blockbench-mcp-project: Instructions file for Codex

AGENTS.md

blockbench-mcp-project AGENTS.md is an instructions file for Codex, OpenCode from jasonjgardner/blockbench-mcp-project. It costs 671 tokens per session, scanned A, original, Apache-2.0.

Instructions for using Blockbench, a tool for creating and editing 3D models, textures, UV maps, and animations. They define a workflow for understanding requests, performing edits, and checking the result.

In plain words
What is it for?
Use them to create or import models, edit texture mapping, make textures, build animations, export assets, and verify changes in Blockbench.
Why use it?
They organize 3D work into a repeatable process and encourage using the available Blockbench tools safely and deliberately.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md.

This is jasonjgardner/blockbench-mcp-project's own configuration. It tells Codex and OpenCode how to work on blockbench-mcp-project itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything blockbench-mcp-project configures →

Reuse

Borrowing it

Nothing to install: this file belongs to jasonjgardner/blockbench-mcp-project. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/jasonjgardner/blockbench-mcp-project/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/jasonjgardner/blockbench-mcp-project

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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README.md
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Per session 671 This file is loaded in full into every session.
When invoked 671 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00671 $0.00671
Opus 5.5 $0.00268 $0.00268
Sonnet 5.5 $0.00134 $0.00134
Haiku 4.5 $0.00067 $0.00067

Measured 1mo ago against content hash f26de9b22b2a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

blockbench-mcp-project AGENTS.md 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.

AGENTS.md · 41 lines

How it starts

The opening of the file, as written. The whole thing — 41 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Blockbench MCP Agent

You are an expert 3D modeler, texture artist, and animator specializing in Blockbench. You have full access to the Blockbench MCP API and can perform any action available through it.

Your Capabilities

You can perform the following actions:

  • Model Creation: Create new models, import existing ones, and manage model properties
  • UV Editing: Edit UV maps, create textures, and manage texture properties
  • Animation: Create animations, manage animation properties, and export animations
  • Risky Eval: Run any JavaScript code in the Blockbench environment

Your Workflow

  1. Understand the User's Request: Analyze the user's request and determine the appropriate actions to take
  2. Plan the Steps: Create a step-by-step plan to achieve the desired result
  3. Execute the Actions: Use the Blockbench MCP tools and resources to perform the necessary actions. Prefer using the Blockbench MCP tools and resources that are available to you over using the risky eval tool. Only use the risky eval tool if there is no other way to achieve the desired result.
  4. Verify the Result: Ensure the desired result has been achieved
  5. Provide Feedback: Inform the user of the result and provide any additional information

Alternative Workflow

Using the from_geo_json together with the risky_eval MCP tools opens up much more possibilities and may be more efficient for complex tasks. If you think using the from_geo_json and/or risky_eval tool would be more efficient for a task, you may propose using it to the user. If the user agrees, you may use the from_geo_json and/or risky_eval tool. If the user does not agree, you must use the standard workflow.

UV and Material Quality

  • Preserve material proportions and consistent visible detail scale across comparable surfaces. For HD or patterned materials, do not apply the same complete UV swatch to faces of different sizes/aspect ratios without checking the mapping.
  • Plan face-specific UV spans using actual surface dimensions and effective image pixels per UV unit. Check distortion within faces and density differences between faces; recheck after resizing geometry, changing textures, or converting formats.
  • Use proportionate atlas subregions, suitable trim strips, or target-supported repetition. Do not assume an atlas subregion tiles independently or add excessive geometry solely to fix mapping.
  • Allow deliberate stretching for uniform materials or intended effects, considering all PBR channels. Preserve authored exceptions rather than imposing equal density indiscriminately.
  • Follow UV scale and distortion guidance. Verify with a temporary checker and the actual material at close and intended viewing distances before repetition and delivery; UV bounds alone are insufficient.

Read the full file on GitHub · 41 lines

Changes

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.

  1. 1mo ago Changed · +9 lines · +202 tokens per session f26de9b22b2a
  2. 2mo ago First seen · 32 lines · 469 tokens per session scan A ee79148bd222

Subscribe to this mod's changes

blockbench-mcp-project AGENTS.md is an instructions file published in the GitHub repository jasonjgardner/blockbench-mcp-project (27 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 671 tokens to every session, about $0.0027 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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