Im Registry indexiert
stock-analysis
Analyze stocks and cryptocurrencies with 8-dimension scoring via AIsa API. Provides BUY/HOLD/SELL signals with confidence levels, entry/target/stop prices, and risk flags. Supports single or multi-ticker analysis with optional fast mode and JSON output. Use when the user asks to
Übersicht
Analyze stocks and cryptocurrencies with 8-dimension scoring via AIsa API. Provides BUY/HOLD/SELL signals with confidence levels, entry/target/stop prices, and risk flags. Supports single or multi-ticker analysis with optional fast mode and JSON output. Use when the user asks to analyze a stock, check a ticker, or compare investments.
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Stock & Crypto Analysis — AIsa Edition
Analyze one or more stock or crypto tickers using the AIsa API with live Yahoo Finance data.
Setup
This skill requires an AIsa API key. Set it via plugin configuration or environment variable:
export AISA_API_KEY=your_key_here
export AISA_BASE_URL=https://api.aisa.one/v1 # optional
export AISA_MODEL=gpt-4o # optional
Or use the plugin's userConfig values (set automatically when the plugin is enabled).
Usage
Run the analysis script with one or more ticker symbols:
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-analysis/scripts/analyze_stock.py" AAPL
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-analysis/scripts/analyze_stock.py" BTC-USD ETH-USD
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-analysis/scripts/analyze_stock.py" AAPL MSFT GOOGL
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-analysis/scripts/analyze_stock.py" AAPL --fast
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-analysis/scripts/analyze_stock.py" AAPL --output json
Arguments
- Tickers: One or more stock symbols (e.g.,
AAPL,MSFT) or crypto symbols (e.g.,BTC-USD,ETH-USD) --fast: Skip slow analyses (insider trading, detailed news) for faster results--output json: Append a structured JSON summary after the analysis
Multi-Ticker Comparison
When multiple tickers are provided, the script produces individual analyses followed by a ranked comparison table:
| Ticker | Score | Signal | Key Strength | Key Risk |
|---|
8-Dimension Scoring (Stocks)
| # | Dimension | Weight |
|---|---|---|
| 1 | Earnings Surprise | 30% |
| 2 | Fundamentals (P/E, margins, growth) | 20% |
| 3 | Analyst Sentiment | 20% |
| 4 | Historical Patterns | 10% |
| 5 | Market Context (VIX, SPY/QQQ) | 10% |
| 6 | Sector Performance | 15% |
| 7 | Momentum (RSI, 52w range) | 15% |
| 8 | Sentiment (Fear/Greed, shorts, insiders) | 10% |
3-Dimension Scoring (Crypto)
| # | Dimension | Weight |
|---|---|---|
| 1 | Market Cap & Category | 40% |
| 2 | BTC Correlation (30-day) | 30% |
| 3 | Momentum (RSI, range, volume) | 30% |
Risk Flags
Automatically detected: Pre-earnings, Post-spike, Overbought, Risk-Off, Breaking News
Output
Final recommendation includes: Score (0-10), Signal (BUY/HOLD/SELL), Confidence (High/Medium/Low), and Entry / Target / Stop prices.
NOT FINANCIAL ADVICE. For informational purposes only.
Dateimetadaten
name: stock-analysis
description: Analyze stocks and cryptocurrencies with 8-dimension scoring via AIsa API. Provides BUY/HOLD/SELL signals with confidence levels, entry/target/stop prices, and risk flags. Supports single or multi-ticker analysis with optional fast mode and JSON output. Use when the user asks to analyze a stock, check a ticker, or compare investments.
compatibility: Designed for Agent Skills compatible clients such as OpenClaw, Claude Code, Hermes, and GitHub-backed skill catalogs. Requires system binaries python3, environment variables AISA_API_KEY and internet access to api.aisa.one.
metadata:
aisa:
emoji: 📊
requires:
bins:
- python3
env:
- AISA_API_KEY
primaryEnv: AISA_API_KEY
compatibility: Designed for Agent Skills compatible clients such as OpenClaw, Claude Code, Hermes, and GitHub-backed skill catalogs. Requires system binaries python3, environment variables AISA_API_KEY and internet access to api.aisa.one.Originaltext anzeigen
---
name: stock-analysis
description: Analyze stocks and cryptocurrencies with 8-dimension scoring via AIsa API. Provides BUY/HOLD/SELL signals with confidence levels, entry/target/stop prices, and risk flags. Supports single or multi-ticker analysis with optional fast mode and JSON output. Use when the user asks to analyze a stock, check a ticker, or compare investments.
compatibility: Designed for Agent Skills compatible clients such as OpenClaw, Claude Code, Hermes, and GitHub-backed skill catalogs. Requires system binaries python3, environment variables AISA_API_KEY and internet access to api.aisa.one.
metadata:
aisa:
emoji: 📊
requires:
bins:
- python3
env:
- AISA_API_KEY
primaryEnv: AISA_API_KEY
compatibility: Designed for Agent Skills compatible clients such as OpenClaw, Claude Code, Hermes, and GitHub-backed skill catalogs. Requires system binaries python3, environment variables AISA_API_KEY and internet access to api.aisa.one.
---
# Stock & Crypto Analysis — AIsa Edition
Analyze one or more stock or crypto tickers using the AIsa API with live Yahoo Finance data.
## Setup
This skill requires an AIsa API key. Set it via plugin configuration or environment variable:
```bash
export AISA_API_KEY=your_key_here
export AISA_BASE_URL=https://api.aisa.one/v1 # optional
export AISA_MODEL=gpt-4o # optional
```
Or use the plugin's `userConfig` values (set automatically when the plugin is enabled).
## Usage
Run the analysis script with one or more ticker symbols:
```bash
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-analysis/scripts/analyze_stock.py" AAPL
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-analysis/scripts/analyze_stock.py" BTC-USD ETH-USD
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-analysis/scripts/analyze_stock.py" AAPL MSFT GOOGL
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-analysis/scripts/analyze_stock.py" AAPL --fast
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-analysis/scripts/analyze_stock.py" AAPL --output json
```
### Arguments
- **Tickers**: One or more stock symbols (e.g., `AAPL`, `MSFT`) or crypto symbols (e.g., `BTC-USD`, `ETH-USD`)
- `--fast`: Skip slow analyses (insider trading, detailed news) for faster results
- `--output json`: Append a structured JSON summary after the analysis
### Multi-Ticker Comparison
When multiple tickers are provided, the script produces individual analyses followed by a ranked comparison table:
| Ticker | Score | Signal | Key Strength | Key Risk |
|--------|-------|--------|-------------|----------|
## 8-Dimension Scoring (Stocks)
| # | Dimension | Weight |
|---|-----------|--------|
| 1 | Earnings Surprise | 30% |
| 2 | Fundamentals (P/E, margins, growth) | 20% |
| 3 | Analyst Sentiment | 20% |
| 4 | Historical Patterns | 10% |
| 5 | Market Context (VIX, SPY/QQQ) | 10% |
| 6 | Sector Performance | 15% |
| 7 | Momentum (RSI, 52w range) | 15% |
| 8 | Sentiment (Fear/Greed, shorts, insiders) | 10% |
## 3-Dimension Scoring (Crypto)
| # | Dimension | Weight |
|---|-----------|--------|
| 1 | Market Cap & Category | 40% |
| 2 | BTC Correlation (30-day) | 30% |
| 3 | Momentum (RSI, range, volume) | 30% |
## Risk Flags
Automatically detected: Pre-earnings, Post-spike, Overbought, Risk-Off, Breaking News
## Output
Final recommendation includes: **Score (0-10)**, **Signal (BUY/HOLD/SELL)**, **Confidence (High/Medium/Low)**, and **Entry / Target / Stop prices**.
**NOT FINANCIAL ADVICE.** For informational purposes only.
Quelle prüfen
Preis und Betriebskosten
- Skill beziehen
- Preis unbestätigt
- Ausführen
- Anforderungen unbestätigt. Agenten-, API- und Dienstkosten an der Quelle prüfen.
- Lizenz
- Apache-2.0
- Preis unbestätigt
- Der Preis ist noch nicht bestätigt. Vorhandene Quell- und Installationslinks bleiben verfügbar.
Kostenloser Bezug bedeutet nicht kostenlosen Betrieb. Preise sind keine Sicherheitsbewertung. Preisinformation einreichen →
Skill-Quelle erfasst
Ein Anleitungspfad ist erfasst. Das ist kein Ausführungstest und keine Sicherheits- oder Kompatibilitätsgarantie.
Vor Installation prüfen: Automatische Installation vermeiden
Lizenz: Apache-2.0
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Financial research output is not financial advice; require human review before any live investment decision
- The SKILL.md instructs to run with `python3` but the script's docstring uses `uv run` and declares dependencies via PEP 723. This inconsistency may confuse users about how to install required packages (e.g., `openai`).
- The script uses `response_format` for JSON output, which may not be supported by all models or API endpoints, potentially causing errors in some environments.
- Low GitHub adoption signal
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 25 GitHub stars
- Stars/forks activity: 25 stars, 6 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
Tools sind Metadatenhinweise, keine getestete Kompatibilität. Prompts sind Vorschläge.
Mit einer kleinen Aufgabe beginnen
- 1Quelle lesen und Eingaben, Ergebnisse, Abhängigkeiten sowie Berechtigungen prüfen.
- 2Agent um einen Plan bitten. Einrichtung und Kosten vor einem isolierten Test genehmigen.
- 3Ergebnisse und geänderte Dateien prüfen. Nur tatsächliche Ausführungen melden und die Quellrevision aufbewahren.
Prüfe Abhängigkeiten, API-Schlüssel und externe Kosten in der Quelle. Öffentliche Repositories bedeuten nicht, dass alle Dienste kostenlos sind.
Quelle und Nutzungshinweise
Metadaten und Prüfungen dienen der Orientierung. Beliebtheit, Quellenerfassung und erfolgreiche Ausführung sind verschiedene Fakten.
- Quell-Repository
- AIsa-team/agent-skills
- Lizenz
- Apache-2.0
- Version
- Unknown
- Letzter GitHub-Push
- 10. Sept. 2026
- Verzeichnis aktualisiert
- 13. Sept. 2026
- Anleitungspfad
- financial/stock-analysis/SKILL.md @ bb70b34de56a
Version aus den Verzeichnismetadaten; Releases der Quelle prüfen.
Qualität
57/100
Vielversprechend
Vertrauen
55/100
Do not auto-install
Audit
69/100
Prüfung nötig
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Financial research output is not financial advice; require human review before any live investment decision
- The SKILL.md instructs to run with `python3` but the script's docstring uses `uv run` and declares dependencies via PEP 723. This inconsistency may confuse users about how to install required packages (e.g., `openai`).
- The script uses `response_format` for JSON output, which may not be supported by all models or API endpoints, potentially causing errors in some environments.
- Low GitHub adoption signal
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 25 GitHub stars
- Stars/forks activity: 25 stars, 6 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Verified installs
- —
- Ergebnisse
- —
Kopieren ist keine Installation. Zahlen benötigen eine Erfolgsmeldung und garantieren keine allgemeine Qualität.
Agent-Zugang
Die Registry API stellt Entscheidungs-, Vertrauens-, Audit-, Use-Case- und Installationssignale ohne UI-Scraping bereit.
Weitere Details
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"api": "https://www.openagentskill.com/api/agent/skills/aisa-team-stock-analysis",
"audit": "https://www.openagentskill.com/skills/aisa-team-stock-analysis/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=aisa-team-stock-analysis&task=Use%20stock-analysis%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20stock-analysis%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20stock-analysis%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/aisa-team-stock-analysis/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/aisa-team-stock-analysis"
}
}Für Ersteller
Quelle des Eintrags
Registry-indexiert
Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.
- Ersteller
- AIsa-team
- Quelle
- AIsa-team/agent-skills
- Indexiert von
- OpenAgentSkill Community-Index
Die Zuordnung verlinkt auf das öffentliche Repository oder Creator-Profil. Creator können den Eintrag beanspruchen, um Eigentümersignale zu aktualisieren.
Diesen Skill beanspruchenEigentümeranspruch
Diesen Skill-Eintrag beanspruchen
Dieser Registry-indexiert-Eintrag wird AIsa-team zugeschrieben, ist aber noch nicht offiziell markiert. Beanspruche ihn, um ein verifiziertes Eigentümersignal hinzuzufügen und künftige Launch-, Installations- und Audit-Updates vertrauenswürdiger zu machen.
Share-Kit
Creator-Backlink-Kit
Evidenz-Badges in deine README einfügen
Zeige den kanonischen Eintrag, aktuelle Vertrauens- und Audit-Signale sowie echte Agent-Proven-Evidenz dort, wo Entwickler das Repository bewerten.
[](https://www.openagentskill.com/skills/aisa-team-stock-analysis?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/aisa-team-stock-analysis?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/aisa-team-stock-analysis/audit)
[](https://www.openagentskill.com/skills/aisa-team-stock-analysis?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Community-Signal
Teile mit, ob dieser Skill für deinen Agent-Workflow nützlich ist. Zusammengefasstes Feedback verbessert das Ranking im Laufe der Zeit.
