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 drn/dots --skill orchestrategit clone --depth 1 https://github.com/drn/dotsWrote 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/drn/dots/orchestrate)<a href="https://agentmods.dev/skills/drn/dots/orchestrate"><img src="https://agentmods.dev/badge/skills/drn/dots/orchestrate/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/drn/dots/orchestrate"><img src="https://agentmods.dev/badge/skills/drn/dots/orchestrate.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 | $0.00088 | $0.02711 |
| Opus 5.5 | $0.00035 | $0.01084 |
| Sonnet 5.5 | $0.00018 | $0.00542 |
| Haiku 4.5 | $0.00009 | $0.00271 |
Grade A, and why
orchestrate 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 — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Orchestrate: Tiered Planning + Implementation
Run the expensive top-tier session model only where it earns its cost — planning, decomposition, orchestration, and final integration — and fan implementation out through the Workflow tool to model-tiered subagents: Sonnet for routine work, Opus for complex work.
The top-tier planner/orchestrator is the session model — Fable when it is available, Opus when Fable is not. Planning runs in the main loop, so it automatically uses whichever model the session is on; no detection step is needed.
Invoking this skill is the explicit opt-in the Workflow tool requires.
Arguments
$ARGUMENTS— required: description of the feature or change to build, or a path to a plan/spec file.
If no arguments are provided, ask the user what to build and stop.
Context
- Current branch: !
git branch --show-current 2>/dev/null | head -1 - Git status: !
git status --short 2>/dev/null | head -20 - Project type: !
find . -maxdepth 1 \( -name go.mod -o -name package.json -o -name Cargo.toml -o -name pyproject.toml -o -name Gemfile -o -name Makefile \) 2>/dev/null | head -6 - Recent commits: !
git log --oneline -5 2>/dev/null | head -5
Step 1: Plan in the Main Loop
You (the session model) are the planner and orchestrator. Do NOT delegate planning to a cheaper model, and do NOT implement the tasks yourself.
- Understand the task. Explore the codebase and read the files the change will touch. For large or unfamiliar codebases, fan out scouting to Explore subagents first.
- Decompose into work items. Each work item needs:
- id — short slug, e.g.
api-endpoint - prompt — fully self-contained: file paths, existing conventions to follow, exact success criteria, and the instruction to run a sanity check (compile/lint) before finishing. Subagents have no conversation history; the prompt is everything they know.
- tier —
sonnetoropus(rubric below) - files — the files this item owns
- id — short slug, e.g.
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 First seen · 164 lines · 88 tokens per session scan A cdfdb31abd0d
orchestrate is a skill published in the GitHub repository drn/dots (23 stars, last pushed 11d ago), licensed MIT. It adds 88 tokens to every session and 2,711 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 2026-08-30.
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