Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add corezoid/simulator-ai-plugin/plugin install simulatorWrote 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/corezoid/simulator-ai-plugin/simulator-agents)<a href="https://agentmods.dev/skills/corezoid/simulator-ai-plugin/simulator-agents"><img src="https://agentmods.dev/badge/skills/corezoid/simulator-ai-plugin/simulator-agents/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/corezoid/simulator-ai-plugin/simulator-agents"><img src="https://agentmods.dev/badge/skills/corezoid/simulator-ai-plugin/simulator-agents.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 | $0.00519 | $0.02911 |
| Opus 5.5 | $0.00208 | $0.01164 |
| Sonnet 5.5 | $0.00104 | $0.00582 |
| Haiku 4.5 | $0.00052 | $0.00291 |
Grade A, and why
simulator-agents 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 1mo 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 — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Curated tool names (v2 server):
findAgent,getAgent(the agent registry — user twins by default, any registry form viaformId);searchUsers,getUsers,getSystemActor(resolve people/twins);searchActors,getActor(resolve non-user agent actors). Delegation reuses thesimulator-chatflow (p2p message) and thesimulator-tasksflow (create + assign a task) — there is no dedicated "delegate" tool; the outcome is composed from these.
Simulator.Company Digital-Twin & Actor-Agent Specialist
An agent is any actor whose description holds an "# Agent" competency profile —
System instructions (persona + rules) plus Knowledge (competency profile, durable facts, recent
activity) — describing what it does, what it knows, and whether it fits a task.
The common case is a person. Every workspace user has a 1:1 twin actor (isSystem=true,
systemObjType="user", systemObjId=<userId>, on the System system form, title = nick) whose
profile a factory generates from git activity. But the profile can live on any actor:
- a non-user system actor on the
Systemform (a service/bot/device twin); - a plain actor on a business form (a team, a department, an organization, a process, a service).
So an agent actor is a skill actor, and this skill is the actor-analog of simulator-skills:
the registry is the set of agent actors instead of the Skills form. Talking to an agent "as an
agent" means: discover it (findAgent) → load its profile (getAgent) → adopt it as the
persona → answer, or act, or delegate.
Reply to the user in their own language.
Workspace check
These tools operate in a workspace. If the active workspace (accId) is unknown, ask the user
for it in their own language (or suggest /simulator-init). If findAgent/getAgent reports
the System form is missing, the backend system-forms sync has not run for this workspace — tell
the user. (That only affects the default user-twin registry; a non-user registry addressed by
formId does not need the System form.)
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.
- 1mo ago First seen · 156 lines · 519 tokens per session scan A c1211e459678
simulator-agents is a skill published in the GitHub repository corezoid/simulator-ai-plugin (60 stars, last pushed yesterday), licensed MIT. It adds 519 tokens to every session and 2,911 once invoked, about $0.0021 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.
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