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 skills/goondocks-co/open-agent-kit/swarmnpx skills add goondocks-co/open-agent-kit --skill swarmgit clone --depth 1 https://github.com/goondocks-co/open-agent-kitWrote 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/goondocks-co/open-agent-kit/swarm)<a href="https://agentmods.dev/skills/goondocks-co/open-agent-kit/swarm"><img src="https://agentmods.dev/badge/skills/goondocks-co/open-agent-kit/swarm.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 | $0.00095 | $0.01302 |
| Opus 5 | $0.00048 | $0.00651 |
| Sonnet 5 | $0.00019 | $0.00260 |
| Haiku 4.5 | $0.00010 | $0.00130 |
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 5d 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 — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Swarm
The swarm is a federation of teams across your organization. Each team is a project with its own machine and developer nodes — its own memories, sessions, plans, and codebase knowledge. The swarm connects these teams so you can search and retrieve knowledge from all of them at once.
Use MCP tools (swarm_search, swarm_fetch, swarm_nodes, swarm_status)
to access collective knowledge. If MCP tools are not available, fall back to
the CLI commands shown below.
Architecture at a Glance
Organization Swarm
├── Team A (this project)
│ ├── Node: developer laptop
│ └── Node: CI server
├── Team B (api-service)
│ └── Node: developer laptop
└── Team C (mobile-app)
├── Node: developer laptop
└── Node: staging server
- Swarm = organization-level federation of teams
- Team = a single project (has its own
.oak/ci/activities.db) - Node = a machine running the team daemon within a project
The swarm aggregates knowledge across teams. The team federates tool calls across nodes within one project. This skill is for the swarm layer.
When to Use Swarm vs Team
| Question | Use Team (oak) |
Use Swarm |
|---|---|---|
| How does auth work in this project? | oak_search |
|
| How do we handle auth across projects? | swarm_search |
|
| What patterns exist org-wide for error handling? | swarm_search |
|
| What was decided about our API design? | oak_search |
|
| What API conventions do other teams follow? | swarm_search |
|
| What depends on this module locally? | oak_context |
|
| Which other projects depend on our shared library? | swarm_search |
Rule of thumb: Team = "this project", Swarm = "the organization".
Quick Start
Search then Fetch (primary workflow)
The two-step pattern keeps responses focused — search returns summaries with IDs, fetch returns full content for the items you care about.
# 1. Search across all connected teams
swarm_search(query="retry with exponential backoff", search_type="memory")
# 2. Get full details for specific results
swarm_fetch(ids=["chunk-id-from-search"], project_slug="api-service")
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.
- 5d ago First seen · 172 lines · 95 tokens per session scan A 06d500cc6f98
swarm is a skill published in the GitHub repository goondocks-co/open-agent-kit (10 stars, last pushed 1mo ago), licensed MIT. It adds 95 tokens to every session and 1,302 once invoked, about $0.0005 per session on Opus 5. 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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