demoverse: Instructions file for Codex

AGENTS.md

demoverse AGENTS.md is an instructions file for Codex, OpenCode from calven-ai/demoverse. It costs 3,517 tokens per session, scanned A, original, MIT.

A set of instructions for coding agents working with Demoverse, a TypeScript simulation where software handles structured world data and the agent writes the decisions and descriptions. It defines how the two parts exchange requests.

In plain words
What is it for?
Use it when an agent needs to operate Demoverse, follow its generation-request protocol, interpret directives, write responses, and update direction or trend files.
Why use it?
It prevents the agent from changing work that the engine should control, or leaving the engine to handle judgment and prose. It gives agents a consistent process for setting up and running a simulated world.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: reads .claude/ paths; mentions subagents; mentions Claude Code.

This is calven-ai/demoverse's own configuration. It tells Codex and OpenCode how to work on demoverse itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything demoverse configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/calven-ai/demoverse/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/calven-ai/demoverse

Made for: Codex, OpenCode.

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Per session 3,517 This file is loaded in full into every session.
When invoked 3,517 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 20d ago against content hash d835dd6d1994, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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.

AGENTS.md · 248 lines

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.

  1. Plan. Run npm run pipeline for one living increment on demand (it equals npm run apply -- --weeks=1). Plain npm run apply generates only the periods the real calendar has produced, and -- --backfill covers 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-touchpoints is for.
    state/requests/<periodIndex>/manifest.json        # index of all requests
    state/requests/<periodIndex>/<artifactId>.prompt.md
    state/requests/<periodIndex>/results/             # ← you write here
    
  2. Fill. Each .prompt.md is fully grounded in the exact ledger facts. For every request in manifest.json, read the prompt and write the result:
    • output: markdown → write results/<artifactId>.md (the artifact body).
    • output: slack_messages → write results/<artifactId>.json as {"messages":[{"personaHandle":"…","text":"…"}, …]}.
    • output: email_thread → write results/<artifactId>.json as {"emails":[{"from":"…","to":["…"],"subject":"…","body":"…","date":"YYYY-MM-DD","contactRef":"…"}, …]} (one object per message, in send order).
  3. Ingest. Run npm run apply -- --ingest --reconcile. The engine validates each result, files markdown into state/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 stays planned and reappears in the next bundle. Refill it and re-ingest.
  4. Verify. Run npm run lint. Fix any error findings by editing the result and re-ingesting. The cause is usually a missing competitor name or win/loss reason in the prose.

Read the full file on GitHub · 248 lines

Changes

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.

  1. 20d ago Changed · +3 lines · +65 tokens per session d835dd6d1994
  2. 21d ago Changed · +12 lines · +186 tokens per session da1071c59fe4
  3. 1mo ago First seen · 233 lines · 3,266 tokens per session scan A eaa8a19a0478

Subscribe to this mod's changes

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.

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