Rapport d’audit du skill
alphagbm-pnl-simulator Rapport d’audit.
P&L simulation engine for any single-leg or multi-leg option position. Generates profit/loss diagrams at expiry, P&L over time, what-if scenarios (price, IV, time), breakeven analysis, and probability distributions. Use when: testing a trade idea, visualizing risk/reward, running what-if scenarios, checking breakeven points, stress-testing a position. Triggers on: "simulate PnL for AAPL bull call spread", "what if NVDA drops 10%", "P&L diagram", "test my iron condor", "breakeven analysis", "stress test my position", "what happens at expiry".
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
Validé86
2.4K stars GitHub
Activité stars/forks
Validé83
2.4K stars et 284 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Maintenance récente
Validé100
29 jours depuis le dernier push
Clarté de licence
Validé86
MIT
Complétude README/SKILL.md
Validé86
Les métadonnées incluent suffisamment de contexte d’usage et de workflow
Risque dépendances/runtime
Info64
credential or environment access, network or browser surface
Disponibilité de l’installation
Validé92
npx skills add AlphaGBM/skills --skill alphagbm-pnl-simulator
Sécurité de la commande d’installation
Validé92
Chemin d’installation standard de package ou runtime
Surface de permissions
Avertissement60
secrets or environment access, network or browser access
Preuve du dépôt
Validé86
https://github.com/AlphaGBM/skills/tree/main/skills/alphagbm-pnl-simulator
État de revue
Avertissement46
L’approbation de revue IA est absente
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 AlphaGBM/skills --skill alphagbm-pnl-simulator
Dépôt
88
https://github.com/AlphaGBM/skills/tree/main/skills/alphagbm-pnl-simulator
Licence
86
MIT
Maintenance
100
29 jours depuis le dernier push
Revue IA
55
Review approval is missing
Complétude README/SKILL.md
86
Usable description available
Risque de dépendances
64
credential or environment access, network or browser surface
Sécurité de la commande d’installation
92
Chemin d’installation standard de package ou runtime
Surface de permissions
60
secrets or environment access, network or browser access
Activité stars/forks
83
2.4K stars et 284 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Adoption
88
2.4K stars GitHub
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Avertissements
- Permission surface may require sandboxing
- Financial research output is not financial advice; require human review before any live investment decision
- L’approbation de revue IA est absente
- 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, network or browser access
- Permission surface: secrets or environment access, network or browser access
- Review status: AI review approval is missing
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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