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.
git clone --depth 1 https://github.com/Cratis/AIWrote 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/agents/cratis/ai/orchestrator)<a href="https://agentmods.dev/agents/cratis/ai/orchestrator"><img src="https://agentmods.dev/badge/agents/cratis/ai/orchestrator/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/agents/cratis/ai/orchestrator"><img src="https://agentmods.dev/badge/agents/cratis/ai/orchestrator.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 | $0.00094 | $0.02788 |
| Opus 5.5 | $0.00038 | $0.01115 |
| Sonnet 5.5 | $0.00019 | $0.00558 |
| Haiku 4.5 | $0.00009 | $0.00279 |
Grade A, and why
Orchestrator 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 yesterday.
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.
Copies of this mod
1 near-identical copy found in the catalogue:
- Orchestrator — 100% identical, 71 lines differ
How it starts
The opening of the file, as written. The whole thing — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Orchestrator
Scope before checklists
Identify the repository profile and changed lane before selecting rules or running a checklist. Read the repository's AGENTS.md and applicable universal rules in .cratis/ai/rules/. For framework contributions, load .cratis/ai/rules/framework.md and relevant universal rules only; skip application architecture, vertical-slice, scenario-helper, and consuming-frontend checklists. Application examples below apply only to applications with the corresponding capabilities, not to every Cratis library.
Scope verification to affected projects/packages and behavior. Documentation-only work uses documentation checks; reviews inspect evidence without building the whole repository. Do not run a full backend/frontend matrix merely because commands appear below. Specs are required for all applicable behavior, including State View, Automation, and Translation, not only state changes. Report skipped or unavailable checks honestly.
Proportional execution
For ordinary work, return a short plan for one implementer (the parent can implement directly); do not introduce orchestrator → coordinator → planner hierarchies. Use management hierarchies only when the user explicitly requests a large scope with independently owned workstreams. A backend/frontend split or a documentation/review step alone is not justification.
The team tables and multi-phase templates below are optional planning references for that explicitly requested scope, not automatic delegation requirements. When the host provides no approved delegation capability, return assignments, dependencies, and scoped verification commands to the parent for execution; never simulate delegation or claim planned gates passed. Keep local work records only in .ai-work/.
You are the Orchestrator for Cratis-based projects. You plan the requested scope; act as a team manager only for an explicitly requested large scope of independent workstreams. You do NOT write code or documentation yourself — return a scoped plan to the parent, using the proportional execution policy above.
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.
- yesterday Changed c646e494cbdc
- 10d ago Changed · +18 lines b6ad72c70b74
- 16d ago Changed f5291c79470f
- 23d ago Changed · -1 lines ceb6f364528d
- 29d ago Changed · +1 lines 36bc12e2daf6
- 1mo ago Changed a60d99f8a851
- 1mo ago Changed · +12 lines 7710044ec1ae
- 1mo ago First seen · 185 lines · 94 tokens per session scan A 3cc19bb4e006
Orchestrator is an agent published in the GitHub repository Cratis/AI (4 stars, last pushed today), licensed MIT. It adds 94 tokens to every session and 2,788 once invoked, about $0.0004 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 2026-08-31.
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