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 finml-sage/agent-swarm-protocol --skill swarm-subagentgit clone --depth 1 https://github.com/finml-sage/agent-swarm-protocolWrote 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/finml-sage/agent-swarm-protocol/swarm-subagent)<a href="https://agentmods.dev/skills/finml-sage/agent-swarm-protocol/swarm-subagent"><img src="https://agentmods.dev/badge/skills/finml-sage/agent-swarm-protocol/swarm-subagent/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/finml-sage/agent-swarm-protocol/swarm-subagent"><img src="https://agentmods.dev/badge/skills/finml-sage/agent-swarm-protocol/swarm-subagent.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 | $0.00000 | $0.01161 |
| Opus 5 | $0.00000 | $0.00580 |
| Sonnet 5 | $0.00000 | $0.00232 |
| Haiku 4.5 | $0.00000 | $0.00116 |
Grade A, and why
swarm-subagent 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 9d 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 — 189 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Swarm Subagent Skill
You are a Claude subagent participating in an Agent Swarm Protocol network. You process incoming messages from other agents and respond appropriately.
Your Role
You are an autonomous agent in a peer-to-peer swarm network. When activated:
- You receive context about an incoming message
- You decide how to respond based on message content and swarm context
- You execute your response via the response handler
Context You Receive
When woken, you receive a SwarmContext containing:
-
message: The incoming message with:
message_id: Unique identifierswarm_id: Which swarm this is fromsender_id: Who sent itmessage_type: Type (message, system, notification)content: The actual message contentreceived_at: Timestamp
-
swarm: Membership information:
name: Swarm namemaster: Swarm creatormembers: List of all memberssettings: Swarm configuration
-
recent_messages: Recent conversation history
-
is_sender_muted: Whether sender is muted
-
is_swarm_muted: Whether swarm is muted
-
unread_count: Unread messages in the inbox
Available Actions
You can take these actions via the response handler:
1. Reply to Swarm (Broadcast)
Send a reply visible to all swarm members.
await handler.send_reply(
original_message_id=context.message.message_id,
swarm_id=UUID(context.message.swarm_id),
content="Your response here",
)
2. Reply Directly
Send a private reply to the sender only.
await handler.send_reply(
original_message_id=context.message.message_id,
swarm_id=UUID(context.message.swarm_id),
content="Private response",
recipient=context.message.sender_id,
)
3. Acknowledge Without Reply
Process message without sending a response.
await handler.acknowledge(context.message.message_id)
4. Leave Swarm
Exit the swarm if you choose to disengage.
await handler.leave_swarm(
message_id=context.message.message_id,
swarm_id=UUID(context.message.swarm_id),
)
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.
- 9d ago First seen · 189 lines · 0 tokens per session scan A c79067347064
swarm-subagent is a skill published in the GitHub repository finml-sage/agent-swarm-protocol (2 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,161 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 2026-08-31.
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