Borrowing it
Nothing to install: this file belongs to calven-ai/demoverse. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/calven-ai/demoverse/main/AGENTS.mdgit 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/instructions/calven-ai/demoverse/agents-md)<a href="https://agentmods.dev/instructions/calven-ai/demoverse/agents-md"><img src="https://agentmods.dev/badge/instructions/calven-ai/demoverse/agents-md/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/instructions/calven-ai/demoverse/agents-md"><img src="https://agentmods.dev/badge/instructions/calven-ai/demoverse/agents-md.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 | $0.03517 | $0.03517 |
| Opus 5.5 | $0.01407 | $0.01407 |
| Sonnet 5.5 | $0.00703 | $0.00703 |
| Haiku 4.5 | $0.00352 | $0.00352 |
Grade A, and why
demoverse AGENTS.md 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 20d 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 — 248 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md: how a coding agent drives Demoverse
Demoverse is operated by a coding agent. The deterministic TypeScript engine does the mechanical work; the agent does the judgment and the prose. This file is the contract for that handoff, for any agent tool (Claude Code, Codex, Cursor, Copilot, …): Part 1 is the engine contract and the core loop, Part 2 takes a new user from a fresh clone to a living world, Part 3 has per-tool notes.
Part 1: The engine contract
The split (don't cross it)
The engine owns everything structural: ledger I/O, ids and referential
integrity, the simulation clock and trends, sampling accounts, contacts, deals
and competitors, schema validation, the coherence lint, reports, and reconcile
into CRM, Drive and Slack. You own two things: writing the prose for each
emitted request, and, when the operator sets new direction, updating
state/directives.md + state/trends.json. You never hand-edit
state/world.json.
The generation-request protocol (the core loop)
By default this loop runs unattended: .github/workflows/pipeline-update.yml
runs steps 1-4 weekly through Claude Code, then reconciles and commits itself
(see docs/automation.md). Run it by hand for an extra week, a nudge, or a
repo without Actions.
- Plan. Run
npm run pipelinefor one living increment on demand (it equalsnpm run apply -- --weeks=1). Plainnpm run applygenerates only the periods the real calendar has produced, and-- --backfillcovers the first big run. The engine advances the world: a couple of new deals, each open deal moved along its own cycle (usually one stage, more for a short deal, none at all for one that has gone quiet), closes for the deals whose cycle is up. Then it writes a request bundle holding only the touch points those events earned, 1–3 per deal. Never a deal's whole history; that is what--backfill-touchpointsis for.state/requests/<periodIndex>/manifest.json # index of all requests state/requests/<periodIndex>/<artifactId>.prompt.md state/requests/<periodIndex>/results/ # ← you write here - Fill. Each
.prompt.mdis fully grounded in the exact ledger facts. For every request inmanifest.json, read the prompt and write the result:output: markdown→ writeresults/<artifactId>.md(the artifact body).output: slack_messages→ writeresults/<artifactId>.jsonas{"messages":[{"personaHandle":"…","text":"…"}, …]}.output: email_thread→ writeresults/<artifactId>.jsonas{"emails":[{"from":"…","to":["…"],"subject":"…","body":"…","date":"YYYY-MM-DD","contactRef":"…"}, …]}(one object per message, in send order).
- Ingest. Run
npm run apply -- --ingest --reconcile. The engine validates each result, files markdown intostate/content/, attaches Slack messages and email threads onto their artifacts, and reconciles into every connector that is enabled and has credentials. Anything that fails validation staysplannedand reappears in the next bundle. Refill it and re-ingest. - Verify. Run
npm run lint. Fix anyerrorfindings by editing the result and re-ingesting. The cause is usually a missing competitor name or win/loss reason in the prose.
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.
- 20d ago Changed · +3 lines · +65 tokens per session d835dd6d1994
- 21d ago Changed · +12 lines · +186 tokens per session da1071c59fe4
- 1mo ago First seen · 233 lines · 3,266 tokens per session scan A eaa8a19a0478
demoverse AGENTS.md is an instructions file published in the GitHub repository calven-ai/demoverse (6 stars, last pushed 4d ago), licensed MIT. It adds 3,517 tokens to every session, about $0.0141 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.