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-skills)<a href="https://agentmods.dev/skills/corezoid/simulator-ai-plugin/simulator-skills"><img src="https://agentmods.dev/badge/skills/corezoid/simulator-ai-plugin/simulator-skills/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-skills"><img src="https://agentmods.dev/badge/skills/corezoid/simulator-ai-plugin/simulator-skills.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 | $0.00265 | $0.01962 |
| Opus 5.5 | $0.00106 | $0.00785 |
| Sonnet 5.5 | $0.00053 | $0.00392 |
| Haiku 4.5 | $0.00026 | $0.00196 |
Grade A, and why
simulator-skills 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 — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Simulator.Company Skill Registry
A skill is a reusable, workspace-specific playbook stored as an actor of the
Skills system form. It is the data-driven analogue of these built-in skills:
where built-in skills teach how to use the API in general, a skill actor encodes
what to do in THIS workspace — the concrete steps, MCP tool calls, and entity ids
for a task like "create a smart contract".
- title — human name of the skill.
- ref — a stable
kebab-caseslug (e.g.create-smart-contract); unique per form, so it is the fast lookup key and the explicit-invocation handle. - description — the full procedure body (unlimited text). This is the part loaded on demand; keep it self-contained.
- status —
verified= published/active (the only statefindSkillreturns),pending= draft,rejected= disabled.
Skills are workspace-local: they embed concrete entity ids and live in one
workspace's Skills form, so a skill is not portable to another workspace.
Tools:
findSkill,getSkill(discovery/run);createActor/updateActor/setActorStatus(authoring — the curated actor tools). Full contract:$CLAUDE_PLUGIN_ROOT/docs/entities/ai-skills.md.
Workspace check
These tools operate in a workspace. If the active workspace (accId) is unknown, ask
the user for it in their own language before proceeding (or suggest /simulator-init).
If findSkill/getSkill reports the Skills form is missing, the backend Skills
migration / system-forms sync has not run for this workspace — tell the user.
Run a skill
- Explicit invocation. If the user named a skill —
/skill <slug>,@skill <slug>, "use skill ", "run the skill" — callgetSkill(ref=<slug>)directly. If the slug is unknown, say so and offerfindSkillto list what exists. - By intent. Otherwise call
findSkill(query=<the user's request>). It returns a cheap list of{id, title, ref, status}(no body). Pick the confident match; if two or three are plausible, ask the user which; if none, fall back to normal handling. - Load & follow. Call
getSkill(ref=…)to read thedescriptionbody, then execute its steps using the tools and entity ids it names. - Enumerate. "What skills do I have?" →
findSkillwith an emptyquery.
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 · 132 lines · 265 tokens per session scan E ca307c48db66
simulator-skills is a skill published in the GitHub repository corezoid/simulator-ai-plugin (60 stars, last pushed yesterday), licensed MIT. It adds 265 tokens to every session and 1,962 once invoked, about $0.0011 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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