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/thelobbi/claude/add-commandgit clone --depth 1 https://github.com/TheLobbi/claudeWhat 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 | $0.03402 |
| Opus 5 | $0.00000 | $0.01701 |
| Sonnet 5 | $0.00000 | $0.00680 |
| Haiku 4.5 | $0.00000 | $0.00340 |
Grade A, and why
add-command 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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 478 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Add Slash Command
Interactive wizard for creating new slash commands with comprehensive documentation, agent coordination workflows, usage examples, and integration with the existing agent ecosystem.
Purpose
Streamlines the creation of new slash commands by providing an interactive template-based wizard that ensures consistency, completeness, and integration with the RealmWorks architecture. Auto-generates command markdown with proper structure, agent coordination patterns, success criteria, and validation.
Multi-Agent Coordination Strategy
Uses guided creation pattern with interactive prompts, template generation, validation, and documentation.
Command Creation Architecture
``` ┌──────────────────────────────────────────────────┐ │ Command Creation Wizard │ │ (master-strategist) │ └────────────┬─────────────────────────────────────┘ │ ┌────────┼────────┬────────┬────────┬─────────┐ ▼ ▼ ▼ ▼ ▼ ▼ Prompt Template Agent Validate Doc Test User Generate Coord Gen ```
Execution Flow
Phase 1: Interactive Requirements Gathering (0-10 mins)
- requirements-gatherer - Interactive prompts for command details
- existing-command-analyzer - Analyze existing commands for patterns
- name-validator - Validate command name uniqueness
- category-selector - Determine command category
- agent-suggester - Suggest appropriate agents
Prompts:
- Command name (e.g.,
/my-command) - Command purpose (one-sentence description)
- Category (meta-tools, rpg, platform, devex, operations)
- Primary use case
- Target agents (from 23-agent ecosystem)
- Expected execution time
- Success criteria
Phase 2: Template Generation (10-20 mins)
- template-selector - Select appropriate command template
- structure-generator - Generate markdown structure
- agent-coordinator - Define agent coordination strategy
- execution-flow-builder - Build multi-phase execution flow
- example-generator - Generate realistic usage examples
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.
- yesterday First seen · 478 lines · 0 tokens per session scan A 17341139b316
add-command is a command published in the GitHub repository TheLobbi/claude (21 stars, last pushed 5d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,402 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 2026-08-31.
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