Indexé dans Registry

stock-dividend

Analyze read-only dividend metrics for stocks via AIsa API. Provides yield, payout ratio, growth CAGR, safety score, income rating, and Dividend Aristocrat/King status without placing trades, making purchases, or managing brokerage accounts. Use when: the user needs market data,

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Prix non confirmé★ 25 Stars GitHubRegistre mis à jour · 13 sept. 2026agent-skill

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Documentation source, pas des instructions pour ce site. Vérifiez les permissions avant d’exécuter des commandes.

Dividend Analysis — AIsa Edition

Analyze dividend metrics for one or more tickers using the AIsa API. This is a read-only research helper: it does not connect to brokerage accounts, place orders, make purchases, or manage portfolios.

Usage

python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-dividend/scripts/dividends.py" JNJ
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-dividend/scripts/dividends.py" JNJ PG KO
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-dividend/scripts/dividends.py" JNJ PG KO --output json

Arguments

Tickers: One or more dividend-paying stock symbols. Inputs are validated before they are sent to the model.
--output json: Append structured JSON summary

Permission Boundary

The only required secret is AISA_API_KEY.
Requests go to https://api.aisa.one/v1 by default.
AISA_BASE_URL is optional and should only point to a trusted AIsa-compatible HTTPS endpoint.
Do not provide brokerage credentials, trading passwords, cookies, or payment details. This skill has no purchase or order-placement workflow.

Analysis Output

For each ticker, the analysis includes:

Core Metrics: Yield, ex-date, frequency, last payment amount
Payout Analysis: Payout ratio, FCF payout, coverage ratio
Growth: 1Y, 3Y CAGR, 5Y CAGR, consecutive years of increases
Last 5 Annual Dividends table
Safety Score (0-100): Based on payout ratio (25pts), FCF coverage (20pts), growth consistency (20pts), balance sheet (15pts), earnings stability (10pts), consecutive years (10pts)
Income Rating: Excellent (80+), Good (60-79), Moderate (40-59), Poor (<40)
Dividend Aristocrat/King status check

When multiple tickers are provided, a ranked comparison table is included.

NOT FINANCIAL ADVICE. For informational purposes only.

Voir la source ↗

Métadonnées du fichier

name: stock-dividend
description: 'Analyze read-only dividend metrics for stocks via AIsa API. Provides yield, payout ratio, growth CAGR, safety score, income rating, and Dividend Aristocrat/King status without placing trades, making purchases, or managing brokerage accounts. Use when: the user needs market data, stock analysis, dividend research, or read-only financial data workflows.'
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.
    version: 1.0.2
  openclaw:
    clawhub-slug: stock-dividend-aisa

Voir le texte original

---
name: stock-dividend
description: 'Analyze read-only dividend metrics for stocks via AIsa API. Provides yield, payout ratio, growth CAGR, safety score, income rating, and Dividend Aristocrat/King status without placing trades, making purchases, or managing brokerage accounts. Use when: the user needs market data, stock analysis, dividend research, or read-only financial data workflows.'
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.
    version: 1.0.2
  openclaw:
    clawhub-slug: stock-dividend-aisa
---

# Dividend Analysis — AIsa Edition

Analyze dividend metrics for one or more tickers using the AIsa API. This is a read-only research helper: it does not connect to brokerage accounts, place orders, make purchases, or manage portfolios.

## Usage

```bash
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-dividend/scripts/dividends.py" JNJ
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-dividend/scripts/dividends.py" JNJ PG KO
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-dividend/scripts/dividends.py" JNJ PG KO --output json
```

### Arguments

- **Tickers**: One or more dividend-paying stock symbols. Inputs are validated before they are sent to the model.
- `--output json`: Append structured JSON summary

## Permission Boundary

- The only required secret is `AISA_API_KEY`.
- Requests go to `https://api.aisa.one/v1` by default.
- `AISA_BASE_URL` is optional and should only point to a trusted AIsa-compatible HTTPS endpoint.
- Do not provide brokerage credentials, trading passwords, cookies, or payment details. This skill has no purchase or order-placement workflow.

## Analysis Output

For each ticker, the analysis includes:

- **Core Metrics**: Yield, ex-date, frequency, last payment amount
- **Payout Analysis**: Payout ratio, FCF payout, coverage ratio
- **Growth**: 1Y, 3Y CAGR, 5Y CAGR, consecutive years of increases
- **Last 5 Annual Dividends** table
- **Safety Score (0-100)**: Based on payout ratio (25pts), FCF coverage (20pts), growth consistency (20pts), balance sheet (15pts), earnings stability (10pts), consecutive years (10pts)
- **Income Rating**: Excellent (80+), Good (60-79), Moderate (40-59), Poor (<40)
- **Dividend Aristocrat/King** status check

When multiple tickers are provided, a ranked comparison table is included.

**NOT FINANCIAL ADVICE.** For informational purposes only.

Examiner la source

Prix et coûts d’utilisation

Obtenir le skill: Prix non confirmé
L’utiliser: Prérequis non confirmés. Consultez les frais d’agent, d’API et de services à la source.
Licence: Apache-2.0
Prix non confirmé: Le prix n’est pas confirmé. Les liens existants vers les sources et l’installation restent disponibles.

Gratuit à obtenir ne signifie pas gratuit à utiliser. Le prix ne constitue pas une évaluation de sécurité. Soumettre un prix →

Source du skill enregistrée

Un chemin vers les instructions est enregistré. Cela ne constitue pas un test, une garantie de sécurité ou de compatibilité.

Réviser avant installation: Éviter l’installation automatique

Licence: 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
Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
SKILL.md usage examples use `python3` directly, but the script requires the `openai` package which is not mentioned in the requirements. This could cause runtime errors if the dependency is not installed.
The script supports an `AISA_MODEL` environment variable that is not documented in SKILL.md.
Low GitHub adoption signal
Financial research output is not financial advice; require human review before any live investment decision.
This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 25 GitHub stars

Ouvrir l’audit complet

Les outils sont des indications de métadonnées, pas une compatibilité testée. Les prompts sont des suggestions.

Commencer par une petite tâche

1Lisez la source et confirmez entrées, résultats, dépendances et permissions.
2Demandez un plan à l’agent. Approuvez la configuration et les coûts avant un test isolé.
3Vérifiez résultats et fichiers modifiés. Signalez uniquement ce qui a été exécuté et conservez la révision source.

Vérifiez les dépendances, clés API et frais externes dans la source. Un dépôt public ne rend pas tous les services gratuits.

Source et conseils d’utilisation

RépertoriéExaminé par IA

Métadonnées et examens sont indicatifs. Popularité, découverte et exécution réussie sont des faits distincts.

Dépôt source: AIsa-team/agent-skills
Licence: Apache-2.0
Version: Unknown
Dernier push GitHub: 10 sept. 2026
Registre mis à jour: 13 sept. 2026
Chemin des instructions: financial/stock-dividend/SKILL.md @ bb70b34de56a

Version déclarée dans le registre ; vérifiez les versions de la source.

Qualité

58/100

Prometteur

Confiance

55/100

Do not auto-install

Audit

69/100

Risqué

Ouvrir l’audit complet Voir le rapport d’évaluation

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
Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
SKILL.md usage examples use `python3` directly, but the script requires the `openai` package which is not mentioned in the requirements. This could cause runtime errors if the dependency is not installed.
The script supports an `AISA_MODEL` environment variable that is not documented in SKILL.md.
Low GitHub adoption signal
Financial research output is not financial advice; require human review before any live investment decision.
This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 25 GitHub stars

Verified installs: —
Résultats: —

Copier ne signifie pas installer. Les compteurs nécessitent un rapport de réussite et ne garantissent pas la qualité globale.

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Plus de détails

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    "audit": "https://www.openagentskill.com/skills/aisa-team-stock-dividend/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=aisa-team-stock-dividend&task=Use%20stock-dividend%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20stock-dividend%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20stock-dividend%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/aisa-team-stock-dividend/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/aisa-team-stock-dividend"
  }
}

Pour le créateur

Source de la fiche

Indexé par Registry

Revendiable

Cette fiche a été indexée à partir de sources publiques et n’est pas marquée officielle tant qu’une revendication de mainteneur n’est pas approuvée.

Créateur: AIsa-team
Source: AIsa-team/agent-skills
Indexé par: Index communautaire OpenAgentSkill

L’attribution renvoie au dépôt public ou au profil du créateur. Les créateurs peuvent revendiquer la fiche pour mettre à jour les signaux de propriété.

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Cette fiche Indexé par Registry est attribuée à AIsa-team, mais n’est pas encore marquée officielle. Revendiquez-la pour ajouter un signal de propriétaire vérifié et rendre les futures mises à jour de lancement, d’installation et d’audit plus fiables.

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[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/aisa-team-stock-dividend?metric=listed&label=Listed)](https://www.openagentskill.com/skills/aisa-team-stock-dividend?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/aisa-team-stock-dividend?metric=trust&label=Trust)](https://www.openagentskill.com/skills/aisa-team-stock-dividend?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/aisa-team-stock-dividend?metric=audit&label=Audit)](https://www.openagentskill.com/skills/aisa-team-stock-dividend/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/aisa-team-stock-dividend?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/aisa-team-stock-dividend?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

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