Borrowing it
Nothing to install: this file belongs to corezoid/simulator-ai-plugin. 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/corezoid/simulator-ai-plugin/main/AGENTS.mdgit clone --depth 1 https://github.com/corezoid/simulator-ai-pluginWrote 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/corezoid/simulator-ai-plugin/agents-md)<a href="https://agentmods.dev/instructions/corezoid/simulator-ai-plugin/agents-md"><img src="https://agentmods.dev/badge/instructions/corezoid/simulator-ai-plugin/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/corezoid/simulator-ai-plugin/agents-md"><img src="https://agentmods.dev/badge/instructions/corezoid/simulator-ai-plugin/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 | $0.03210 | $0.03210 |
| Opus 5.5 | $0.01284 | $0.01284 |
| Sonnet 5.5 | $0.00642 | $0.00642 |
| Haiku 4.5 | $0.00321 | $0.00321 |
Grade A, and why
simulator-ai-plugin 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 17d 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 — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Guidance for coding agents (Codex, Claude Code, etc.) working in the simulator-ai-plugin
repository. Humans: see the root README.md (usage) and
docs/ARCHITECTURE.md (design).
What this repo is
A plugin for Claude Code, Codex, and AWS Kiro that connects the Simulator.Company platform
(backend: pong-server / control-api) to the host via MCP. It bundles:
- a Go MCP server (
plugins/simulator/mcp-server/) that exposes the Simulator/papi/1.0public API as a curated, typed set of ~95 MCP tools (declared in Go, not a generic spec passthrough), scoped to the core scenarios; - 14 skills (
plugins/simulator/skills/) — markdown that teaches the model the platform's entity model and common workflows.
Read docs/ARCHITECTURE.md before making non-trivial changes.
Layout (the parts you'll touch)
plugins/simulator/mcp-server/ Go MCP server (Go 1.24+, mark3labs/mcp-go)
cmd/server/ entry point: profile → apiclient → tools → stdio
cmd/gendiscovery/ regenerate public/ discovery artifacts
cmd/evalrunner/ behavioural eval (opt-in; needs ANTHROPIC_API_KEY)
internal/config/ cloud presets + local/prod profiles (env + profiles.json overridable)
internal/apiclient/ HTTP client: base URL, auth header, accId, timeouts, errors
internal/tools/ curated typed Operation registry (op.go) + per-domain files
testdata/ papi-openapi.json (drift gate) + eval-scenarios.json
internal/engines/ graph sync, layout, prune, placements, upload, chart
app/auth/ set-environment (public config → account URL) + OAuth2 PKCE + .env credential storage
plugins/simulator/skills/ 14 skills (markdown only, ship with the plugin)
plugins/simulator/docs/ entity & user-flow reference (ships with the plugin)
docs/ contributor docs (ARCHITECTURE.md, INTEGRATION.md) — repo-level
public/ generated AI-discovery artifacts (do not hand-edit)
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.
- 17d ago Changed · +3 lines · +73 tokens per session c8f23bcb796d
- 19d ago Changed · +2 lines · +55 tokens per session 63fe84b48e70
- 1mo ago First seen · 187 lines · 3,082 tokens per session scan A 5dffc5c650ce
simulator-ai-plugin AGENTS.md is an instructions file published in the GitHub repository corezoid/simulator-ai-plugin (60 stars, last pushed yesterday), licensed MIT. It adds 3,210 tokens to every session, about $0.0128 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.
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.