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 PaulRBerg/agent-skills --skill orchestrationgit clone --depth 1 https://github.com/PaulRBerg/agent-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/paulrberg/agent-skills/orchestration)<a href="https://agentmods.dev/skills/paulrberg/agent-skills/orchestration"><img src="https://agentmods.dev/badge/skills/paulrberg/agent-skills/orchestration/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/paulrberg/agent-skills/orchestration"><img src="https://agentmods.dev/badge/skills/paulrberg/agent-skills/orchestration.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 | $0.00052 | $0.05671 |
| Opus 5.5 | $0.00021 | $0.02268 |
| Sonnet 5.5 | $0.00010 | $0.01134 |
| Haiku 4.5 | $0.00005 | $0.00567 |
Grade A, and why
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 1mo 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 — 382 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Orchestration
This skill delegates read-only investigation or plans and implements requested work within the current session. Task-handoff writes a decision-complete file for a fresh, separate session. Use it when work continues later or elsewhere. Use an in-session handoff skill to implement requested work now.
If a slash or dollar invocation already supplied these instructions in the conversation, follow them directly. In that case, do not invoke this skill again through a skill tool.
Follow the shared contract below. Select the worker family separately from the host that runs this conversation.
Host and Worker Selection
Identify the host from its callable tools. Codex exposes spawn_agent, wait_agent, send_message, and
followup_task. Claude Code exposes Agent and Bash. Do not infer the host from environment variables, process ancestry,
or a requested worker name. If neither surface identifies the host, classify it as another harness and use a CLI route.
Default to Claude workers in Claude Code. Default to Codex workers in Codex and every other harness. An explicit user choice overrides this default. Apply that choice to research and implementation unless the user limits its scope. A named model also selects its family: Sonnet or Opus selects Claude, and a GPT model selects Codex. Preserve an exact requested model, custom agent name, or effort instead of replacing it with a default tier.
Select the route from the actual host and requested worker family. Read the selected reference completely before launch:
| Host | Worker family | Route |
|---|---|---|
| Claude Code | Claude (default) | Native Claude |
| Codex | Codex (default) | Native Codex |
| Claude Code | Codex (explicit choice) | Claude to Codex |
| Codex | Claude (explicit choice) | Codex to Claude |
| Other harness | Codex (default) | Codex CLI |
| Other harness | Claude (explicit choice) | Claude CLI |
What ships with it
12 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.
- agents/openai.yaml 42 B
- references/claude-to-codex.md 17 KB
- references/codex-to-claude.md 7.6 KB
- references/jev-routing.md 12 KB
- references/native-claude.md 6.7 KB
- references/native-codex.md 9.4 KB
- references/progress-events.md 6.6 KB
- references/research-result.schema.json 686 B
- references/result.schema.json 1.2 KB
- scripts/run-codex-agent.sh 12 KB runs code
- scripts/select-model.py 9.9 KB runs code
- scripts/watch-codex-wave.sh 8.4 KB runs code
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.
- 1mo ago Changed · +13 lines 827a451635d2
- 1mo ago First seen · 369 lines · 52 tokens per session scan A 4d8e1a7551f5
orchestration is a skill published in the GitHub repository PaulRBerg/agent-skills (104 stars, last pushed 2d ago), licensed MIT. It adds 52 tokens to every session and 5,671 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-07.
orchestration compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| orchestrationPaulRBerg/agent-skills | Skill | 104 | 2d ago | MIT | A | 52 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 2d ago | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 315k | 5d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |