MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Retrieve ESG ratings and scores using Octagon MCP. An agent skill from OctagonAI/skills.
MITAuto-check passed
Install Esg Ratings
$ npx skills add OctagonAI/skills --skill esg-ratings -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install OctagonAI/skills esg-ratings --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/OctagonAI/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/esg-ratings .claude/skills/esg-ratings && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "esg-ratings" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/esg-ratings into .claude/skills/esg-ratings/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "esg-ratings", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/OctagonAI/skills/tree/main/skills/esg-ratingsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add OctagonAI/skills --skill esg-ratings -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install OctagonAI/skills esg-ratings --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OctagonAI/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/esg-ratings .agents/skills/esg-ratings && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "esg-ratings" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/esg-ratings into .agents/skills/esg-ratings/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "esg-ratings", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add OctagonAI/skills --skill esg-ratings -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install OctagonAI/skills esg-ratings --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OctagonAI/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/esg-ratings .cursor/skills/esg-ratings && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "esg-ratings" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/esg-ratings into .cursor/skills/esg-ratings/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "esg-ratings", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/OctagonAI/skills.git --path skills/esg-ratings--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add OctagonAI/skills --skill esg-ratings -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install OctagonAI/skills esg-ratings --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OctagonAI/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/esg-ratings .gemini/skills/esg-ratings && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "esg-ratings" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/esg-ratings into .gemini/skills/esg-ratings/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "esg-ratings", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install OctagonAI/skills esg-ratingsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add OctagonAI/skills --skill esg-ratings -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/OctagonAI/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/esg-ratings .github/skills/esg-ratings && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "esg-ratings" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/esg-ratings into .github/skills/esg-ratings/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "esg-ratings", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add OctagonAI/skills --skill esg-ratings -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install OctagonAI/skills esg-ratings --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OctagonAI/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/esg-ratings .opencode/skills/esg-ratings && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "esg-ratings" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/esg-ratings into .opencode/skills/esg-ratings/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "esg-ratings", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
esg-ratings- GitHub stars
- 127
- Token cost
- ~1.1k tokens
- SKILL.md length
- 410 words
- Files
- 5 (incl. references)
- Skills in repo
- 53
- Repo updated
- First seen
- Licence
- MIT
At a glance
Retrieve ESG ratings and scores using Octagon MCP. An agent skill from OctagonAI/skills.
- Works in 4 steps: Identify Analysis Parameters → Execute Query via Octagon MCP → Expected Output → …
- Analyzing Environmental
- SKILL.md covers Prerequisites, Workflow, Example Queries and Key Metrics Explained, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Esg Ratings is an agent skill from OctagonAI/skills. Retrieve ESG ratings and scores using Octagon MCP. Use when analyzing Environmental, Social, and Governance ratings, MSCI ESG ratings, Sustainalytics risk ratings, industry ESG rankings, and sustainability metrics for any public company.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `README.md`, `marketplace.json` and `references/interpreting-results.md`).
It works with Model Context Protocol. The repository describes itself as: A collection of Claude skills for agentic financial research by Octagon. The licence is MIT.
When your agent uses it
- Analyzing Environmental
- Governance ratings
- MSCI ESG ratings
- Sustainalytics risk ratings
Example prompts
- “/esg-ratings”
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 51e938c. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are json).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Esg Ratings loads about 1.1k tokens when it runs, and up to ~3.5k if it reads all its reference files. Until then it costs about 62 tokens; SKILL.md has 410 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from OctagonAI/skills at commit 51e938c, republished under its MIT licence (© OctagonAI). 410 words, ~1,122 tokens.
Download SKILL.mdSave it as
.claude/skills/esg-ratings/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- esg-ratings
- description
- Retrieve ESG ratings and scores using Octagon MCP. Use when analyzing Environmental, Social, and Governance ratings, MSCI ESG ratings, Sustainalytics risk ratings, industry ESG rankings, and sustainability metrics for any public company.
ESG Ratings
Retrieve and analyze Environmental, Social, and Governance (ESG) ratings and scores for public companies 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:
- Ticker: Stock symbol (e.g., MSFT, AAPL, TSLA)
- Specific metrics (optional): ESG score, environmental score, social score, governance score, industry rank
2. Execute Query via Octagon MCP
Use the octagon-agent tool with a natural language prompt:
Retrieve ESG ratings and scores, including risk rating and industry rank, for <TICKER>.MCP Call Format:
{
"server": "octagon-mcp",
"toolName": "octagon-agent",
"arguments": {
"prompt": "Retrieve ESG ratings and scores, including risk rating and industry rank, for MSFT."
}
}3. Expected Output
The agent returns comprehensive ESG data including:
Key ESG Metrics:
- MSCI ESG Rating (AAA to CCC scale)
- Sustainalytics ESG Risk Rating
- Composite ESG Score
- Environmental Score
- Social Score
- Governance Score
- S&P Global ESG Score
- Industry rank and categorization
Example Response:
| Metric | Value |
|---|---|
| MSCI ESG Rating | AAA |
| ESG Score | 65.19 |
| Environmental | 74.57 |
| Social | 58.08 |
| Governance | 62.93 |
| Industry | Enterprise and Infrastructure Software |
Data Sources: octagon-companies-agent, octagon-financials-agent, octagon-web-search-agent
4. Interpret Results
See references/interpreting-results.md for guidance on:
- Understanding MSCI rating scale
- Interpreting Sustainalytics risk ratings
- Comparing E, S, and G component scores
- Industry ranking context
Example Queries
Standard ESG Analysis:
Retrieve ESG ratings and scores, including risk rating and industry rank, for MSFT.Environmental Focus:
Retrieve ESG ratings with focus on environmental scores and carbon emissions for AAPL.Comparative Analysis:
Retrieve ESG ratings and scores for TSLA and compare to automotive industry peers.Governance Deep Dive:
Retrieve ESG ratings with detailed governance scores and board diversity metrics for JPM.Key Metrics Explained
| Metric | Definition | Scale |
|---|---|---|
| MSCI ESG Rating | Overall ESG assessment by MSCI | AAA (best) to CCC (worst) |
| Sustainalytics Risk Rating | Unmanaged ESG risk level | 0-100 (lower = less risk) |
| ESG Score | Composite sustainability score | 0-100 (higher = better) |
| Environmental Score | Climate, pollution, resource use | 0-100 |
| Social Score | Labor, community, human rights | 0-100 |
| Governance Score | Board, ethics, transparency | 0-100 |
| Industry Rank | Position vs sector peers | Percentile or rank |
Show full SKILL.md (148 more words)Show less
MSCI Rating Scale
| Rating | Category | Meaning |
|---|---|---|
| AAA, AA | Leader | Best-in-class ESG performance |
| A, BBB, BB | Average | Mixed or average ESG performance |
| B, CCC | Laggard | Below-average ESG, higher risk |
Analysis Tips
Component imbalance: A company may score high on Environmental but low on Governance—assess each dimension.
Industry context: ESG scores vary significantly by sector. Compare to industry peers, not cross-sector.
Trend over time: Request historical ESG data to see if ratings are improving or declining.
Materiality: Different ESG factors matter more in different industries (e.g., Environmental for energy, Social for retail).
Multiple sources: MSCI, Sustainalytics, and S&P may give different ratings—consider the consensus view.
Use Cases
- ESG screening: Filter investments based on minimum ESG thresholds
- Risk assessment: Identify companies with high unmanaged ESG risks
- Portfolio alignment: Ensure holdings meet sustainability mandates
- Engagement targeting: Identify areas for shareholder engagement
- Regulatory compliance: Meet ESG disclosure requirements
© OctagonAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 4 other files (references) in skills/esg-ratings of OctagonAI/skills.
- SKILL.md
- README.md
- marketplace.json
- references/interpreting-results.md
- references/mcp-setup.md
Open the folder on GitHubat commit 51e938c
Compare with similar skills
Esg Ratings next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Esg Ratings this skillOctagonAI/skills | 127 | — | ~1.1k | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server BuildershareAI-lab/learn-claude-code | 78k | 4 repos | ~1.2k | Automated safety check: Pass | MIT | |
| MCP Integration for Pluginsanthropics/claude-plugins-official | 38k | 11 repos | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| MCP Developmentcoollabsio/coolify | 63k | 1 repos | ~949 | Automated safety check: Pass | MIT | |
| Analyze Logsactivepieces/activepieces | 25k | 1 repos | ~1.6k | Automated safety check: Pass | MIT |
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Questions about Esg Ratings
What does Esg Ratings do?
Retrieve ESG ratings and scores using Octagon MCP. An agent skill from OctagonAI/skills. Esg Ratings is an agent skill from OctagonAI/skills. Retrieve ESG ratings and scores using Octagon MCP.
When should I use Esg Ratings?
Esg Ratings fits situations like: analyzing Environmental; governance ratings; MSCI ESG ratings; sustainalytics risk ratings.
How do I install Esg Ratings in Claude Code?
Run `npx skills add OctagonAI/skills --skill esg-ratings -a claude-code`. Or copy the skill folder (skills/esg-ratings in OctagonAI/skills) into .claude/skills/esg-ratings in your project. Claude Code loads it when a task matches its description.
How do I install Esg Ratings in Codex?
Run `npx skills add OctagonAI/skills --skill esg-ratings -a codex`. Or copy the skill folder (skills/esg-ratings in OctagonAI/skills) into .agents/skills/esg-ratings in your project. Codex loads it when a task matches its description.
Can I use Esg Ratings in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add OctagonAI/skills --skill esg-ratings -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/esg-ratings, .gemini/skills/esg-ratings, .github/skills/esg-ratings and .opencode/skills/esg-ratings in your project.
What does Esg Ratings need to run?
SKILL.md names no scripts, command-line tools or credentials: Esg Ratings is instructions for the agent only.
Does Esg Ratings access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Esg Ratings safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Esg Ratings use?
Esg Ratings is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Esg Ratings use?
About 1.1k tokens (SKILL.md is roughly 4.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.4k tokens, read only when the agent opens those files.
What are the alternatives to Esg Ratings?
Skills that share tags, products or a category with Esg Ratings: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and MCP Development (coollabsio/coolify, 63k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Esg Ratings?
OctagonAI (a GitHub organization) maintains it in OctagonAI/skills, which has 127 GitHub stars. The repository holds 53 skills in this directory. The repository was last updated on June 5, 2026.
Source: OctagonAI/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.