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analyst-estimates分析师估计

Agent Skill

analyst-estimates 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

总安装

1,673

周安装

69

GitHub Stars

37

下载量

546
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:analyst-estimates(分析师估计)
来源仓库:https://github.com/octagonai/skills
仓库路径:skills/analyst-estimates
安装命令:
npx skills add https://github.com/octagonai/skills --skill analyst-estimates
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 analyst-estimates

简介

analyst-estimates 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理。
  • 通过 npx skills add 命令从指定仓库安装,需确认权限范围和操作风险。
  • 建议结合原始 README 核验具体用法,避免触发未预期的联网或文件读写。
  • 使用前应检查维护状态,确保技能与当前宿主环境兼容。

SKILL.md

Analyst Estimates

Retrieve analyst financial estimates for public companies using Octagon MCP.

Prerequisites

Ensure Octagon MCP is configured in your AI agent (Cursor, Claude Desktop, Windsurf, etc.). See references/mcp-setup.md for installation instructions.

Query Format

Retrieve analyst financial estimates for <TICKER> for the annual period, limited to <N> records on page 0.

MCP Call:

{
  "server": "octagon-mcp",
  "toolName": "octagon-agent",
  "arguments": {
    "prompt": "Retrieve analyst financial estimates for AAPL for the annual period, limited to 10 records on page 0"
  }
}

Output Format

The agent returns a table with analyst estimates across future periods:

Fiscal Year EndingRevenue Estimate (Low to High)Revenue AvgEPS Estimate (Low to High)EPS Avg# Revenue Analysts# EPS Analysts
2030-09-27$540.64B - $600.88B$566.24B$12.01 - $13.78$12.7796
2029-09-27$520.95B - $578.99B$545.62B$10.62 - $12.17$11.28136
2028-09-27$515.19B - $520.48B$517.84B$8.96 - $11.18$10.201815
2027-09-27$474.27B - $531.94B$490.97B$8.41 - $9.77$9.233130
2026-09-27$445.03B - $483.54B$460.35B$7.84 - $8.92$8.422429

Data Source: octagon-financials-agent

Key Observations Pattern

After receiving data, generate observations:

  1. Growth trajectory: Calculate implied revenue and EPS CAGR
  2. Estimate dispersion: Analyze spread between low and high estimates
  3. Analyst coverage: Note number of analysts covering each period
  4. Near vs far-term: Compare confidence in near-term vs long-term estimates
  5. Historical comparison: Compare estimates to actual historical performance

Metrics Reference

MetricDefinition
Revenue Estimate (Low to High)Range of analyst revenue projections
Revenue AvgConsensus average revenue estimate
EPS Estimate (Low to High)Range of analyst EPS projections
EPS AvgConsensus average EPS estimate
# Revenue AnalystsNumber of analysts providing revenue estimates
# EPS AnalystsNumber of analysts providing EPS estimates

Analysis Tips

Implied Growth Rate

Implied CAGR = (Future Estimate / Current)^(1/Years) - 1

Example: ($566B / $416B)^(1/5) - 1 = 6.4% revenue CAGR

Estimate Dispersion

Dispersion = (High - Low) / Average × 100
  • Narrow dispersion (<10%) = High consensus
  • Wide dispersion (>20%) = Significant uncertainty

Analyst Coverage Quality

  • More analysts = more reliable consensus
  • Declining coverage = less institutional interest
  • <5 analysts = thin coverage, use caution

Forward P/E Calculation

Forward P/E = Current Price / EPS Estimate

Use for valuation relative to growth expectations.

Estimate Revisions (with follow-up)

Track changes over time:

  • Upward revisions = positive momentum
  • Downward revisions = negative momentum
  • Frequency of revisions matters

Valuation Applications

DCF Inputs

Use estimates for:

  • Revenue projections
  • Margin assumptions (with historical data)
  • Terminal growth rate guidance

Relative Valuation

Compare:

  • Forward P/E to historical average
  • Forward P/E to peers
  • PEG ratio (P/E / Growth rate)

Earnings Surprise Potential

Compare estimates to:

  • Management guidance
  • Historical beat/miss rate
  • Recent operating trends

Confidence Assessment

High Confidence Estimates

  • Near-term (1-2 years out)
  • Many analysts covering
  • Narrow dispersion
  • Stable business model

Low Confidence Estimates

  • Long-term (5+ years out)
  • Few analysts covering
  • Wide dispersion
  • Rapidly changing industry

Follow-up Queries

Based on results, suggest deeper analysis:

  • "What factors are driving the projected revenue growth from [YEAR1] to [YEAR2]?"
  • "How do these estimates compare to [COMPANY]'s historical financial performance?"
  • "What are the key risks to achieving the upper end of these revenue estimates?"
  • "Retrieve analyst price targets and ratings for [TICKER]"

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.72%
按下载量换算195

Claude

32.85%
按下载量换算179

Cursor

19.32%
按下载量换算105

Gemini CLI

8.69%
按下载量换算47

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

可疑

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/octagonai/skills --skill analyst-estimates 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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