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/airmcp-com/mcp-standardsWrote 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/airmcp-com/mcp-standards/swarm-init)<a href="https://agentmods.dev/commands/airmcp-com/mcp-standards/swarm-init"><img src="https://agentmods.dev/badge/commands/airmcp-com/mcp-standards/swarm-init.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 | $0.00116 |
| Opus 5 | $0.00000 | $0.00058 |
| Sonnet 5 | $0.00000 | $0.00023 |
| Haiku 4.5 | $0.00000 | $0.00012 |
Grade A, and why
swarm-init 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 4d 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 swarm-init — 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
swarm-init
Initialize a new swarm with specified topology.
Usage
npx claude-flow swarm init [options]
Options
--topology <type>- Swarm topology (mesh, hierarchical, ring, star)--max-agents <n>- Maximum agents--strategy <type>- Distribution strategy
Examples
npx claude-flow swarm init --topology mesh
npx claude-flow swarm init --topology hierarchical --max-agents 8
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.
- 4d ago First seen · 20 lines · 0 tokens per session scan A bbdd2112670b
swarm-init is a command published in the GitHub repository airmcp-com/mcp-standards (3 stars, last pushed 9mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 116 tokens. A static security scan graded it A with 0 findings. It is 100% identical to swarm-init, differing in 0 lines, and is treated as a copy.
Other commands, from other repositories
auto
An automated coding workflow runs a software task from planning through code changes, checks, and a pull request. A pull request is a proposed change for review before it is merged into the main codebase.
sync
A command that pulls the latest code from the main Git branch and updates the project's key planning and instruction documents to match it.
evolve
Cluster related instincts into skills, commands, or agents.
next-task
A command that checks a coding project and prepares the next task. It reads project notes, Git history, changed files, and task checkboxes to find progress and the next unfinished work.
suggest-automation
A command that reviews recent Git commits and project instructions to find work patterns that happen repeatedly.
verify-loop
A command that repeatedly checks recent code changes and tries to fix failures, with a configurable retry limit. It can run code review, builds, tests, linting, and type checks according to the project language.