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.
Analyze proxy statements (DEF 14A) to extract executive compensation, governance information, and shareholder voting matters using Octagon MCP.
$ npx skills add OctagonAI/skills --skill sec-proxy-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install OctagonAI/skills sec-proxy-analysis --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/sec-proxy-analysis .claude/skills/sec-proxy-analysis && 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 "sec-proxy-analysis" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/sec-proxy-analysis into .claude/skills/sec-proxy-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sec-proxy-analysis", 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/sec-proxy-analysisType 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 sec-proxy-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install OctagonAI/skills sec-proxy-analysis --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/sec-proxy-analysis .agents/skills/sec-proxy-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "sec-proxy-analysis" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/sec-proxy-analysis into .agents/skills/sec-proxy-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sec-proxy-analysis", 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 sec-proxy-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install OctagonAI/skills sec-proxy-analysis --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/sec-proxy-analysis .cursor/skills/sec-proxy-analysis && 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 "sec-proxy-analysis" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/sec-proxy-analysis into .cursor/skills/sec-proxy-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sec-proxy-analysis", 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/sec-proxy-analysis--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 sec-proxy-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install OctagonAI/skills sec-proxy-analysis --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/sec-proxy-analysis .gemini/skills/sec-proxy-analysis && 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 "sec-proxy-analysis" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/sec-proxy-analysis into .gemini/skills/sec-proxy-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sec-proxy-analysis", 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 sec-proxy-analysisInstalls 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 sec-proxy-analysis -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/sec-proxy-analysis .github/skills/sec-proxy-analysis && 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 "sec-proxy-analysis" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/sec-proxy-analysis into .github/skills/sec-proxy-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sec-proxy-analysis", 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 sec-proxy-analysis -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 sec-proxy-analysis --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/sec-proxy-analysis .opencode/skills/sec-proxy-analysis && 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 "sec-proxy-analysis" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/sec-proxy-analysis into .opencode/skills/sec-proxy-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sec-proxy-analysis", 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.
sec-proxy-analysisAnalyze proxy statements (DEF 14A) to extract executive compensation, governance information, and shareholder voting matters using Octagon MCP.
Sec Proxy Analysis is an agent skill from OctagonAI/skills. Analyze proxy statements (DEF 14A) to extract executive compensation, governance information, and shareholder voting matters using Octagon MCP. Use when researching CEO pay, board composition, say-on-pay votes, and corporate governance practices.
Its SKILL.md is about 2.1k 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.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 51e938c. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Sec Proxy Analysis loads about 2.1k tokens when it runs, and up to ~4.7k if it reads all its reference files. Until then it costs about 66 tokens; SKILL.md has 718 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.
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.
The full file from OctagonAI/skills at commit 51e938c, republished under its MIT licence (© OctagonAI). 718 words, ~2,084 tokens.
.claude/skills/sec-proxy-analysis/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.Analyze proxy statements (DEF 14A) to extract executive compensation and governance information for public companies using the Octagon MCP server.
Ensure Octagon MCP is configured in your AI agent (Cursor, Claude Desktop, Windsurf, etc.). See references/mcp-setup.md for installation instructions.
Determine the following before querying:
Use the octagon-agent tool with a natural language prompt:
Extract executive compensation details and governance information from <TICKER>'s latest proxy statement.MCP Call Format:
{
"server": "octagon-mcp",
"toolName": "octagon-agent",
"arguments": {
"prompt": "Extract executive compensation details and governance information from TSLA's latest proxy statement."
}
}The agent returns structured proxy analysis including:
Director Compensation:
Governance Framework:
Voting Matters:
Data Sources: octagon-companies-agent, octagon-sec-agent, octagon-web-search-agent
See references/interpreting-results.md for guidance on:
Full Proxy Analysis:
Extract executive compensation details and governance information from TSLA's latest proxy statement.CEO Compensation Focus:
What is the total compensation for AAPL's CEO in the latest proxy statement?Board Composition:
Analyze the board of directors composition and independence from MSFT's latest DEF 14A.Say-on-Pay Results:
What were the say-on-pay voting results for AMZN in their latest proxy?Peer Comparison:
Compare executive compensation between GOOGL and META based on their latest proxy statements.Shareholder Proposals:
What shareholder proposals were included in JPM's latest proxy statement and how did they fare?| Component | Description |
|---|---|
| Summary Compensation Table | Total pay for Named Executive Officers (NEOs) |
| Salary | Base salary amounts |
| Bonus | Cash bonus payments |
| Stock Awards | Equity grants at grant date fair value |
| Option Awards | Stock options at grant date fair value |
| Non-Equity Incentive | Performance-based cash compensation |
| Pension Value | Change in pension/deferred compensation |
| All Other Compensation | Perks, 401(k) match, insurance |
| Element | Description |
|---|---|
| CEO Total Compensation | All-in CEO pay |
| Median Employee Pay | Median worker compensation |
| Pay Ratio | CEO pay / median employee pay |
| Section | Content |
|---|---|
| Philosophy | Compensation objectives and strategy |
| Pay Mix | Balance of fixed vs. variable pay |
| Performance Metrics | Goals used for incentive pay |
| Peer Group | Companies used for benchmarking |
| Decisions | Rationale for pay decisions |
| Area | Details |
|---|---|
| Board Composition | Directors, independence, diversity |
| Committees | Audit, Compensation, Nominating |
| Leadership Structure | Chair/CEO separation, lead director |
| Risk Oversight | Board role in risk management |
| Shareholder Rights | Voting standards, proxy access |
| Type | Common Topics |
|---|---|
| Governance | Board declassification, majority voting |
| Environmental | Climate disclosure, emissions targets |
| Social | Human rights, DEI reporting |
| Compensation | Pay for performance, clawbacks |
| Component | Typical Range | What to Look For |
|---|---|---|
| Base Salary | 10-20% | Stability, changes |
| Cash Bonus | 15-25% | Metrics, achievement |
| Stock Awards | 40-60% | Vesting, performance |
| Options | 5-15% | Strike price, term |
| Other | 1-5% | Perks, benefits |
| Metric | Strong Alignment | Weak Alignment |
|---|---|---|
| TSR Correlation | Pay tracks returns | Pay disconnected |
| Metric Rigor | Challenging targets | Easy thresholds |
| Vesting | Performance-based | Time-based only |
| Peer Rank | Median position | Outlier high |
| Factor | Strong Governance | Weak Governance |
|---|---|---|
| Independence | >75% independent | <50% independent |
| Diversity | Diverse backgrounds | Homogeneous |
| Tenure | Balanced mix | All long-tenured |
| Overboarding | Limited seats | Directors overcommitted |
| Attendance | >90% average | Low attendance |
| Committee | Key Oversight | Best Practices |
|---|---|---|
| Audit | Financials, controls | All independent, financial experts |
| Compensation | Executive pay | All independent, no interlocks |
| Nominating | Board composition | Independent, clear criteria |
| Risk | Enterprise risk | Defined charter, regular meetings |
| Right | Shareholder-Friendly | Concern |
|---|---|---|
| Voting Standard | Majority voting | Plurality only |
| Proxy Access | Available | Not available |
| Special Meetings | Low threshold | High/no threshold |
| Written Consent | Allowed | Prohibited |
| Dual Class | Single class | Multi-class voting |
| Support Level | Interpretation |
|---|---|
| >90% | Strong approval |
| 70-90% | Acceptable |
| 50-70% | Concerns raised |
| <50% | Failed - action required |
| Support Level | Interpretation |
|---|---|
| >95% | Strong support |
| 80-95% | Normal range |
| <80% | Significant opposition |
| <50% | Failed (if majority vote) |
| Support Level | Interpretation |
|---|---|
| >50% | Passed - expect action |
| 30-50% | Significant support |
| 20-30% | Moderate interest |
| <20% | Limited support |
Track trends: Compare compensation over 3-5 years, not just one year.
Read the CD&A: Narrative explains rationale behind numbers.
Check peer group: Ensure peers are truly comparable.
Note changes: New compensation elements or governance provisions.
Follow the votes: Declining support signals concerns.
Review related transactions: Conflicts of interest disclosed.
© OctagonAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 4 other files (references) in skills/sec-proxy-analysis of OctagonAI/skills.
Open the folder on GitHubat commit 51e938c
Sec Proxy Analysis 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 |
|---|---|---|---|---|---|---|
| Sec Proxy Analysis this skillOctagonAI/skills | 127 | — | ~2.1k | 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 | 5 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 |
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
shareAI-lab/learn-claude-code
Walks through building MCP servers in Python or TypeScript that expose tools, resources and prompts to Claude, with templates, registration and testing.
anthropics/claude-plugins-official
Explains how to bundle Model Context Protocol servers in a Claude Code plugin, covering config files, stdio, SSE, HTTP and WebSocket server types, and authentication.
coollabsio/coolify
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OctagonAI/skills
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Works with
Analyze proxy statements (DEF 14A) to extract executive compensation, governance information, and shareholder voting matters using Octagon MCP. Sec Proxy Analysis is an agent skill from OctagonAI/skills. Analyze proxy statements (DEF 14A) to extract executive compensation, governance information, and shareholder voting matters using Octagon MCP.
Sec Proxy Analysis fits situations like: researching CEO pay; board composition; say-on-pay votes; corporate governance practices.
Run `npx skills add OctagonAI/skills --skill sec-proxy-analysis -a claude-code`. Or copy the skill folder (skills/sec-proxy-analysis in OctagonAI/skills) into .claude/skills/sec-proxy-analysis in your project. Claude Code loads it when a task matches its description.
Run `npx skills add OctagonAI/skills --skill sec-proxy-analysis -a codex`. Or copy the skill folder (skills/sec-proxy-analysis in OctagonAI/skills) into .agents/skills/sec-proxy-analysis in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add OctagonAI/skills --skill sec-proxy-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sec-proxy-analysis, .gemini/skills/sec-proxy-analysis, .github/skills/sec-proxy-analysis and .opencode/skills/sec-proxy-analysis in your project.
SKILL.md names no scripts, command-line tools or credentials: Sec Proxy Analysis is instructions for the agent only.
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.
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.
Sec Proxy Analysis is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.1k tokens (SKILL.md is roughly 8.3k 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 2.6k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Sec Proxy Analysis: 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.
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.