Articraft is a toolset for generating, viewing, and working with articulated 3D assets from text prompts. Researchers and developers use its generation code, viewer, SDK, command-line tools, and dataset; the repository points current development to a successor project.
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 mattzh72/articraft --skill articraft-authoringgit clone --depth 1 https://github.com/mattzh72/articraftWrote 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/mattzh72/articraft/articraft-authoring)<a href="https://agentmods.dev/skills/mattzh72/articraft/articraft-authoring"><img src="https://agentmods.dev/badge/skills/mattzh72/articraft/articraft-authoring/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/mattzh72/articraft/articraft-authoring"><img src="https://agentmods.dev/badge/skills/mattzh72/articraft/articraft-authoring.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00028 | $0.00914 |
| Opus 5.5 | $0.00011 | $0.00366 |
| Sonnet 5.5 | $0.00006 | $0.00183 |
| Haiku 4.5 | $0.00003 | $0.00091 |
Grade A, and why
articraft-authoring 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 2mo 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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Articraft Authoring
Use this skill when the user asks Codex to create, edit, fix, improve, check, or finalize an Articraft asset or record.
Core Rule
There are three supported Articraft authoring modes. Choose the mode from the user's request before creating a record.
- Use native Articraft generation when the user needs Articraft-managed run metadata, cost accounting, turn counts, or the full agent trajectory. This path requires the relevant provider API key.
- Use no-key Codex generation when the user wants Codex access without provider API keys. This path uses
--provider codex-cliinside Articraft's internal harness, so Articraft still owns the loop, tools, compile feedback, turn counts, compile-attempt counts, record persistence, and trajectory. - Use external Codex authoring only when the user explicitly asks Codex to manually edit
model.pyoutside the internal harness. This path creates an external-agent record and intentionally has no Articraft internal trace.
Never manually create record directories, invent record metadata, copy record folders, write traces, or bypass the CLI.
Read the repository contract before external authoring:
sed -n '1,220p' EXTERNAL_AGENT_DATA.md
Also read the core quality requirements before writing geometry:
agent/prompts/sections/designer_common.md
agent/prompts/sections/link_naming.md
Use SDK docs and examples while authoring:
sdk/_docs/
sdk/_examples/
Setup
From the Articraft repo root:
uv sync --group dev
uv run articraft init
If the user wants a specific data folder, pass --data-dir or set ARTICRAFT_DATA_DIR.
Create A New Record
For a full Articraft run with cost, turn count, and trajectory, use native generation:
uv run articraft generate "<prompt>"
For no-key Codex generation with Articraft loop parity, use the Codex CLI provider:
uv run articraft generate --provider codex-cli --model <codex-model-id> "<prompt>"
For image-conditioned no-key Codex generation:
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.
- 2mo ago First seen · 126 lines · 28 tokens per session scan A aee66c814ec5
articraft-authoring is a skill published in the GitHub repository mattzh72/articraft (1,539 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 28 tokens to every session and 914 once invoked, about $0.0001 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.
articraft-authoring compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| articraft-authoringmattzh72/articraft | Skill | 1.5k | 3mo ago | Apache-2.0 | A | 28 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |