Rapport d’audit du skill
stock-analysis Rapport d’audit.
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.
Trust Score OpenAgentSkill
Trust Score OpenAgentSkill
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
Adoption GitHub
Avertissement48
25 stars GitHub
Activité stars/forks
Avertissement43
25 stars et 6 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Maintenance récente
Validé88
1 mois depuis le dernier push
Clarté de licence
Validé86
Apache-2.0
Complétude README/SKILL.md
Validé86
Les métadonnées incluent suffisamment de contexte d’usage et de workflow
Risque dépendances/runtime
Avertissement46
command execution surface, credential or environment access
Disponibilité de l’installation
Validé92
npx skills add AIsa-team/agent-skills --skill stock-analysis
Sécurité de la commande d’installation
Validé92
Chemin d’installation standard de package ou runtime
Surface de permissions
Échoué36
secrets or environment access, shell or command execution
Preuve du dépôt
Validé86
https://github.com/AIsa-team/agent-skills/tree/main/financial/stock-analysis
État de revue
Info66
Données de revue IA disponibles
Résultats prouvés par Agent
Info54
Pas encore de données de résultats Agent
Vérifications
Revue d’installation et d’adoption
Chemin d’installation
92
npx skills add AIsa-team/agent-skills --skill stock-analysis
Dépôt
88
https://github.com/AIsa-team/agent-skills/tree/main/financial/stock-analysis
Licence
86
Apache-2.0
Maintenance
88
1 mois depuis le dernier push
Revue IA
55
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`).
Complétude README/SKILL.md
86
Usable description available
Risque de dépendances
46
command execution surface, credential or environment access
Sécurité de la commande d’installation
92
Chemin d’installation standard de package ou runtime
Surface de permissions
36
secrets or environment access, shell or command execution
Activité stars/forks
43
25 stars et 6 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Adoption
42
25 stars GitHub
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Avertissements
- 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
Méthode
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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