Okx Sentiment Tracker
dex-original/okx-agent-trade-kit
A skill your agent uses when the user asks about: 'any crypto news', 'latest news', 'market update', 'daily briefing', 'BTC news', 'ETH news', 'news on SOL', 'search SEC ETF', 'regulation news'…
Comprehensive market analyst skill that orchestrates all Octagon stock performance and market data skills.
Install Market Analyst Master
$ npx skills add OctagonAI/skills --skill market-analyst-master -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install OctagonAI/skills market-analyst-master --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/market-analyst-master .claude/skills/market-analyst-master && 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 "market-analyst-master" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/market-analyst-master into .claude/skills/market-analyst-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "market-analyst-master", 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/market-analyst-masterType 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 market-analyst-master -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install OctagonAI/skills market-analyst-master --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/market-analyst-master .agents/skills/market-analyst-master && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "market-analyst-master" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/market-analyst-master into .agents/skills/market-analyst-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "market-analyst-master", 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 market-analyst-master -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install OctagonAI/skills market-analyst-master --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/market-analyst-master .cursor/skills/market-analyst-master && 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 "market-analyst-master" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/market-analyst-master into .cursor/skills/market-analyst-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "market-analyst-master", 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/market-analyst-master--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 market-analyst-master -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install OctagonAI/skills market-analyst-master --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/market-analyst-master .gemini/skills/market-analyst-master && 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 "market-analyst-master" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/market-analyst-master into .gemini/skills/market-analyst-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "market-analyst-master", 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 market-analyst-masterInstalls 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 market-analyst-master -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/market-analyst-master .github/skills/market-analyst-master && 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 "market-analyst-master" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/market-analyst-master into .github/skills/market-analyst-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "market-analyst-master", 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 market-analyst-master -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 market-analyst-master --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/market-analyst-master .opencode/skills/market-analyst-master && 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 "market-analyst-master" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/market-analyst-master into .opencode/skills/market-analyst-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "market-analyst-master", 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
market-analyst-master- GitHub stars
- 127
- Token cost
- ~2.5k tokens
- SKILL.md length
- 699 words
- Files
- 23 (incl. references)
- Skills in repo
- 53
- Repo updated
- First seen
- Licence
- MIT
At a glance
Comprehensive market analyst skill that orchestrates all Octagon stock performance and market data skills.
- Works in 7 steps: Stock Snapshot → Analyst Sentiment → Historical Performance → …
- Conducting stock analysis
- SKILL.md covers Persona, Prerequisites, Available Skills and Workflow, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Market Analyst Master is an agent skill from OctagonAI/skills. Comprehensive market analyst skill that orchestrates all Octagon stock performance and market data skills. Use when conducting stock analysis, creating market reports, evaluating valuations, comparing sectors, or performing technical and sentiment analysis.
Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 23 other files, including reference files (for example `README.md`, `marketplace.json` and `references/mcp-setup.md`).
It sits in Business, Finance & HR, covering Stock and market analysis and Customer feedback analysis. 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
- Conducting stock analysis
- Creating market reports
- Evaluating valuations
- Comparing sectors
Example prompts
- “/market-analyst-master”
Workflow steps
7 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.
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
Market Analyst Master loads about 2.5k tokens when it runs, and up to ~12k if it reads all its reference files. Until then it costs about 70 tokens; SKILL.md has 699 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). 699 words, ~2,468 tokens.
Download SKILL.mdSave it as
.claude/skills/market-analyst-master/SKILL.md (or your agent's skills folder). This skill also uses 22 other files; get the full folder from GitHub.- name
- market-analyst-master
- description
- Comprehensive market analyst skill that orchestrates all Octagon stock performance and market data skills. Use when conducting stock analysis, creating market reports, evaluating valuations, comparing sectors, or performing technical and sentiment analysis.
Market Analyst Master
You are a senior market analyst conducting comprehensive stock and market analysis using the full suite of Octagon MCP stock performance and market data skills.
Persona
Role: Senior Market Analyst writing a Stock Analysis and Market Intelligence Report.
Audience: Portfolio manager or trader who needs actionable market intelligence. Clear, data-driven, focused on timing and positioning.
Style: Modeled on institutional trading desk research. Concise, quantitative, with emphasis on price action, sentiment, and relative value.
Prerequisites
Ensure Octagon MCP is configured in Cursor. See references/mcp-setup.md for installation instructions.
Available Skills
This master skill orchestrates all individual stock and market analysis skills:
Stock Price & Performance
- Stock Performance - Daily closing prices, volume, historical trends
- Stock Quote - Real-time quotes, day range, moving averages
- Stock Price Change - Returns across all timeframes (1D to 10Y)
- Historical Market Cap - Market cap trends over time
Market Capitalization
- Company Market Cap - Single company valuation
- Batch Market Cap - Multi-company comparison
Analyst Sentiment
- Price Target Summary - Target trends by timeframe
- Price Target Consensus - Average, median, high, low targets
- Stock Grades - Analyst ratings and changes
Sector & Industry Analysis
- Sector P/E Ratios - Sector valuation benchmarks
- Industry P/E Ratios - Industry peer valuations
- Sector Performance Snapshot - Sector metrics
- Industry Performance Snapshot - Daily industry moves
Market Indices
- Stock Historical Index - S&P 500, NASDAQ historical data
Commodities & Forex
- Commodities List - Tradable commodities catalog
- Commodities Quote - Real-time commodity prices
- Forex List - Currency pair listings
Workflow
See references/workflow-overview.md for the complete end-to-end analysis workflow.
Phase 1: Stock Snapshot
Get current price data and trading context:
1. Get real-time stock quote for the symbol <TICKER>
2. Get stock price change statistics for the symbol <TICKER>
3. Get market capitalization data for the symbol <TICKER>Phase 2: Analyst Sentiment
Evaluate Wall Street positioning:
1. Retrieve the analysts' price-target summary for the stock symbol <TICKER>
2. Retrieve consensus price targets for the stock symbol <TICKER>
3. Get the latest stock grades for the symbol <TICKER> from top analystsPhase 3: Historical Performance
Analyze price and market cap trends:
1. Retrieve the daily closing prices for <TICKER> over the last 30 days
2. Retrieve historical market capitalization data for <TICKER> from <START> to <END>Phase 4: Sector & Industry Context
Benchmark against peers and sector:
1. Retrieve the latest sector P/E ratios for <DATE>, filtered by exchange <EXCHANGE> and sector <SECTOR>
2. Retrieve the latest industry P/E ratios for <DATE>, filtered by exchange <EXCHANGE> and industry <INDUSTRY>
3. Retrieve a snapshot of market sector performance for <DATE>, filtered by exchange <EXCHANGE> and sector <SECTOR>Phase 5: Market Context
Understand broader market environment:
1. Retrieve full historical end-of-day price data for the ^GSPC index from <START> to <END>
2. Retrieve a daily overview of industry performance for <DATE>, filtered by exchange <EXCHANGE> and industry <INDUSTRY>Phase 6: Asset Class Context (Optional)
For macro-sensitive stocks, add commodity/forex context:
1. Retrieve the real-time price quote for GCUSD (gold)
2. Retrieve a full listing of actively traded currency pairsPhase 7: Report Generation
Synthesize findings into market intelligence report. See references/report-template.md for the complete template.
Report Structure
Stock Snapshot
- Current price, change, volume
- Day range, 52-week range
- 50-day and 200-day moving averages
- Market cap and size classification
Skills used: stock-quote, company-market-cap
Price Performance
- Returns: 1D, 5D, 1M, 3M, 6M, YTD, 1Y, 5Y, 10Y
- Performance vs. S&P 500
- Trend analysis (uptrend/downtrend/consolidation)
Skills used: stock-price-change, stock-performance, stock-historical-index
Analyst Sentiment
- Consensus price target and upside/downside
- Target range (high/low spread)
- Recent rating changes
- Buy/hold/sell distribution
Skills used: price-target-summary, price-target-consensus, stock-grades
Valuation Context
- Company P/E vs. sector P/E
- Company P/E vs. industry P/E
- Premium/discount to peers
- Relative value assessment
Skills used: sector-pe-ratios, industry-pe-ratios
Sector & Industry Analysis
- Sector performance metrics
- Industry daily performance
- Relative strength vs. sector
- Sector rotation signals
Skills used: sector-performance-snapshot, industry-performance-snapshot
Show full SKILL.md (274 more words)Show less
Market Cap Analysis
- Current market cap
- Historical market cap trend
- Size classification changes
- Comparison to peers
Skills used: company-market-cap, batch-market-cap, historical-market-cap
Market Context
- S&P 500 / NASDAQ trends
- Market volatility
- Risk-on/risk-off assessment
- Sector leadership
Skills used: stock-historical-index, sector-performance-snapshot
Commodity/Forex Context (if applicable)
- Relevant commodity prices
- Currency exposure factors
- Macro correlations
Skills used: commodities-quote, forex-list
Investment Implications
- Technical outlook
- Sentiment assessment
- Relative value conclusion
- Key levels to watch
Skills used: All skills synthesized
Example: Full Analysis Query Sequence
# Phase 1: Stock Snapshot
Get real-time stock quote for the symbol AAPL
Get stock price change statistics for the symbol AAPL
Get market capitalization data for the symbol AAPL
# Phase 2: Analyst Sentiment
Retrieve the analysts' price-target summary for the stock symbol AAPL
Retrieve consensus price targets for the stock symbol AAPL
Get the latest stock grades for the symbol AAPL from top analysts
# Phase 3: Historical Performance
Retrieve the daily closing prices for AAPL over the last 30 days
Retrieve historical market capitalization data for AAPL from 2024-01-01 to 2025-01-31
# Phase 4: Sector Context
Retrieve the latest sector P/E ratios filtered by exchange NASDAQ and sector Technology
Retrieve the latest industry P/E ratios filtered by exchange NASDAQ and industry Semiconductors
Retrieve a snapshot of market sector performance filtered by exchange NASDAQ and sector Technology
# Phase 5: Market Context
Retrieve full historical end-of-day price data for the ^GSPC index from 2025-01-01 to 2025-01-31
Retrieve a daily overview of industry performance filtered by exchange NASDAQ and industry Consumer Electronics
# Phase 6: Peer Comparison
Retrieve market capitalization data for the following companies: AAPL, MSFT, GOOGL, AMZN
Get stock price change statistics for the symbol MSFT
Get stock price change statistics for the symbol GOOGLOutput Specifications
Length: 3,000-6,000 words for full report
Section allocation: 300-600 words per major section
Formatting:
- Tables for price data, returns, valuations
- Bold key metrics (price, target, upside %)
- Bullet points for quick takeaways
- Clear section headers
- Source attribution for all data
Analysis Framework
Technical Assessment
| Signal | Bullish | Bearish |
|---|---|---|
| Price vs. 50-day MA | Above | Below |
| Price vs. 200-day MA | Above | Below |
| 50-day vs. 200-day | Golden cross | Death cross |
| 52-week position | Near high | Near low |
| Volume | Confirming | Diverging |
Sentiment Assessment
| Factor | Bullish | Bearish |
|---|---|---|
| Consensus target | >15% upside | <5% upside |
| Recent revisions | Upgrades | Downgrades |
| Target spread | Tight | Wide |
| Rating mix | >70% buy | >30% sell |
Valuation Assessment
| Factor | Attractive | Expensive |
|---|---|---|
| vs. Sector P/E | Discount | Premium |
| vs. Industry P/E | Discount | Premium |
| vs. History | Below avg | Above avg |
Analysis Tips
Start with price action: Current quote and recent performance set context.
Layer in sentiment: Analyst targets and ratings show Wall Street view.
Add valuation context: P/E vs. sector/industry for relative value.
Consider market context: Is the market helping or hurting?
Synthesize signals: Technical + sentiment + valuation = complete view.
Watch for divergences: When indicators disagree, dig deeper.
Compliance
All data sourced from Octagon MCP. Timestamp all quotes and data points.
© 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 22 other files (references) in skills/market-analyst-master of OctagonAI/skills.
- SKILL.md
- README.md
- marketplace.json
- references/mcp-setup.md
- references/report-template.md
- references/skill-batch-market-cap.md
- references/skill-commodities-list.md
- references/skill-commodities-quote.md
- references/skill-company-market-cap.md
- references/skill-forex-list.md
- references/skill-historical-market-cap.md
- references/skill-industry-pe-ratios.md
- references/skill-industry-performance-snapshot.md
- references/skill-price-target-consensus.md
- references/skill-price-target-summary.md
- references/skill-sector-pe-ratios.md
- references/skill-sector-performance-snapshot.md
- references/skill-stock-grades.md
- references/skill-stock-historical-index.md
- references/skill-stock-performance.md
- … and 3 more
Open the folder on GitHubat commit 51e938c
Compare with similar skills
Market Analyst Master 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 |
|---|---|---|---|---|---|---|
| Market Analyst Master this skillOctagonAI/skills | 127 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Okx Sentiment Trackerdex-original/okx-agent-trade-kit | 110 | 1 repos | ~3.8k | Automated safety check: Pass | MIT | |
| Stock APIzhangxiangliang/stock-api | 2k | — | ~507 | Automated safety check: Pass | MIT | |
| Tradingview MCPatilaahmettaner/tradingview-mcp | 5k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Tradingagents AnalysisKylinMountain/TradingAgents-AShare | 857 | — | ~1.8k | Automated safety check: Pass | Custom licence | |
| Agentic Trading DeskOft3r/agentic-trading-desk | 306 | — | ~5.1k | Automated safety check: Pass | MIT |
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Questions about Market Analyst Master
What does Market Analyst Master do?
Comprehensive market analyst skill that orchestrates all Octagon stock performance and market data skills. Market Analyst Master is an agent skill from OctagonAI/skills. Comprehensive market analyst skill that orchestrates all Octagon stock performance and market data skills.
When should I use Market Analyst Master?
Market Analyst Master fits situations like: conducting stock analysis; creating market reports; evaluating valuations; comparing sectors.
How do I install Market Analyst Master in Claude Code?
Run `npx skills add OctagonAI/skills --skill market-analyst-master -a claude-code`. Or copy the skill folder (skills/market-analyst-master in OctagonAI/skills) into .claude/skills/market-analyst-master in your project. Claude Code loads it when a task matches its description.
How do I install Market Analyst Master in Codex?
Run `npx skills add OctagonAI/skills --skill market-analyst-master -a codex`. Or copy the skill folder (skills/market-analyst-master in OctagonAI/skills) into .agents/skills/market-analyst-master in your project. Codex loads it when a task matches its description.
Can I use Market Analyst Master 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 market-analyst-master -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/market-analyst-master, .gemini/skills/market-analyst-master, .github/skills/market-analyst-master and .opencode/skills/market-analyst-master in your project.
What does Market Analyst Master need to run?
SKILL.md names no scripts, command-line tools or credentials: Market Analyst Master is instructions for the agent only.
Does Market Analyst Master 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 Market Analyst Master 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 Market Analyst Master use?
Market Analyst Master 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 Market Analyst Master use?
About 2.5k tokens (SKILL.md is roughly 9.9k 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 9.3k tokens, read only when the agent opens those files.
What are the alternatives to Market Analyst Master?
Skills that share tags, products or a category with Market Analyst Master: Okx Sentiment Tracker (dex-original/okx-agent-trade-kit, 110 stars), Stock API (zhangxiangliang/stock-api, 2k stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars) and Tradingagents Analysis (KylinMountain/TradingAgents-AShare, 857 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Market Analyst Master?
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.