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 kninetimmy/orch --skill orch-setupgit clone --depth 1 https://github.com/kninetimmy/orchWrote 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/kninetimmy/orch/orch-setup)<a href="https://agentmods.dev/skills/kninetimmy/orch/orch-setup"><img src="https://agentmods.dev/badge/skills/kninetimmy/orch/orch-setup/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/kninetimmy/orch/orch-setup"><img src="https://agentmods.dev/badge/skills/kninetimmy/orch/orch-setup.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 | $0.00071 | $0.01827 |
| Opus 5.5 | $0.00028 | $0.00731 |
| Sonnet 5.5 | $0.00014 | $0.00365 |
| Haiku 4.5 | $0.00007 | $0.00183 |
Grade A, and why
orch-setup 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 6d 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 — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Orch Setup
This skill drives any of the three orch <cmd> --step interviews. All
three speak the same stateless step-loop protocol
(internal/question): you resubmit everything known so far on every
step, and the core tells you what to do next.
State you hold
Maintain one AnswerSet across the whole interview:
{"schema_version": 2, "answers": {}}
Question wire schema_version is closed at 2 for both AnswerSet and
Document; reject any other Document before reading kind, questions, or
pagination. A rejected AnswerSet means the setup skill and orch binary are
out of date with each other; update the older side before retrying.
Resubmit it in full on every step — the core holds no session of its own. Never send a partial or incremental update.
The step loop
- Write the current
AnswerSetto a scratch file (asorch-deliverydoes: OS temp, outside the repo). - Run
orch <cmd> --step < <scratch-file>and parse thequestion.Documenton stdout. - Dispatch on
Document.kind:
kind: "questions"
Document.questions carries 1–4 independent Questions. If none carries
pagination, present them as one batched AskUserQuestion call. If any
question carries pagination, handle the document in order: ordinary questions
use one-question calls and each pagination page uses one call.
For a question without pagination, use its header and prompt as the
AskUserQuestion header/prompt, and list its options[] with each
option's label for display and description for detail. If an
option has recommended: true, say so in the description text (there
is no separate "recommended" UI affordance to rely on — put it in
words). If the question has a default, mention it in the description
of the matching option too.
When the human answers that ordinary question, record answers[question.id] = option.value
— the option's value, never its label. The label is display
text only; the value is what the core expects back.
What ships with it
1 file 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.
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.
- 6d ago Changed · +14 lines 6af16c537be6
- 19d ago Changed · +22 lines a81e306a15a2
- 2mo ago First seen · 133 lines · 71 tokens per session scan A 6771b4754158
orch-setup is a skill published in the GitHub repository kninetimmy/orch (22 stars, last pushed 6d ago), licensed MIT. It adds 71 tokens to every session and 1,827 once invoked, about $0.0003 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.
orch-setup compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| orch-setupkninetimmy/orch | Skill | 22 | 6d ago | MIT | A | 71 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |