Borrowing it
Nothing to install: this file belongs to dcc-mcp/dcc-mcp-3dsmax. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/dcc-mcp/dcc-mcp-3dsmax/main/.agents/skills/vx-project/SKILL.mdgit clone --depth 1 https://github.com/dcc-mcp/dcc-mcp-3dsmaxWrote 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/dcc-mcp/dcc-mcp-3dsmax/vx-project)<a href="https://agentmods.dev/skills/dcc-mcp/dcc-mcp-3dsmax/vx-project"><img src="https://agentmods.dev/badge/skills/dcc-mcp/dcc-mcp-3dsmax/vx-project/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/dcc-mcp/dcc-mcp-3dsmax/vx-project"><img src="https://agentmods.dev/badge/skills/dcc-mcp/dcc-mcp-3dsmax/vx-project.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 | $0.00031 | $0.01505 |
| Opus 5 | $0.00015 | $0.00753 |
| Sonnet 5 | $0.00006 | $0.00301 |
| Haiku 4.5 | $0.00003 | $0.00151 |
Grade A, and why
vx-project 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 10d 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.
This is a copy
100% identical to vx-project — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 284 lines — stays where its author put it; the contents beside it link to each section on GitHub.
VX Project Management Guide
Quick start: Run
vx initto createvx.toml,vx setupto install all tools,vx devto enter the dev environment. For existing projects, just runvx setupafter cloning.
Project Setup
Initialize a Project
vx init # Create vx.toml interactively
vx init --template node # Use a template
vx init --minimal # Create minimal vx.toml
Project Detection
vx automatically detects project types and suggests tools:
vx analyze # Analyze project (detects languages, dependencies)
vx analyze --json # JSON output for AI parsing
Detected ecosystems: Node.js, Python, Rust, Go, Java, .NET, C/C++, Zig Detected frameworks: React, Vue, Angular, Next.js, Nuxt, Svelte, Django, Flask, FastAPI, Tauri, Electron, React Native, NW.js, and more Detected package managers: npm, yarn, pnpm, bun, pip, uv, cargo, go modules
The project analyzer reads indicator files like package.json, pyproject.toml, Cargo.toml, go.mod, etc. to suggest the right tools.
vx.toml Configuration
Basic Structure
# vx.toml - Project tool configuration
[tools]
# Version constraints
node = "22" # Major version (any 22.x.x)
go = "1.22" # Minor version (any 1.22.x)
uv = "latest" # Always use latest
rust = "1.80" # Specific version
just = "*" # Any version
# Platform-specific tools
[tools.msvc]
version = "14.42"
os = ["windows"] # Only install on Windows
[tools.brew]
version = "latest"
os = ["macos", "linux"]
[scripts]
# Development scripts
dev = "npm run dev"
test = "cargo test"
lint = "npm run lint && cargo clippy"
build = "just build"
# CI/CD scripts
ci = "just ci"
release = "just release"
[hooks]
# Lifecycle hooks
pre_commit = ["vx run lint"]
post_setup = ["npm install", "cargo fetch"]
Version Constraints
| Constraint | Example | Meaning |
|---|---|---|
| Exact | "1.2.3" |
Only version 1.2.3 |
| Major | "1" |
Any 1.x.x |
| Minor | "1.2" |
Any 1.2.x |
| Latest | "latest" |
Always latest |
| Any | "*" |
Any available version |
| Range | ">=1.0.0 <2.0.0" |
Range constraint |
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.
- 10d ago First seen · 284 lines · 31 tokens per session scan A eff4cb1583e6
vx-project is a skill published in the GitHub repository dcc-mcp/dcc-mcp-3dsmax (4 stars, last pushed 3d ago), licensed MIT. It adds 31 tokens to every session and 1,505 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to vx-project, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
maya-render
Pipeline stage — render globals, final-frame rendering, and viewport capture: configure render settings, query them, render frames, capture playblasts. Use for producing final or preview imagery. Not for modeling (maya-mesh-ops), animation editing (maya-animation), generic file import/export (maya-geometry), or render…
maya-scripting
Bootstrap stage — escape hatch for Maya work that has no packaged skill yet. Agents should prefer searchskills / dcccapabilitymanifest → loadskill → typed tools (inputSchema + annotations) from domain skills; use executepython or executemel only when no skill matches, for bulk in-process loops, or for API…
dcc-mcp-maya-setup
Set up dcc-mcp-maya for an agent or operator: install Maya Python dependencies with mayapy, generate MCP host configuration, guide the user through loading the Maya plugin, and run a first live-tool smoke prompt.
maya-import-to-scene
Pipeline stage — structured asset import. Consume an AssetDescriptor produced by maya-asset-source and import the asset (FBX, OBJ, USD) into the current Maya scene via cmds.file(). Handles axis/unit conversion, MaterialMode, PlacementHint, and optional target collection grouping. Returns an ImportToSceneResult with…
maya-asset-source
Pipeline stage — asset discovery and resolution. Search local asset libraries, resolve paths to structured AssetDescriptor records, and surface candidate assets for downstream import. Use before maya-import-to-scene to locate what to import.
maya-mock-async
Synthetic async skill for gateway integration tests. Sleeps for N seconds and reports progress every 500 ms. No actual Maya installation required — uses MayaStandaloneDispatcher.