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/yonatangross/orchestkit/agent-orchestrationnpx skills add yonatangross/orchestkit --skill agent-orchestrationgit clone --depth 1 https://github.com/yonatangross/orchestkitWrote 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/yonatangross/orchestkit/agent-orchestration)<a href="https://agentmods.dev/skills/yonatangross/orchestkit/agent-orchestration"><img src="https://agentmods.dev/badge/skills/yonatangross/orchestkit/agent-orchestration.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 | $0.00056 | $0.02530 |
| Opus 5 | $0.00028 | $0.01265 |
| Sonnet 5 | $0.00011 | $0.00506 |
| Haiku 4.5 | $0.00006 | $0.00253 |
Grade A, and why
agent-orchestration 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 2d 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 — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Orchestration
Comprehensive patterns for building and coordinating AI agents -- from single-agent reasoning loops to multi-agent systems and framework selection. Coordination and multi-scenario categories have individual rule files in rules/ loaded on-demand; loop and framework tutorials live upstream (see Upstream coverage), with house defaults in references/ork-delta.md.
CC native
/workflows(2.1.154): Claude Code now ships dynamic workflows — ask Claude to create a workflow and it orchestrates tens-to-hundreds of agents in the background; view runs with/workflows. This is complementary to the patterns here: use CC/workflowsfor large-scale, fire-and-forget background fan-out (you check back later); use the bounded foreground Agent Teams / Task-tool patterns below when ≤8 agents must coordinate within a single skill invocation via shared memory (handoff files, mesh messaging). Different scale, not a replacement.Ask only when genuinely blocked (CC 2.1.154): CC now reserves the multiple-choice question prompt for decisions it genuinely cannot make itself, rather than asking when it already has enough context to proceed. When orchestrating agents, don't gate progress on an
AskUserQuestionthe lead can resolve from available context — reserve prompts for true branch points (irreversible actions, missing requirements). This complements ork's voice-friendly decision guidance.
Quick Reference
| Category | Rules | Impact | When to Use |
|---|---|---|---|
| Agent Loops | upstream | HIGH | ReAct reasoning, plan-and-execute, self-correction |
| Multi-Agent Coordination | 2 | CRITICAL | Supervisor routing, agent debate, result synthesis |
| Alternative Frameworks | upstream | HIGH | CrewAI crews, AutoGen teams, framework comparison |
| Multi-Scenario | 2 | MEDIUM | Parallel scenario orchestration, difficulty routing |
What ships with it
16 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- checklists/framework-selection.md 2.0 KB
- metadata.json 596 B
- references/claude-code-instance-management.md 17 KB
- references/framework-comparison.md 3.9 KB
- references/langgraph-implementation.md 20 KB
- references/ork-delta.md 3.1 KB
- rules/_sections.md 1009 B
- rules/_template.md 339 B
- rules/multi-debate.md 4.3 KB
- rules/multi-supervisor.md 6.9 KB
- rules/scenario-orchestrator.md 7.0 KB
- rules/scenario-routing.md 6.7 KB
- scripts/agent-workflow-template.ts 11 KB runs code
- scripts/crewai-crew.py 11 KB runs code
- scripts/openai-multi-agent.py 14 KB runs code
- test-cases.json 2.0 KB
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.
- 2d ago First seen · 216 lines · 56 tokens per session scan A f30b08ed80ca
agent-orchestration is a skill published in the GitHub repository yonatangross/orchestkit (228 stars, last pushed today), licensed MIT. It adds 56 tokens to every session and 2,530 once invoked, about $0.0003 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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