Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add sandraschi/vbot-mind-mcp --skill vbot-mindgit clone --depth 1 https://github.com/sandraschi/vbot-mind-mcpWrote 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/sandraschi/vbot-mind-mcp/vbot-mind)<a href="https://agentmods.dev/skills/sandraschi/vbot-mind-mcp/vbot-mind"><img src="https://agentmods.dev/badge/skills/sandraschi/vbot-mind-mcp/vbot-mind.svg" alt="Measured on agentmods" 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 | $0.00050 | $0.00748 |
| Opus 5 | $0.00025 | $0.00374 |
| Sonnet 5 | $0.00010 | $0.00150 |
| Haiku 4.5 | $0.00005 | $0.00075 |
Grade A, and why
vbot-mind 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 7d 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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
V-Bot Mind — Skill
What This Server Does
V-Bot Mind is the fleet's autonomous virtual robot brain runtime. It receives perception data from a game engine (what the bot sees, hears, senses), runs LLM reasoning to decide what to do, maintains episodic memory of past interactions, and outputs motor commands back to the engine.
You use this server when you have V-Bots in Godot, Unity3D, or Resonite that need autonomous behavior — NPCs that think, remember, and act like characters.
Core Workflow
- Create a V-Bot with a name, personality, role, and backstory
- Perceive — feed the bot observations from the game engine
- Think — run LLM reasoning on the current situation
- Act — output motor commands back to the engine
- Remember — store important events; query past memories
- Chat — have a player/NPC talk directly to the V-Bot
Tool Reference
vbot_mind (primary portmanteau)
Operations:
status— List all V-Bots or get one by idcreate— Create a new V-Bot with personality, role, and backstoryconfigure— Update a V-Bot's personality, goals, or roleperceive— Feed observations (what the bot sees/hears/senses)think— Run LLM reasoning on the current situationact— Execute a motor command (move, speak, interact, idle)chat— Direct conversation with a V-Botremember— Store or retrieve episodic memoriesdelete— Remove a V-Bot instance
vbot_agentic_workflow
Runs a multi-step perceive → think → act loop toward a goal. The V-Bot autonomously
pursues the goal for up to max_steps cycles.
Personality Design
V-Bot personalities are defined by trait keywords and a backstory:
- Traits: curiosity, sociability, aggression, patience, humor, diligence, caution, creativity
- Backstory: A short narrative that shapes the bot's worldview and behavior
The LLM uses the personality + backstory + episodic memory to generate consistent, in-character responses. A "shy, cautious" bot will behave differently from a "bold, aggressive" one in the same situation.
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.
- 7d ago First seen · 75 lines · 50 tokens per session scan A 1d3b13712091
vbot-mind is a skill published in the GitHub repository sandraschi/vbot-mind-mcp (2 stars, last pushed 7d ago), licensed MIT. It adds 50 tokens to every session and 748 once invoked, about $0.0003 per session on Opus 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.
Other skills, from other repositories
gameobject-component-destroy
Destroy one or more Components from a target GameObject. Missing (null) components are skipped — they cannot be destroyed. Use 'gameobject-find' and 'gameobject-component-get' to identify the components first.
unity-version-split
Split a C# file into Unity 6.5+ and pre-Unity 6.5 variants. Use when a file needs different implementations for different Unity versions due to API changes (e.g., EntityId vs int, GetEntityId vs GetInstanceID).
unity-addressables
Manage Addressables groups, entries, profiles and content builds (com.unity.addressables, reflection-based).
playtest-report
Generates a structured playtest report template or analyzes existing playtest notes into a structured format. Use this to standardize playtest feedback collection and analysis.
unity-manual-component
Manually add, configure, reorder, and copy components on GameObjects using Unity Editor UI. For one-off Inspector workflows that do not need REST automation.
motion
How an agent turns a character mesh into a usable animated FBX — and how to judge whether the result is shippable.