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/ruvnet/ruv-fann/spawngit clone --depth 1 https://github.com/ruvnet/ruv-FANNWhat 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 | $0.00332 |
| Opus 5 | $0.00000 | $0.00166 |
| Sonnet 5 | $0.00000 | $0.00066 |
| Haiku 4.5 | $0.00000 | $0.00033 |
Grade A, and why
spawn 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
Create Cognitive Patterns
🎯 Key Principle
This tool coordinates Claude Code's actions. It does NOT write code or create content.
MCP Tool Usage in Claude Code
Tool: mcp__ruv-swarm__agent_spawn
Parameters
{"type": "researcher", "name": "Literature Analysis", "capabilities": ["deep-analysis"]}
Description
Define cognitive patterns that represent different approaches Claude Code can take
Details
Agent types represent thinking patterns, not actual coders:
- researcher: Systematic exploration approach
- coder: Implementation-focused thinking
- analyst: Data-driven decision making
- architect: Big-picture system design
- reviewer: Quality and consistency checking
These patterns guide how Claude Code approaches different aspects of your task.
Example Usage
In Claude Code:
- Use the tool:
mcp__ruv-swarm__agent_spawn - With parameters:
{"type": "researcher", "name": "Literature Analysis", "capabilities": ["deep-analysis"]} - Claude Code then executes the coordinated plan using its native tools
Important Reminders
- ✅ This tool provides coordination and structure
- ✅ Claude Code performs all actual implementation
- ❌ The tool does NOT write code
- ❌ The tool does NOT access files directly
- ❌ The tool does NOT execute commands
See Also
- Main documentation: /claude.md
- Other commands in this category
- Workflow examples in /workflows/
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 · 46 lines · 0 tokens per session scan A d9f748d8e369
spawn is a command published in the GitHub repository ruvnet/ruv-FANN (378 stars, last pushed 25d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 332 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
git
Git operations with intelligent commit messages and workflow optimization.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.