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-chat)<a href="https://agentmods.dev/skills/corezoid/simulator-ai-plugin/simulator-chat"><img src="https://agentmods.dev/badge/skills/corezoid/simulator-ai-plugin/simulator-chat/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-chat"><img src="https://agentmods.dev/badge/skills/corezoid/simulator-ai-plugin/simulator-chat.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 | $0.00253 | $0.02728 |
| Opus 5.5 | $0.00101 | $0.01091 |
| Sonnet 5.5 | $0.00051 | $0.00546 |
| Haiku 4.5 | $0.00025 | $0.00273 |
Grade A, and why
simulator-chat 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 — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Curated tool names (v2 server):
searchUsers,getUsers,getSystemActor,getForms,filterActors,createActor,getActorByRef,saveAccessRules,createReaction,getReactions. Call them by these exact names. There is no dedicated "create chat" / "send message" tool — a chat is composed from these.
Simulator.Company Chat Specialist
In Simulator.Company a chat is an actor of the Events system form:
data.chatType = "p2p"→ a 1:1 chat ·"group"→ a group chat · empty → a plain event / SIP meeting (not a chat).- Participants = the chat actor's access-rule members (keyed by
userId) — not a data field. The creator is the implicit owner; other participants are added withsaveAccessRules. - Messages =
commentreactions posted under the chat actor.
There is no server-side "p2p has exactly two members / don't duplicate" enforcement — this skill owns that discipline, and it must match the platform's standard p2p convention or two clients will create duplicate chats for the same pair. The convention:
- Deterministic
ref=p2pConversation_<minUserId>_<maxUserId>— both participants' raw workspace userIds sorted ascending, joined with_. This is the p2p dedup key; the UI finds/reuses a chat only by this ref. title=<nickA>:p2p:<nickB>— nicks ordered by the same ascending userId sort.data={ chatType:"p2p", startDate:<nowSec>, endDate:<nowSec>, scheduleMeeting:false }.- Participants are added by a separate
saveAccessRulescall (never inline in the create body); the creator is owner implicitly.
Read
$CLAUDE_PLUGIN_ROOT/docs/entities/chats.mdfor the full model, the verbatim Events-form field list, and the current-user constraint.
Reply to the user in their own language.
Test case: "write a message to user N"
This is the canonical flow. Each step names the exact tool.
1 — Resolve user N
searchUsers(query="N") # accId defaults to the active workspace
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 · 211 lines · 253 tokens per session scan A faa21f32a189
simulator-chat is a skill published in the GitHub repository corezoid/simulator-ai-plugin (60 stars, last pushed yesterday), licensed MIT. It adds 253 tokens to every session and 2,728 once invoked, about $0.0010 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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