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 Jamie-BitFlight/claude_skills --skill swarm-patternsgit clone --depth 1 https://github.com/Jamie-BitFlight/claude_skillsWrote 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/jamie-bitflight/claude_skills/swarm-patterns)<a href="https://agentmods.dev/skills/jamie-bitflight/claude_skills/swarm-patterns"><img src="https://agentmods.dev/badge/skills/jamie-bitflight/claude_skills/swarm-patterns/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/jamie-bitflight/claude_skills/swarm-patterns"><img src="https://agentmods.dev/badge/skills/jamie-bitflight/claude_skills/swarm-patterns.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00073 | $0.04450 |
| Opus 5 | $0.00036 | $0.02225 |
| Sonnet 5 | $0.00015 | $0.00890 |
| Haiku 4.5 | $0.00007 | $0.00445 |
Grade A, and why
swarm-patterns 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 8d 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 — 588 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Swarm Patterns
Orchestration recipes for multi-agent workflows in Claude Code v2.1.45.
Pattern 1 -- Parallel Specialists (Leader Pattern)
Multiple specialists review code simultaneously:
// 1. Create team
TeamCreate({ team_name: "code-review" })
// 2. Spawn specialists in parallel (single message, multiple Task calls)
Agent({
team_name: "code-review",
name: "security",
subagent_type: "compound-engineering:review:security-sentinel",
prompt: "Review the PR for security vulnerabilities. Focus on SQL injection, XSS, auth bypass. Send findings to team-lead.",
run_in_background: true
})
Agent({
team_name: "code-review",
name: "performance",
subagent_type: "compound-engineering:review:performance-oracle",
prompt: "Review the PR for performance issues. Focus on N+1 queries, memory leaks, slow algorithms. Send findings to team-lead.",
run_in_background: true
})
Agent({
team_name: "code-review",
name: "simplicity",
subagent_type: "compound-engineering:review:code-simplicity-reviewer",
prompt: "Review the PR for unnecessary complexity. Focus on over-engineering, premature abstraction, YAGNI violations. Send findings to team-lead.",
run_in_background: true
})
// 3. Wait for results (messages arrive automatically)
// 4. Synthesize findings and cleanup
SendMessage({ type: "shutdown_request", recipient: "security", content: "Review complete" })
SendMessage({ type: "shutdown_request", recipient: "performance", content: "Review complete" })
SendMessage({ type: "shutdown_request", recipient: "simplicity", content: "Review complete" })
// Wait for approvals...
TeamDelete()
Pattern 2 -- Pipeline (Sequential Dependencies)
Each stage depends on the previous:
// 1. Create team and task pipeline
TeamCreate({ team_name: "feature-pipeline" })
TaskCreate({ subject: "Research", description: "Research best practices for the feature", activeForm: "Researching..." })
TaskCreate({ subject: "Plan", description: "Create implementation plan based on research", activeForm: "Planning..." })
TaskCreate({ subject: "Implement", description: "Implement the feature according to plan", activeForm: "Implementing..." })
TaskCreate({ subject: "Test", description: "Write and run tests for the implementation", activeForm: "Testing..." })
TaskCreate({ subject: "Review", description: "Final code review before merge", activeForm: "Reviewing..." })
// Set up sequential dependencies
TaskUpdate({ taskId: "2", addBlockedBy: ["1"] })
TaskUpdate({ taskId: "3", addBlockedBy: ["2"] })
TaskUpdate({ taskId: "4", addBlockedBy: ["3"] })
TaskUpdate({ taskId: "5", addBlockedBy: ["4"] })
// 2. Spawn workers that claim and complete tasks
Agent({
team_name: "feature-pipeline",
name: "researcher",
subagent_type: "compound-engineering:research:best-practices-researcher",
prompt: "Claim task #1, research best practices, complete it, send findings to team-lead. Then check for more work.",
run_in_background: true
})
Agent({
team_name: "feature-pipeline",
name: "implementer",
subagent_type: "general-purpose",
prompt: "Check TaskList periodically. When task #3 unblocks, claim it and implement. Then complete and notify team-lead.",
run_in_background: true
})
// Tasks auto-unblock as dependencies complete
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.
- 8d ago First seen · 588 lines · 73 tokens per session scan A 41383f1936a0
swarm-patterns is a skill published in the GitHub repository Jamie-BitFlight/claude_skills (66 stars, last pushed today), licensed MIT. It adds 73 tokens to every session and 4,450 once invoked, about $0.0004 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 2026-09-03.
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