysis
earnings-qa-analysisQuestions + management responses
earnings-call-analysisFull context + analyst focus
price-target-consensusAnalyst concerns vs. targets
stock-gradesQuestions aligned with ratings
stock-price-changeQuestion impact on price

Analysis Tips

  1. Track Analyst Names: Note who asks what repeatedly
  2. Count Question Frequency: More questions = higher priority
  3. Watch for Pushback: Analysts pressing = important issue
  4. Note Unanswered Questions: What's management avoiding?
  5. Compare to Peers: Are same questions asked of competitors?
  6. Pre-Earnings Prediction: Anticipate topics based on history

Interpreting Results

See references/interpreting-results.md for detailed guidance on analyzing analyst questions.

平台分布

Codex

39.22%
按下载量换算212

Claude

27.7%
按下载量换算150

Cursor

17.86%
按下载量换算97

Gemini CLI

8.85%
按下载量换算48

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

可疑

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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