Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/killop/puerts-unity-mcpnpx agentmods add skills/killop/puerts-unity-mcp/puerts-agent-developmentWrote 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/killop/puerts-unity-mcp/puerts-agent-development)<a href="https://agentmods.dev/skills/killop/puerts-unity-mcp/puerts-agent-development"><img src="https://agentmods.dev/badge/skills/killop/puerts-unity-mcp/puerts-agent-development.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00039 | $0.04120 |
| Opus 5 | $0.00019 | $0.02060 |
| Sonnet 5 | $0.00008 | $0.00824 |
| Haiku 4.5 | $0.00004 | $0.00412 |
Grade A, and why
PuerTS Agent Development Guide 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 8d 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 — 428 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PuerTS Agent Development Guide
This skill provides the complete guide for developing LLM agents based on the PuerTsAgent framework.
⚠️ Important — Required Packages: This framework depends on PuerTS core, v8, and agent packages. Before proceeding, you must check the Unity project's
Packages/manifest.jsonto verify that the following packages are installed:
com.tencent.puerts.corecom.tencent.puerts.v8com.tencent.puerts.agentIf any of these packages are missing, they must be installed first before using this skill. you MUST first invoke the "Install PuerTS for Unity" skill to AUTO complete the setup.
⚠️ Prerequisite: Before using this skill to create or modify an agent, you must know the agent's resource directory path under Unity
Resources/(e.g.,maze-runner,editor-assistant). If the user has not provided this path, ask the user whichResources/subdirectory to use before proceeding. All agent files (system-prompt, skills, builtins) are organized under this path.
⚠️ Builtin Language Choice: When creating builtin modules, you must ask the user whether they want to write builtins in TypeScript or JavaScript:
- TypeScript → Create a dedicated TS project (with
package.json,tsconfig.json,esbuild.mjs) whose build output (outdir) points toAssets/Resources/<agent-name>/builtins/. See TypeScript Project Setup for Builtins section below.- JavaScript → Write
.mjsfiles directly inAssets/Resources/<agent-name>/builtins/.
Overview
In this framework, an agent's behavior and capabilities are entirely defined by files in a resource directory (Resource Root). Different resource directories represent different agents — Unity editor assistants, in-game AI characters, or any role you need.
Key Concept: Both
system-prompt.md.txtand files underskills/are essentially prompts (natural language instructions for the LLM). The only difference is their loading strategy:
system-prompt.md.txt— Always present in context (persistent). Put prompts here that are needed for most tasks.skills/*.md.txt— Loaded on demand by the LLM vialoadSkill. Put prompts here that are not needed for every task — they are loaded only when the LLM determines they are relevant.
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.
- 8d ago First seen · 428 lines · 39 tokens per session scan A fdcf85cbb3f1
PuerTS Agent Development Guide is a skill published in the GitHub repository killop/puerts-unity-mcp (81 stars, last pushed 1mo ago), licensed MIT. It adds 39 tokens to every session and 4,120 once invoked, about $0.0002 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 2026-08-30.
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