security-watchdog

Skillforge

Skill packs for Claude Code and other LLM agent systems, published by Entelligentsia.

Available Packages

Package	Type	Description
forge	Meta-generator	Self-enhancing AI software development lifecycle — scans your codebase, generates project-specific workflows, personas, templates, and tools
security-watchdog	Security plugin	Auto-scans newly installed/updated Claude Code plugins for prompt injection, malicious hook scripts, and data exfiltration
design-patterns	Reference skills	Canonical software design patterns — all 23 GoF + enterprise/DDD patterns (10 skills)
llm-patterns	Reference skills	LLM integration patterns — RAG, tool use, agents, guardrails, tool synthesis (9 skills)
meta-webxr-skills	Reference skills	Meta Quest PWA XR engineering (8 skills)
threejs-skills	Reference skills	Three.js 3D development (10 skills)

Installation (Claude Code)

/plugin marketplace add Entelligentsia/skillforge

Then install whichever packs you need:

/plugin install security-watchdog@skillforge
/plugin install design-patterns@skillforge
/plugin install llm-patterns@skillforge
/plugin install threejs-skills@skillforge
/plugin install meta-webxr-skills@skillforge
/reload-plugins

Forge

Forge has its own repository. See Entelligentsia/forge for installation instructions.

Forge

Forge is different from the reference skill packages. Instead of loading knowledge into context, it generates a complete project-specific engineering practice: agent personas, workflows, templates, review checklists, and tools — all tailored to your stack.

/forge init          # Bootstrap SDLC into your project
/sprint-plan         # Start your first sprint (generated command)
/engineer ACME-S01-T01   # Plan a task (generated command)

See Entelligentsia/forge for the full vision and design.

Skills Index

security-watchdog

Skill / Command	Purpose
/security-watchdog:scan-plugin <plugin-id>	Scan any installed plugin for prompt injection, malicious hooks, and data exfiltration
plugin-security	Threat model and heuristics reference — attack taxonomy, severity guide, detection patterns

Runs automatically via SessionStart hook: detects newly installed or updated plugins and prompts Claude to scan before your first request.

design-patterns

Skill	Patterns Covered
pattern-selection	Entry point — decision tree mapping pain to pattern
creational	Singleton, Builder, Factory Method, Abstract Factory, Prototype
structural	Adapter, Facade, Decorator, Proxy, Composite, Flyweight, Bridge
behavioural	Chain of Responsibility, Command, Strategy, State, Observer, Memento, Mediator, Visitor, Iterator, Template Method
domain-modeling	Entity, Value Object, Aggregate, Aggregate Root
data-access	Repository, Unit of Work, Data Mapper, Active Record
service-layer	Application Service, Domain Service, Service Layer
domain-events	Domain Events, Transactional Outbox, eventual consistency
cqrs	Commands, Queries, Read Models, Projections
anti-corruption	Anti-Corruption Layer, Gateway, Strangler Fig

llm-patterns

Skill	Pain It Removes
pattern-selection	Entry point — decision tree for LLM integration patterns
structured-generation	Output breaks parsers, violates schemas, varies in shape
rag	LLM hallucinates, lacks domain knowledge, gives stale answers
tool-use	LLM needs live data, calculations, or side effects
agent-loop	Task requires autonomous multi-step reasoning
guardrails	Output contains harmful content, PII, or policy violations
prompt-engineering	Prompts are ad-hoc, untested, unversioned
graceful-degradation	Model is down, slow, or over budget
evaluation-harness	No way to measure quality or detect regressions
tool-synthesis	LLM called repeatedly for tasks codifiable as deterministic tools

meta-webxr-skills