build-vesperfall-review-assets

build-vesperfall-review-assets is a skill for Codex from devinilabs/pro-skill. It costs 93 tokens per session (729 once invoked), scanned A, a copy of build-vesperfall-review-assets, MIT.

A workflow for creating review materials for Vesperfall game assets, including transparent catalog images and live 3D model previews.

In plain words
What is it for?
Use it when adding or reviewing a Vesperfall character, enemy, prop, or equipment asset.
Why use it?
It helps keep catalog images, imported files, procedural models, and planned assets clearly distinguished.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Codex.

Good fit Use it when adding or reviewing a Vesperfall character, enemy, prop, or equipment asset.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/devinilabs/pro-skill/build-vesperfall-review-assets
Install

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.

Any agent
npx skills add devinilabs/pro-skill --skill build-vesperfall-review-assets
Clone the repo
git clone --depth 1 https://github.com/devinilabs/pro-skill

Made for: Codex.

Wrote 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.

agentmods badge for build-vesperfall-review-assets

README.md
[![agentmods](https://agentmods.dev/badge/skills/devinilabs/pro-skill/build-vesperfall-review-assets/github.svg)](https://agentmods.dev/skills/devinilabs/pro-skill/build-vesperfall-review-assets)
Your own site
<a href="https://agentmods.dev/skills/devinilabs/pro-skill/build-vesperfall-review-assets"><img src="https://agentmods.dev/badge/skills/devinilabs/pro-skill/build-vesperfall-review-assets/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.

agentmods 80×15 button for build-vesperfall-review-assets

Your own site · 80×15
<a href="https://agentmods.dev/skills/devinilabs/pro-skill/build-vesperfall-review-assets"><img src="https://agentmods.dev/badge/skills/devinilabs/pro-skill/build-vesperfall-review-assets.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 93 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 729 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod 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 $0.00093 $0.00729
Opus 5 $0.00046 $0.00365
Sonnet 5 $0.00019 $0.00146
Haiku 4.5 $0.00009 $0.00073

Measured 10d ago against content hash 4fd07049c2c0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

build-vesperfall-review-assets 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/validate_pair.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

This is a copy

100% identical to build-vesperfall-review-assets — 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.

agent-skills/game-development/build-vesperfall-review-assets/SKILL.md · 56 lines

How it starts

The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Build Vesperfall Review Assets

Create one reviewable asset pair without confusing catalog media, imported files, procedural factories, and future contracts.

Workflow

  1. Inspect repository truth before choosing a model path.
    • Locate shipped PNG, FBX, GLB, textures, runtime factories, and declared-but-missing paths.
    • Prefer a shipped FBX/GLB when it is the actual runtime source.
    • Use $img2threejs only when reconstructing from an image in code. Never relabel imported geometry as img2threejs.
    • Do not claim a GLB or texture exists because code declares a future URL.
  2. Produce the transparent catalog reference.
    • Reuse or derive from the production portrait when it already matches the asset identity.
    • Normalize catalog copies to 512×512 RGBA unless the project contract says otherwise.
    • Keep transparent corners and avoid baked floor, halo, or shadow.
    • Store project-bound output under public/asset-catalog/<category>/.
  3. Build the live model preview.
    • Put loading/model construction in a small asset-specific module.
    • Preserve runtime provenance in userData: source paths or factory, action count, sockets, and review-only status.
    • Attach equipment to named sockets. Keep materials, renderer, mixers, events, and animation frames disposable.
    • Frame from measured bounds. Ground from foot/contact geometry, not the lowest weapon tip.
  4. Pair the catalog surfaces.
    • Card/grid: transparent PNG only, with no canvas.
    • Selected inspector: one live model canvas plus truthful format label.
    • Add a button to an isolated preview or moveset route.
    • Keep fallback media visible until WebGL/model loading is ready.
  5. Build the isolated review route.
    • Expose the real action library when clips exist.
    • Provide restart, pause/play, action selection, drag rotation, source paths, and provenance.
    • For procedural motions, mark runtime, contract, and candidate actions separately.
  6. Validate before committing.
    • Run scripts/validate_pair.py <png> <model-source>.
    • Add inventory tests for exact paths, RGBA dimensions, preview kind, and route.
    • Test every motion/contact point deterministically when grounding changes with animation.
    • Run build, lint, full tests, and git diff --check.
    • Use the Codex in-app browser only. Verify desktop and mobile, card PNG/no canvas, inspector model/one canvas, preview navigation, grounding, scroll, overflow, broken media, and console warnings/errors.
  7. Commit the narrow task and hand off its exact SHA before deployment reconciliation.

Read the full file on GitHub · 56 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 10d ago First seen · 56 lines · 93 tokens per session scan A 4fd07049c2c0

Subscribe to this mod's changes

build-vesperfall-review-assets is a skill published in the GitHub repository devinilabs/pro-skill (24 stars, last pushed 27d ago), licensed MIT. It adds 93 tokens to every session and 729 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to build-vesperfall-review-assets, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories