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esg-benchmark-comparisonESG 基准比较

Agent Skill

esg-benchmark-comparison 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。

总安装

1,542

周安装

63

GitHub Stars

37

下载量

499
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:esg-benchmark-comparison(ESG 基准比较)
来源仓库:https://github.com/octagonai/skills
仓库路径:skills/esg-benchmark-comparison
安装命令:
npx skills add https://github.com/octagonai/skills --skill esg-benchmark-comparison
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 esg-benchmark-comparison

简介

esg-benchmark-comparison 用于获取和分析各行业 ESG 基准对比数据,适合在投资研究与可持续发展分析中使用。

  • 适用于多行业 ESG 表现横向比较,支持绿色投资决策与绩效评估。
  • 支持按财政年度、行业和框架(如 MSCI、S&P Global)筛选数据。
  • 安装命令:npx skills add https://github.com/octagonai/skills --skill esg-benchmark-comparison。
  • 需先配置 Octagon MCP 服务器,使用前请确认权限与数据来源合规性。

SKILL.md

ESG Benchmark Comparison

Retrieve and analyze ESG benchmark comparison metrics across sectors and industries using the Octagon MCP server.

Prerequisites

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

Workflow

1. Identify Analysis Parameters

Determine the following before querying:

  • Fiscal Year: Target year for benchmark data (e.g., 2024, 2023)
  • Sector (optional): Specific sector to focus on (e.g., Technology, Energy, Healthcare)
  • Framework (optional): ESG framework reference (MSCI, S&P Global, CDP, CSRD)

2. Execute Query via Octagon MCP

Use the octagon-agent tool with a natural language prompt:

Retrieve ESG benchmark comparison metrics by sector for the fiscal year <YEAR>.

MCP Call Format:

{
  "server": "octagon-mcp",
  "toolName": "octagon-agent",
  "arguments": {
    "prompt": "Retrieve ESG benchmark comparison metrics by sector for the fiscal year 2024."
  }
}

3. Expected Output

The agent returns sector-level ESG benchmark data including:

Sector-Level Metrics:

  • Industry ESG averages and ranges
  • Top performers by sector
  • Benchmark sources (MSCI, S&P, CDP)
  • Regional variations (EU, US, APAC)

Example Response:

SectorAvg ESG ScoreTop QuartileBottom QuartileKey Metrics
Technology72.585+<55Carbon, Data Privacy
Energy48.365+<35Emissions, Transition
Healthcare68.280+<50Access, Governance
Financials65.878+<48Ethics, Climate Risk

Data Sources: octagon-companies-agent, octagon-web-search-agent

4. Interpret Results

See references/interpreting-results.md for guidance on:

  • Understanding sector benchmark ranges
  • Identifying industry leaders and laggards
  • Comparing against ESG frameworks
  • Regional benchmark variations

Example Queries

Standard Sector Benchmarks:

Retrieve ESG benchmark comparison metrics by sector for the fiscal year 2024.

Technology Sector Focus:

Retrieve ESG benchmark comparison metrics for the Technology sector for FY2024, including MSCI and S&P benchmarks.

Energy Transition Benchmarks:

Retrieve ESG benchmark comparison for Energy sector companies with focus on climate transition metrics for 2024.

Regional Comparison:

Retrieve ESG benchmark comparison metrics by sector for EU companies in fiscal year 2024.

Framework-Specific:

Retrieve CDP climate benchmark scores by sector for 2024.

Key Benchmark Sources

SourceCoverageFocus Areas
MSCI ESGGlobalOverall ESG, Industry Materiality
S&P GlobalGlobalESG Scores, Sustainability
CDPGlobalClimate, Water, Forests
SustainalyticsGlobalESG Risk Ratings
ISS ESGGlobalGovernance, Climate
CSRDEUComprehensive Disclosure

Sector Benchmark Ranges

Typical ESG score ranges by sector (0-100 scale):

SectorLowAverageHighKey Materiality
Technology457090Data privacy, supply chain
Financials406585Governance, climate risk
Healthcare456888Access, ethics, governance
Consumer Staples507290Supply chain, packaging
Energy254875Emissions, transition
Utilities355580Renewable mix, emissions
Industrials355882Safety, emissions
Materials305278Pollution, resources

Analysis Tips

  1. Sector context matters: A score of 60 may be excellent in Energy but average in Technology.
  2. Materiality focus: Each sector has different material ESG issues—compare on relevant metrics.
  3. Benchmark evolution: ESG benchmarks shift over time as standards tighten; use same-year comparisons.
  4. Regional differences: EU companies often score higher due to stricter disclosure requirements.
  5. Multiple frameworks: Cross-reference MSCI, S&P, and CDP for robust benchmarking.

Use Cases

  • Sector allocation: Identify ESG-leading sectors for portfolio tilts
  • Peer benchmarking: Compare company ESG vs sector average
  • Gap analysis: Identify areas where companies underperform sector benchmarks
  • Investment screening: Set sector-relative ESG thresholds
  • Regulatory compliance: Align with CSRD and other framework requirements

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

39.02%
按下载量换算195

Claude

27.97%
按下载量换算140

Cursor

18.49%
按下载量换算92

Gemini CLI

8.61%
按下载量换算43

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

可疑

权限和风险

external-service

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 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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