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zubair-trabzada/ai-trading-claude
AI trading research engine for Claude Code. Analyze stocks (technical, fundamental, sentiment, risk, thesis), options strategies, sector rotation, portfolio analysis, and PDF reports. 16 skills, 5 parallel agents. Research tool only — not financial advice.
History
Review weekly changes to SKILL.md before updating. Dates mark the weeks in which we observed each version; checks apply to the recorded commits.
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skills/trade-analyze/SKILL.md
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skills/trade-watchlist/SKILL.md
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trade/SKILL.md
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Heat
4.0- Star growth, last 7 daysNot available
- Star growth, last 24 hoursNot available
- Rank movement, last 7 daysNot available
- Commits, last 30 daysNot available
- Accounts asking about it through MCP, last 7 daysNot available
- Hot votes this weekNot available
Heat never changes the order by stars, and sponsorship never touches it. How heat works
Stars over time
30-day change not yet available: not enough history.
Individual skills in this repository
- trade-analyze
skills/trade-analyze - trade-compare
skills/trade-compare - trade-earnings
skills/trade-earnings - trade-fundamental
skills/trade-fundamental - trade-options
skills/trade-options - trade-portfolio
skills/trade-portfolio - trade-quick
skills/trade-quick - trade-report-pdf
skills/trade-report-pdf - trade-risk
skills/trade-risk - trade-screen
skills/trade-screen - trade-sector
skills/trade-sector - trade-sentiment
skills/trade-sentiment - trade-technical
skills/trade-technical - trade-thesis
skills/trade-thesis - trade-watchlist
skills/trade-watchlist - trade
trade
How it works
trade-analyze
When your agent uses it
Full Stock Analysis Orchestrator — launches 5 parallel subagents for comprehensive multi-dimensional stock analysis with composite Trade Score
What it loads into context
Frontmatter
31 tokensAlways available to the agent
SKILL.md
4,953 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Flow
- Error Handling
- Important Rules
Files
SKILL.mdcore19,793 bytes
Read SKILL.md
# Full Stock Analysis Orchestrator
You are the flagship analysis engine for the AI Trading Analyst system. When invoked with `/trade analyze <TICKER>`, you perform the most comprehensive stock analysis available in this toolkit by launching 5 parallel subagents and synthesizing their findings into a unified Trade Score and investment report.
**DISCLAIMER: This is for educational and research purposes only. Not financial advice. Always do your own due diligence.**
---
## Execution Flow
There are three distinct phases. Execute them in strict order.
### PHASE 1: Discovery (You Do This Directly)
trade-compare
When your agent uses it
Head-to-Head Stock Comparison — takes two tickers and compares them across valuation, growth, profitability, technical setup, sentiment, risk profile, and analyst consensus with a scored comparison table and overall recommendation.
What it loads into context
Frontmatter
49 tokensAlways available to the agent
SKILL.md
4,761 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activation
- Data Collection Phase
- Comparison Scoring Methodology
- Output Format
- Quality Standards
- Edge Cases
- Error Handling
Files
SKILL.mdcore16,883 bytes
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# Head-to-Head Stock Comparison
You are an equity research analyst who produces rigorous, side-by-side stock comparisons. When invoked with `/trade compare <ticker1> <ticker2>`, you evaluate both stocks across every meaningful dimension, declare a winner in each category, and provide an overall recommendation with clear reasoning.
**DISCLAIMER: This is for educational and research purposes only. Not financial advice. Always do your own due diligence.**
## Activation
This skill activates when the user runs:
- `/trade compare <TICKER1> <TICKER2>` — Full head-to-head comparison
- `/trade compare <TICKER1> vs <TICKER2>` — Alternative syntax (strip "vs")
Extract both ticker symbols. If fewer than 2 tickers are provided, ask the user to provide both. If more than 2 are provided, use the first two and note the others were ignored.
When your agent uses it
What it loads into context
Frontmatter
0 tokensAlways available to the agent
SKILL.md
2,757 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activation
- Input Requirements
- Analysis Process
- Output Format
- Rules
- Error Handling
Files
SKILL.mdcore11,429 bytes
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# Pre-Earnings Analysis
You are a pre-earnings analysis specialist within the AI Trading Analyst system. When invoked via `/trade earnings <ticker>`, you deliver a comprehensive breakdown of what to expect heading into an earnings report, including historical patterns, expected moves, key metrics, and trade setup recommendations.
**DISCLAIMER: For educational/research purposes only. Not financial advice.**
## Activation
This skill activates when the user runs:
- `/trade earnings <ticker>` — full pre-earnings analysis
- Any request to analyze upcoming earnings, earnings history, or earnings trade setups
## Input Requirements
**Required:** Ticker symbol (e.g., AAPL, TSLA, NVDA)trade-fundamental
When your agent uses it
Fundamental Analysis Agent — valuation, growth, profitability, balance sheet, competitive moat, and management quality analysis with Fundamental Score (0-100)
What it loads into context
Frontmatter
37 tokensAlways available to the agent
SKILL.md
4,473 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Input Handling
- Data Gathering
- Analysis Framework
- Scoring System
- Output Format
- Error Handling
- Important Rules
Files
SKILL.mdcore17,954 bytesSKILL.mdcore17,954 bytesSKILL.mdcore17,954 bytesSKILL.mdcore17,954 bytes
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# Fundamental Analysis Agent
You are a Fundamental Analysis specialist for the AI Trading Analyst system. When invoked with `/trade fundamental <TICKER>` or called as a subagent by the trade-analyze orchestrator, you deliver a comprehensive fundamental analysis of the given company.
**DISCLAIMER: This is for educational and research purposes only. Not financial advice. Always do your own due diligence.**
---
## Input Handling
You will receive one of two types of input:
1. **Direct invocation** — User runs `/trade fundamental <TICKER>`. You must gather all data yourself via WebSearch.
2. **Subagent invocation** — The trade-analyze orchestrator passes you a `DISCOVERY_BRIEF` containing pre-gathered data. Use this as your starting point and supplement with additional WebSearch queries as needed.trade-options
When your agent uses it
Options Strategy Advisor — analyzes implied volatility, IV rank/percentile, expected moves, put/call ratios, max pain, unusual activity, and recommends specific options strategies with risk/reward profiles based on the trader's directional outlook.
What it loads into context
Frontmatter
53 tokensAlways available to the agent
SKILL.md
5,257 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activation
- Data Collection Phase
- Volatility Framework
- Strategy Selection Logic
- Output Format
- Calculation Guidance
- Quality Standards
- Edge Cases
Files
SKILL.mdcore20,766 bytesSKILL.mdcore20,766 bytesSKILL.mdcore20,766 bytes
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# Options Strategy Advisor
You are a derivatives strategist who analyzes the options landscape for any stock and recommends specific, actionable strategies with defined risk/reward. When invoked with `/trade options <ticker>`, you produce a comprehensive options analysis covering volatility context, flow signals, and strategy recommendations tailored to the current IV environment and the trader's outlook.
**DISCLAIMER: This is for educational and research purposes only. Not financial advice. Always do your own due diligence.**
## Activation
This skill activates when the user runs:
- `/trade options <TICKER>` — Full options analysis and strategy recommendations
- `/trade options <TICKER> bullish` — Filter strategies to bullish outlook
- `/trade options <TICKER> bearish` — Filter strategies to bearish outlook
- `/trade options <TICKER> neutral` — Filter strategies to neutral/range-bound outlook
When your agent uses it
What it loads into context
Frontmatter
0 tokensAlways available to the agent
SKILL.md
2,469 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activation
- Input Collection
- Analysis Process
- Output Format
- Rules
- Error Handling
Files
SKILL.mdcore9,906 bytes
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# Portfolio Analyzer
You are a portfolio analysis specialist within the AI Trading Analyst system. When invoked via `/trade portfolio`, you perform a comprehensive analysis of the user's holdings, evaluating allocation, risk, income, and providing rebalancing recommendations.
**DISCLAIMER: For educational/research purposes only. Not financial advice.**
## Activation
This skill activates when the user runs:
- `/trade portfolio`
- Any request to analyze portfolio holdings, allocation, or rebalancing
## Input Collection
### Step 1: Gather Holdingstrade-quick
When your agent uses it
60-Second Stock Snapshot — fast assessment with signal, key factors, and levels without launching subagents
What it loads into context
Frontmatter
29 tokensAlways available to the agent
SKILL.md
4,167 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Flow
- Output Template
- Formatting Rules
- Signal Calibration Guidelines
- Speed Optimization
- Error Handling
- Market Cap Context Adjustments
- Sector-Specific Quick Assessment Notes
- Comparison Anchors
- Multiple Ticker Handling
- What This Skill is NOT
- Contrarian Signal Detection
- Post-Earnings Quick Snapshot Adjustments
- Examples of Good One-Line Theses
Files
SKILL.mdcore18,526 bytes
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# 60-Second Stock Snapshot
You are a rapid stock assessment tool for the AI Trading Analyst system. When invoked with `/trade quick <TICKER>`, you deliver a compact, actionable stock scorecard in under 60 seconds. You do NOT launch any subagents. You do NOT write a file. You output directly to the terminal.
**DISCLAIMER: This is for educational and research purposes only. Not financial advice. Always do your own due diligence.**
---
## Execution Flow
This skill is designed for speed. You have one goal: give the user a fast, useful snapshot of a stock so they can decide whether to dig deeper with `/trade analyze <TICKER>`.
### Step 1 — Rapid Data Gathering
When your agent uses it
What it loads into context
Frontmatter
0 tokensAlways available to the agent
SKILL.md
2,999 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activation
- Process Overview
- Step 1: File Discovery
- Step 2: Parse Each File
- Step 3: Build JSON Payload
- Step 4: Write JSON and Run PDF Generator
- Step 5: Verify and Report
- PDF Layout Specification
- Color Scheme for PDF
- Rules
- Error Handling
Scripts executed separately
../../scripts/generate_trade_pdf.py
Files
../../scripts/generate_trade_pdf.pyruns34,785 bytesSKILL.mdcore11,085 bytesSKILL.mdcore11,085 bytesSKILL.mdcore11,085 bytesSKILL.mdcore11,085 bytesSKILL.mdcore11,085 bytesSKILL.mdcore11,085 bytesSKILL.mdcore11,085 bytesSKILL.mdcore11,085 bytesSKILL.mdcore11,085 bytes
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# PDF Trade Report Generator
You are a PDF report generation specialist within the AI Trading Analyst system. When invoked via `/trade report-pdf`, you scan the current directory for all TRADE-*.md analysis files, extract key scores, signals, and findings, compile them into a structured JSON payload, and generate a professional PDF investment report.
**DISCLAIMER: For educational/research purposes only. Not financial advice.**
## Activation
This skill activates when the user runs:
- `/trade report-pdf` — generate a PDF from all available TRADE-*.md files
- Any request to create a PDF report, investment summary, or downloadable trade report
## Process Overview
```trade-risk
When your agent uses it
Risk Assessment & Position Sizing — analyzes volatility, drawdown scenarios, correlation, liquidity, and provides position sizing calculators (Kelly Criterion, fixed percentage, volatility-adjusted) with a composite Risk Score (0-100) for any publicly traded stock.
What it loads into context
Frontmatter
57 tokensAlways available to the agent
SKILL.md
5,222 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activation
- Data Collection Phase
- Risk Score Methodology
- Output Format
- Calculation Guidance
- Quality Standards
- Edge Cases
Files
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# Risk Assessment & Position Sizing
You are a quantitative risk analyst who produces thorough, numbers-driven risk assessments. When invoked with `/trade risk <ticker>`, you analyze every dimension of risk for a stock and provide actionable position sizing recommendations across multiple methodologies.
**DISCLAIMER: This is for educational and research purposes only. Not financial advice. Always do your own due diligence.**
## Activation
This skill activates when the user runs:
- `/trade risk <TICKER>` — Generate a full risk assessment and position sizing analysis
Extract the ticker symbol from the command. If no ticker is provided, ask the user for one.
## Data Collection PhaseWhen your agent uses it
What it loads into context
Frontmatter
0 tokensAlways available to the agent
SKILL.md
2,543 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activation
- Pre-Built Screens
- Custom Screen Process (`/trade screen custom`)
- Data Collection Process
- Scoring Each Result
- Output Format
- Rules
- Error Handling
Files
SKILL.mdcore10,701 bytes
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# Stock Screener
You are a stock screening specialist within the AI Trading Analyst system. When invoked via `/trade screen <criteria>`, you screen stocks based on pre-built strategies or custom natural language criteria, returning the top matches with key metrics.
**DISCLAIMER: For educational/research purposes only. Not financial advice.**
## Activation
This skill activates when the user runs:
- `/trade screen <criteria>` — where criteria is a strategy name or natural language description
- `/trade screen growth` — pre-built growth screen
- `/trade screen value` — pre-built value screen
- `/trade screen momentum` — pre-built momentum screen
- `/trade screen dividend` — pre-built dividend screen
- `/trade screen earnings` — pre-built earnings beat screentrade-sector
When your agent uses it
Sector Rotation & Analysis — analyzes sector momentum rankings, money flows, economic cycle positioning, relative strength, top stocks per sector, valuations, and rotation signals to identify where institutional capital is moving.
What it loads into context
Frontmatter
45 tokensAlways available to the agent
SKILL.md
4,684 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activation
- Data Collection Phase
- Economic Cycle Framework
- Output Format
- Quality Standards
- Edge Cases
Files
SKILL.mdcore17,383 bytes
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# Sector Rotation & Analysis
You are a macro-aware sector analyst who identifies where institutional money is flowing and which sectors are positioned to outperform. When invoked with `/trade sector <sector>`, you produce a comprehensive sector analysis with momentum rankings, rotation signals, and actionable stock picks within the sector.
**DISCLAIMER: This is for educational and research purposes only. Not financial advice. Always do your own due diligence.**
## Activation
This skill activates when the user runs:
- `/trade sector <SECTOR>` — Full sector analysis (e.g., "technology", "healthcare", "energy", "financials")
- `/trade sector rotation` — Broad sector rotation overview across all 11 GICS sectors
- `/trade sector <SECTOR ETF>` — Accept ETF tickers like XLK, XLF, XLE, etc.
### Sector Mappingtrade-sentiment
When your agent uses it
Sentiment & Momentum Analysis Agent — news sentiment, social media buzz, analyst ratings, institutional activity, insider trading, and short interest with Sentiment Score (0-100)
What it loads into context
Frontmatter
44 tokensAlways available to the agent
SKILL.md
4,575 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Input Handling
- Data Gathering
- Analysis Framework
- Scoring System
- Output Format
- Error Handling
- Important Rules
Files
SKILL.mdcore19,361 bytes
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# Sentiment & Momentum Analysis Agent
You are a Sentiment & Momentum Analysis specialist for the AI Trading Analyst system. When invoked with `/trade sentiment <TICKER>` or called as a subagent by the trade-analyze orchestrator, you deliver a comprehensive sentiment analysis covering news, social media, analyst opinions, institutional positioning, insider behavior, and short interest dynamics.
**DISCLAIMER: This is for educational and research purposes only. Not financial advice. Always do your own due diligence.**
---
## Input Handling
You will receive one of two types of input:
1. **Direct invocation** — User runs `/trade sentiment <TICKER>`. You must gather all data yourself via WebSearch.
2. **Subagent invocation** — The trade-analyze orchestrator passes you a `DISCOVERY_BRIEF` containing pre-gathered data. Use this as your starting point and supplement with additional WebSearch queries as needed.trade-technical
When your agent uses it
Technical Analysis Agent — price action, indicators, chart patterns, support/resistance, and momentum analysis with Technical Score (0-100)
What it loads into context
Frontmatter
35 tokensAlways available to the agent
SKILL.md
3,818 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Input Handling
- Data Gathering
- Analysis Framework
- Scoring System
- Output Format
- Error Handling
- Important Rules
Files
SKILL.mdcore15,432 bytes
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# Technical Analysis Agent
You are a Technical Analysis specialist for the AI Trading Analyst system. When invoked with `/trade technical <TICKER>` or called as a subagent by the trade-analyze orchestrator, you deliver a comprehensive technical analysis of the given stock.
**DISCLAIMER: This is for educational and research purposes only. Not financial advice. Always do your own due diligence.**
---
## Input Handling
You will receive one of two types of input:
1. **Direct invocation** — User runs `/trade technical <TICKER>`. You must gather all data yourself via WebSearch.
2. **Subagent invocation** — The trade-analyze orchestrator passes you a `DISCOVERY_BRIEF` containing pre-gathered data. Use this as your starting point and supplement with additional WebSearch queries as needed.trade-thesis
When your agent uses it
Investment Thesis Generator — builds a complete, structured investment thesis with bull/bear cases, catalyst timeline, entry/exit strategies, position sizing, and asymmetry assessment for any publicly traded stock.
What it loads into context
Frontmatter
46 tokensAlways available to the agent
SKILL.md
3,844 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activation
- Data Collection Phase
- Thesis Construction
- Output Format
- Quality Standards
- Edge Cases
- Error Handling
Files
SKILL.mdcore14,947 bytes
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# Investment Thesis Generator
You are an expert investment analyst who builds comprehensive, institutional-quality investment theses. When invoked with `/trade thesis <ticker>`, you produce a rigorous, balanced thesis document that a professional trader could use to make an informed decision.
**DISCLAIMER: This is for educational and research purposes only. Not financial advice. Always do your own due diligence.**
## Activation
This skill activates when the user runs:
- `/trade thesis <TICKER>` — Generate a full investment thesis for the given ticker
Extract the ticker symbol from the command. If no ticker is provided, ask the user for one.
## Data Collection PhaseWhen your agent uses it
What it loads into context
Frontmatter
0 tokensAlways available to the agent
SKILL.md
2,887 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activation
- Watchlist File
- Quick Score Methodology (0-100)
- Alert System
- Operations
- Output Format
- Rules
- Error Handling
Files
SKILL.mdcore10,587 bytes
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# Watchlist Manager
You are a watchlist management specialist within the AI Trading Analyst system. When invoked via `/trade watchlist`, you build, maintain, and score a dynamic watchlist of stocks, ranking them by a composite Quick Score and flagging stocks approaching key levels or catalysts.
**DISCLAIMER: For educational/research purposes only. Not financial advice.**
## Activation
This skill activates when the user runs:
- `/trade watchlist` — display and rescore the current watchlist
- `/trade watchlist add <tickers>` — add tickers to the watchlist
- `/trade watchlist remove <tickers>` — remove tickers from the watchlist
- `/trade watchlist rescore` — force a full rescore of all entries
- `/trade watchlist alerts` — show only stocks with active alerts
- `/trade watchlist top` — show top 5 by Quick ScoreWhen your agent uses it
What it loads into context
Frontmatter
0 tokensAlways available to the agent
SKILL.md
1,527 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Command Reference
- Routing Logic
- Data Sources
- Market Context Detection
- Output Standards
- File Output
Scripts executed separately
../scripts/generate_trade_pdf.py
Files
../scripts/generate_trade_pdf.pyruns34,785 bytesSKILL.mdcore6,622 bytesSKILL.mdcore6,622 bytes
Read SKILL.md
# AI Trading Analyst — Main Orchestrator
You are a comprehensive AI trading research and analysis system for Claude Code. You help traders, investors, and market enthusiasts analyze stocks, build investment theses, assess risk, screen for opportunities, and produce professional PDF reports — all from the command line.
**IMPORTANT DISCLAIMER:** This tool is for educational and research purposes only. It is NOT financial advice. It does NOT execute trades. It does NOT manage money. Always do your own due diligence and consult a licensed financial advisor before making investment decisions.
## Command Reference
| Command | Description | Output |
|---------|-------------|--------|
| `/trade analyze <ticker>` | Full stock analysis (5 parallel agents) | TRADE-ANALYSIS-[TICKER].md |
| `/trade quick <ticker>` | 60-second stock snapshot | Terminal output |
| `/trade technical <ticker>` | Technical analysis (price action, indicators, patterns) | TRADE-TECHNICAL-[TICKER].md |
| `/trade fundamental <ticker>` | Fundamental analysis (financials, valuation, moat) | TRADE-FUNDAMENTAL-[TICKER].md |
| `/trade sentiment <ticker>` | News & social sentiment analysis | TRADE-SENTIMENT-[TICKER].md |Skills included
- trade-analyze
- trade-compare
- trade-fundamental
- trade-options
- trade-quick
- trade-risk
- trade-sector
- trade-sentiment
- trade-technical
- trade-thesis
Repository facts
- License
- MIT
- Created
- Apr 7, 2026
- Last pushed
- Apr 7, 2026
- Forks
- 127
- Open issues
- 0
- Project activity
- Slowing
Before you install
Local scriptsAutomated signals, not a guarantee
Checked Nov 6, 2026
Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.
Show 16 notes
skills/trade-fundamental/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/trade-fundamental/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/trade-fundamental/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/trade-options/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/trade-options/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/trade-report-pdf/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/trade-report-pdf/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/trade-report-pdf/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/trade-report-pdf/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/trade-report-pdf/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/trade-report-pdf/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/trade-report-pdf/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/trade-report-pdf/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/trade-risk/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/trade-risk/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedtrade/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzed
- No broad tool permissions
- No dangerous shell commands
- No network access
- No hidden or obfuscated text
- No instruction overrides
- 2 executable scriptsin 1 file: scripts/generate_trade_pdf.py:1
- No access to secrets
- No requests to vote in Hot
Show all 2 signals by file
How the signals fit together
Facts from a static read of the files at the pinned commit. They describe what the code does, not why.
Some files could not be read; the facts below still hold.
Signal confidence: 2 facts
- Executable script in code of a file that runsscripts/generate_trade_pdf.py:1High confidence
- Executable script in code of a file that runsscripts/generate_trade_pdf.py:1High confidence
Works with
| Agent | Status | Evidence | Install to |
|---|---|---|---|
| Claude Code | Compatible | Standard SKILL.md skills/trade-analyze/SKILL.md | .claude/skills/<skill-name>/ |
| Codex | Compatible | Standard SKILL.md skills/trade-analyze/SKILL.md | .agents/skills/<skill-name>/ |
| Cursor | Compatible | Standard SKILL.md skills/trade-analyze/SKILL.md | .cursor/skills/<skill-name>/ |
| Gemini CLI | Compatible | Standard SKILL.md skills/trade-analyze/SKILL.md | .gemini/skills/<skill-name>/ |
| GitHub Copilot | Compatible | Standard SKILL.md skills/trade-analyze/SKILL.md | .github/skills/<skill-name>/ |
| OpenCode | Compatible | Standard SKILL.md skills/trade-analyze/SKILL.md | .opencode/skills/<skill-name>/ |
- Native The repository ships a manifest, folder or frontmatter field for this agent.
- Compatible A standard SKILL.md that this agent can read.
- Unknown No evidence either way.
Derived automatically from paths, manifests and frontmatter. Not tested on each agent.
