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 agentmods add skills/yan5xu/codexloom/loom-artifactsnpx skills add yan5xu/codexloom --skill loom-artifactsgit clone --depth 1 https://github.com/yan5xu/codexloomWrote 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/yan5xu/codexloom/loom-artifacts)<a href="https://agentmods.dev/skills/yan5xu/codexloom/loom-artifacts"><img src="https://agentmods.dev/badge/skills/yan5xu/codexloom/loom-artifacts.svg" alt="Measured on agentmods" 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 | $0.00088 | $0.00387 |
| Opus 5 | $0.00044 | $0.00193 |
| Sonnet 5 | $0.00018 | $0.00077 |
| Haiku 4.5 | $0.00009 | $0.00039 |
Grade A, and why
loom-artifacts 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 4d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
1 file 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.
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.
- 4d ago First seen · 23 lines · 88 tokens per session scan A 7c17283db99b
loom-artifacts is a skill published in the GitHub repository yan5xu/codexloom (376 stars, last pushed 15d ago), with no licence file. It adds 88 tokens to every session and 387 once invoked, about $0.0004 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.
Other skills, from other repositories
stage-generate
How to produce AI-generated footage and how to execute a bounded semantic video edit already planned by the EDIT/AUTO workflow. Designed HTML remains composition work; deterministic cutting remains stage-edit work. In Orkas use generateimage, generatevideo, and generatespeech, then assemble through stage-edit. Every…
ai-viral-team-script-writing
脚本创作 - 短视频脚本撰写与分镜设计 职责:根据爆款模板生产内容、设计黄金3秒开头方案(3种以上)、撰写分镜脚本(包含镜头语言/场景氛围/角色动作/台词/BGM)、设计槽点埋梗与情绪钩子、规划结尾引导、自动推荐Vidu视频生成配置(模型版本/生成方式/时长/比例)、确保人物形象一致性、向视频生成(Leo)传递完整的分镜信息 适用场景:(1) 短视频脚本撰写 (2) 分镜设计 (3) 内容创作 (4) 视频策划.
aigc-director
AI 视频生成全流程:通过 6 个阶段(剧本→角色/场景设计→分镜→参考图→视频生成→后期剪辑)将用户想法转化为完整视频。支持临时工作台(单独调用 LLM、VLM、文生图、图生图、视频生成)。触发词:视频生成、AI视频、AIGC、创作视频、制作视频、AI画图。.
sketch
Generating AI image-generation code using the Gemini API. Handles text-to-image generation, image editing, and prompt optimization. Use when image generation code is needed.
ai-video-gen
End-to-end AI video generation - create videos from text prompts using image generation, video synthesis, voice-over, and editing. Supports OpenAI DALL-E, Replicate models, LumaAI, Runway, and FFmpeg editing.
ai-viral-team-video-generation
视频生成 - AI视频生成与后期剪辑制作 职责:调用Vidu生成视频、模型选择、Prompt调优、视频拼接、质量检测.