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/calven-ai/demoverse/setupnpx skills add calven-ai/demoverse --skill setupgit clone --depth 1 https://github.com/calven-ai/demoverseWrote 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/calven-ai/demoverse/setup)<a href="https://agentmods.dev/skills/calven-ai/demoverse/setup"><img src="https://agentmods.dev/badge/skills/calven-ai/demoverse/setup.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 | $0.00079 | $0.00882 |
| Opus 5 | $0.00039 | $0.00441 |
| Sonnet 5 | $0.00016 | $0.00176 |
| Haiku 4.5 | $0.00008 | $0.00088 |
Grade A, and why
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 5d 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/setup: from fresh clone to living world
Execute Part 2 of AGENTS.md (the onboarding playbook). It is the canonical script for this skill. Operational notes for Claude Code:
Flow control
- Work one step at a time, confirming completion before moving on. Every
step is resumable: on entry, check what already exists (
config/*.yaml,state/world.json,.env) and skip or offer to amend done steps. - Use AskUserQuestion for each interview topic (Step 1). Ask one topic per question round, with concrete suggested options where possible. Whenever the user is unsure, offer to invent plausible details from their one-line seed idea and show them for approval.
- If
config/world.yamlexists on entry, STOP and ask: amend the existing world, or reset withnpm run init -- --force. Explain that it clears the local world and derived state, and print its external-purge guidance.
Writing the config (Step 2)
- Copy each template from
config/templates/toconfig/and fill it from the interview. Keep every key; the zod schemas are the contract. prose.yaml: default to the shipped generic banks, then offer to tailornarrative_anglesandobjection_themesto the invented product. This is recommended. 10 minutes of tailoring is the single biggest realism win.connectors.yaml: leave every connectorenabled: falseat this stage.- Before
init, show a one-screen summary table (company, modules, competitors, segments, team size, pricing band) and get an explicit confirm.
Validation + first light (Steps 3–4)
npm run init # zod-validates everything; loop back on errors
npm run apply -- --weeks=1 --dry-run # show the user the plan
npm run pipeline # the real first increment
Fill ONE emitted prompt yourself as the hello-world. Inline is fine for this
single artifact, and it doubles as showing the user what the prompts look like.
Then run npm run apply -- --ingest and npm run lint. Show the user the filed
artifact in state/content/.
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.
- 5d ago First seen · 77 lines · 79 tokens per session scan A 0179b51c5717
setup is a skill published in the GitHub repository calven-ai/demoverse (2 stars, last pushed yesterday), licensed MIT. It adds 79 tokens to every session and 882 once invoked, about $0.0004 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 2026-08-31.
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