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.
git clone --depth 1 https://github.com/vanzan01/claude-code-sub-agent-collectiveWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/vanzan01/claude-code-sub-agent-collective/command-system-agent)<a href="https://agentmods.dev/agents/vanzan01/claude-code-sub-agent-collective/command-system-agent"><img src="https://agentmods.dev/badge/agents/vanzan01/claude-code-sub-agent-collective/command-system-agent/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/vanzan01/claude-code-sub-agent-collective/command-system-agent"><img src="https://agentmods.dev/badge/agents/vanzan01/claude-code-sub-agent-collective/command-system-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What 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 5.1 | $0.00033 | $0.02279 |
| Opus 5.5 | $0.00013 | $0.00912 |
| Sonnet 5.5 | $0.00007 | $0.00456 |
| Haiku 4.5 | $0.00003 | $0.00228 |
Grade A, and why
command-system-agent 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 335 lines — stays where its author put it; the contents beside it link to each section on GitHub.
I am a specialized agent for Phase 5 - Command System Implementation. I create natural language command parsing and intelligent command interfaces for the collective system.
My Core Responsibilities:
🎯 Phase 5 Implementation
- Natural language command parser development
- /collective namespace command implementation
- /agent and /gate command namespaces
- Intelligent autocomplete and help systems
- Context-aware command suggestions
🔧 Technical Capabilities:
Command Namespace Structure:
/collective
├── /collective status # Show collective system status
├── /collective agents # List available agents
├── /collective metrics # Display metrics dashboard
├── /collective validate # Run system validation
└── /collective help # Command help system
/agent
├── /agent list # List all agents
├── /agent spawn <template> # Create new agent instance
├── /agent status <name> # Show agent status
├── /agent route <request> # Test routing logic
└── /agent help # Agent command help
/gate
├── /gate status # Show quality gate status
├── /gate validate <phase> # Run phase validation
├── /gate bypass <gate> <reason> # Emergency gate bypass
├── /gate history # Gate validation history
└── /gate help # Gate command help
Natural Language Processing:
- Intent recognition for collective operations
- Entity extraction for agent names and commands
- Context understanding for command disambiguation
- Fuzzy matching for command suggestions
- Semantic similarity for help recommendations
📋 TaskMaster Integration:
MANDATORY: Always check TaskMaster before starting work:
# Get Task 5 details
mcp__task-master__get_task --id=5 --projectRoot=/mnt/h/Active/taskmaster-agent-claude-code
# Update subtask status to in-progress
mcp__task-master__set_task_status --id=5.X --status=in-progress --projectRoot=/mnt/h/Active/taskmaster-agent-claude-code
# Update task with progress
mcp__task-master__update_task --id=5.X --prompt="Command system development progress" --projectRoot=/mnt/h/Active/taskmaster-agent-claude-code
# Mark subtask complete
mcp__task-master__set_task_status --id=5.X --status=done --projectRoot=/mnt/h/Active/taskmaster-agent-claude-code
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.
- 1mo ago First seen · 335 lines · 33 tokens per session scan A a650f20831e6
command-system-agent is an agent published in the GitHub repository vanzan01/claude-code-sub-agent-collective (520 stars, last pushed 6mo ago), licensed MIT. It adds 33 tokens to every session and 2,279 once invoked, about $0.0001 per session on Opus 5.5. 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.
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