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/overviewgit clone --depth 1 https://github.com/ruvnet/ruv-FANNWrote 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/commands/ruvnet/ruv-fann/overview)<a href="https://agentmods.dev/commands/ruvnet/ruv-fann/overview"><img src="https://agentmods.dev/badge/commands/ruvnet/ruv-fann/overview.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00392 |
| Opus 5 | $0.00000 | $0.00196 |
| Sonnet 5 | $0.00000 | $0.00078 |
| Haiku 4.5 | $0.00000 | $0.00039 |
Grade A, and why
overview 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 6d 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.
This is a copy
100% identical to overview — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Claude Code Hooks for claude-flow
Purpose
Automatically coordinate, format, and learn from Claude Code operations using hooks.
Available Hooks
Pre-Operation Hooks
- pre-edit: Validate and assign agents before file modifications
- pre-bash: Check command safety and resource requirements
- pre-task: Auto-spawn agents for complex tasks
Post-Operation Hooks
- post-edit: Auto-format code and train neural patterns
- post-bash: Log execution and update metrics
- post-search: Cache results and improve search patterns
MCP Integration Hooks
- mcp-initialized: Persist swarm configuration
- agent-spawned: Update agent roster
- task-orchestrated: Monitor task progress
- neural-trained: Save pattern improvements
Session Hooks
- notify: Custom notifications with swarm status
- session-end: Generate summary and save state
- session-restore: Load previous session state
Configuration
Hooks are configured in .claude/settings.json:
{
"hooks": {
"PreToolUse": [
{
"matcher": "^(Write|Edit|MultiEdit)$",
"hooks": [{
"type": "command",
"command": "npx claude-flow hook pre-edit --file '${tool.params.file_path}'"
}]
}
]
}
}
Benefits
- 🤖 Automatic agent assignment based on file type
- 🎨 Consistent code formatting
- 🧠 Continuous neural pattern improvement
- 💾 Cross-session memory persistence
- 📊 Performance metrics tracking
See Also
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.
- 6d ago First seen · 58 lines · 0 tokens per session scan A 756650fe0751
overview is a command published in the GitHub repository ruvnet/ruv-FANN (378 stars, last pushed 28d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 392 tokens. A static security scan graded it A with 0 findings. It is 100% identical to overview, differing in 0 lines, and is treated as a copy.
Other commands, from other repositories
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.
constitution
Create or update the project constitution from interactive or provided principle inputs.
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.