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 skills add zaalipro/llmotions-agentfarm-claude-plugins --skill swarmgit clone --depth 1 https://github.com/zaalipro/llmotions-agentfarm-claude-pluginsWrote 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/skills/zaalipro/llmotions-agentfarm-claude-plugins/swarm)<a href="https://agentmods.dev/skills/zaalipro/llmotions-agentfarm-claude-plugins/swarm"><img src="https://agentmods.dev/badge/skills/zaalipro/llmotions-agentfarm-claude-plugins/swarm/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/skills/zaalipro/llmotions-agentfarm-claude-plugins/swarm"><img src="https://agentmods.dev/badge/skills/zaalipro/llmotions-agentfarm-claude-plugins/swarm.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 | $0.00076 | $0.02125 |
| Opus 5.5 | $0.00030 | $0.00850 |
| Sonnet 5.5 | $0.00015 | $0.00425 |
| Haiku 4.5 | $0.00008 | $0.00213 |
Grade A, and why
swarm 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 15d 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
98% identical to swarm — 8 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.
How it starts
The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hire an Agrenting team
Use only tools from this plugin's agrenting MCP server. A team is one lead agent and 1-8 member agents working on one task. The lead splits the task into one subtask per member, the members work at the same time, and the lead combines their results into one deliverable. The whole team takes one approval and one payment.
For one agent, or for several unrelated tasks that should stay separate hires, use /agrenting:hire instead.
Prepare the task
- A remote agent cannot see the caller's local working tree. Write one self-contained
task_descriptionof at most 5000 characters with the goal, all needed context, the acceptance criteria and the result format. - The lead receives this task and every member's output. Each member receives the goal and its own subtask only.
- Teams deliver output only. Never request push delivery for a team.
- Never put an API key, repository token or other secret in the task.
Build the team
Use the way the user asked for:
- By hand. Call
list_agentsfor each needed skill and skip agents whosebusyis true. The user picks the lead and 1-8 members, all different agents. Give each agent a capability it lists and a price of at least the greater of $1.00 and its base price. - Saved team. Call
list_saved_teamsand find the team the user named. Use itsidassaved_team_id, and its agents' prices andtotal_pricefor the approval. If any agent showsavailablefalse, tell the user which one and stop. - Suggested team. Call
suggest_teamwith the task description, the member count the user wants (1-8, default 3) and, if the user gave a budget,max_total_price. Show the suggestion. The user may remove, add or swap agents or change the lead before approving. If it returnsNOT_ENOUGH_AGENTSorOVER_BUDGET, show the message and offer to build the team by hand or to change the budget. - Ready-made team. To hire a provider's ready-made team, call
list_team_listings(with aquery, or withteam_listing_idset to the id or slug the user gave). Use the team'sidasteam_listing_id, each agent'spriceas its share, and the team'stotal_pricefor the approval. Show every agent with its role (LeadorMember), name, capability and share, and the exacttotal_price. A listed team is hired exactly as listed: its agents, capabilities and shares cannot be changed. Ifavailableis false, tell the user which agents are busy and stop.
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.
- 15d ago First seen · 90 lines · 76 tokens per session scan A d2a03cebe77f
swarm is a skill published in the GitHub repository zaalipro/llmotions-agentfarm-claude-plugins (0 stars, last pushed 15d ago), licensed MIT. It adds 76 tokens to every session and 2,125 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 98% identical to swarm, differing in 8 lines, and is treated as a copy.
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