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Skills IA Tests et sécurité

Découvrez les skills Tests et sécurité, comparez leurs dépôts et consultez leurs instructions.

Catégories: Tests et sécurité

53,785–53,808 sur 81,973

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GitHub

spring-boot-reviewer

physics91

WHEN: Spring Boot code review, DI patterns, @Transactional, REST API design, security configuration WHAT: Dependency injection + Transaction management + API design + Security config + JPA patterns WHEN NOT: Ko...

GitHub

terraform-reviewer

physics91

WHEN: Terraform code review, module structure, state management, security policies WHAT: Module organization + State backend + Security policies + Variable validation + Best practices WHEN NOT: Kubernetes → k8s...

GitHub

schema-reviewer

physics91

WHEN: Database schema review, table design, normalization, constraints, index planning WHAT: Normalization analysis + Constraint validation + Index strategy + Data types + Relationship design WHEN NOT: Query op...

GitHub

django-reviewer

physics91

WHEN: Django project review, ORM queries, views/templates, admin customization WHAT: ORM optimization + View patterns + Template security + Admin config + Migration safety WHEN NOT: FastAPI → fastapi-reviewer,...

GitHub

context-manager

physics91

WHEN: Context setup, token optimization, MCP/agent configuration requests WHAT: Project analysis + Preset recommendation + MCP server selection + Agent activation + Config generation WHEN NOT: Status check only...

GitHub

options-strategies

keith-mvs

Expert-level options trading framework for multi-leg strategy design, quantitative modeling, and programmatic execution using Alpaca Markets APIs. Covers straddles, butterflies, spreads, iron condors, and calen...

GitHub

long-straddle

keith-mvs

Analyzes long straddle volatility plays with ATM call and put at same strike. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting large price movement in either direction...

GitHub

iron-butterfly

keith-mvs

Analyzes iron butterfly credit spreads with ATM short straddle and OTM long strangle protection. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting stock to pin at speci...

GitHub

credit-risk

keith-mvs

Assess credit risk and default probability for bonds using credit spreads, rating transitions, and recovery analysis. Requires numpy>=1.24.0, pandas>=2.0.0, scipy>=1.10.0. Use when evaluating corporate bonds, a...

GitHub

married-put-strategy

keith-mvs

Analyzes and implements married-put options strategies for portfolio protection. Calculates breakeven points, profit/loss scenarios, and compares strike prices (ITM, ATM, OTM) across multiple expiration cycles....

GitHub

covered-call

keith-mvs

Implement covered call options strategy for income generation on long stock positions. Use when seeking to enhance returns through option premium collection while maintaining stock ownership. Covers structure,...

GitHub

iron-condor

keith-mvs

Analyzes iron condor credit spreads with OTM put and call spreads for range-bound trading. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting sideways price action, want...

GitHub

bond-benchmarking

keith-mvs

Compare bond performance against market benchmarks and indices. Analyzes yield spreads, duration matching, and relative value. Requires numpy>=1.24.0, pandas>=2.0.0. Use when evaluating bonds against peers, mea...

GitHub

financial-analysis

keith-mvs

Comprehensive financial statement analysis including ratio calculation, trend analysis, and peer comparison. Evaluates liquidity, profitability, efficiency, and leverage metrics. Requires numpy>=1.24.0, pandas>...

GitHub

bond-pricing

keith-mvs

Price fixed income securities using present value, yield-to-maturity, and market conventions. Handles treasuries, corporates, municipals with various coupon frequencies. Requires numpy>=1.24.0, pandas>=2.0.0, s...

GitHub

long-call-butterfly

keith-mvs

Analyzes long call butterfly spreads with 3 strikes and 4 legs for neutral outlook. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting minimal price movement, want low-c...

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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