Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add commands/brennercruvinel/ccplugins/understandgit clone --depth 1 https://github.com/brennercruvinel/CCPluginsWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00000 | $0.00561 |
| Opus 5 | $0.00000 | $0.00280 |
| Sonnet 5 | $0.00000 | $0.00112 |
| Haiku 4.5 | $0.00000 | $0.00056 |
Grade A, and why
understand scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Understand Project
I'll analyze your entire application to understand its architecture, patterns, and how everything works together.
Phase 1: Project Discovery Using native tools for comprehensive analysis:
- Glob to map entire project structure
- Read key files (README, docs, configs)
- Grep to identify technology patterns
- Read entry points and main files
I'll discover:
- Project type and main technologies
- Architecture patterns (MVC, microservices, etc.)
- Directory structure and organization
- Dependencies and external integrations
- Build and deployment setup
Phase 2: Code Architecture Analysis
- Entry points: Main files, index files, app initializers
- Core modules: Business logic organization
- Data layer: Database, models, repositories
- API layer: Routes, controllers, endpoints
- Frontend: Components, views, templates
- Configuration: Environment setup, constants
- Testing: Test structure and coverage
Phase 3: Pattern Recognition I'll identify established patterns:
- Naming conventions for files and functions
- Code style and formatting rules
- Error handling approaches
- Authentication/authorization flow
- State management strategy
- Communication patterns between modules
Phase 4: Dependency Mapping
- Internal dependencies between modules
- External library usage patterns
- Service integrations
- API dependencies
- Database relationships
- Asset and resource management
Phase 5: Documentation Synthesis After analysis, I'll provide:
- Architecture diagram (in text/markdown)
- Key components and their responsibilities
- Data flow through the application
- Important patterns to follow
- Tech stack summary
- Development workflow
Integration Points: I'll identify how components interact:
- API endpoints and their consumers
- Database queries and their callers
- Event systems and listeners
- Shared utilities and helpers
- Cross-cutting concerns (logging, auth)
Output Format:
PROJECT OVERVIEW
├── Architecture: [Type]
├── Main Technologies: [List]
├── Key Patterns: [List]
└── Entry Point: [File]
COMPONENT MAP
├── Frontend
│ └── [Structure]
├── Backend
│ └── [Structure]
├── Database
│ └── [Schema approach]
└── Tests
└── [Test strategy]
KEY INSIGHTS
- [Important finding 1]
- [Important finding 2]
- [Unique patterns]
When the analysis is large, I'll create a todo list to explore specific areas in detail.
This gives you a complete mental model of how your application works.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago First seen · 88 lines · 0 tokens per session scan A 7bb8efbf9470
understand is a command published in the GitHub repository brennercruvinel/CCPlugins (2,780 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 561 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other commands, from other repositories
README
Git workflow and quality assurance commands for the claude-skills repository.
convert-to-todowrite-tasklist-prompt
Purpose: Transform verbose, context-heavy slash commands into efficient TodoWrite tasklist-based methods with parallel subagent execution for 60-70% speed improvements.
security-audit
Perform a comprehensive security audit of the codebase to identify potential vulnerabilities, insecure patterns, and security best practice violations.
statusbar-style
Switch the status-bar style (classic / capsule / hairline).
hunt
Active vulnerability hunt against a target by invoking tools/hunt.py (which calls vulnscanner.sh against recon/ /). Auto-runs recon first if no recon dir exists. Usage: /hunt target.com.
writing:review
Exhaustive parallel editorial review of written content.