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/markmhendrickson/neotoma/draft-illustrationnpx skills add markmhendrickson/neotoma --skill draft-illustrationgit clone --depth 1 https://github.com/markmhendrickson/neotomaWrote 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/markmhendrickson/neotoma/draft-illustration)<a href="https://agentmods.dev/skills/markmhendrickson/neotoma/draft-illustration"><img src="https://agentmods.dev/badge/skills/markmhendrickson/neotoma/draft-illustration.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 5.1 | $0.00014 | $0.01366 |
| Opus 5 | $0.00007 | $0.00683 |
| Sonnet 5 | $0.00003 | $0.00273 |
| Haiku 4.5 | $0.00001 | $0.00137 |
Grade A, and why
draft-illustration 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 6d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- draft-illustration — 97% identical, 7 lines differ
- draft_illustration — 91% identical, 19 lines differ
How it starts
The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
name: draft-illustration description: Apply consistent visual style for blog post hero and social images across repos. Use when creating or generating hero images, OG images, or post artwork so all assets share the same look. triggers:
- draft illustration
- blog post image
- hero image
- post visual style
- hero style
- OG image
- create post image
- same visual style
- draft-illustration
- /draft-illustration
Blog Post Visual Style (Cross-Repo)
Use this skill whenever you create or generate hero images, OG/social preview images, or any post artwork so that assets have the same visual style across repositories. The style is mandatory for blog/post imagery; repo-specific paths and scripts are documented per project.
Visual style (mandatory)
All hero and post imagery MUST follow this style. Apply it when prompting image generation (e.g. GenerateImage, DALL·E, Midjourney) or when briefing a designer.
Visual rules:
| Rule | Requirement |
|---|---|
| Background | Solid black only. No gradients, no white sections, no mixed backgrounds. |
| Foreground | White line-art. Subtle edge shading for dimensionality is encouraged; large filled areas and color gradients are not. |
| Line work | Polished, refined white outlines with consistent stroke weight. Lines should feel engraved or blueprint-quality — smooth curves, clean joints, slight dimensional depth on edges. Not sketchy or rough. |
| Color | Monochromatic black and white only. No gray tones or other colors outside of subtle edge shading for depth. |
| Composition | Scene-based or centered. Objects may sit on surfaces with perspective (e.g. an angled desk, a platform). Generous negative (black) space around the subject. |
| Aesthetic | Polished, dimensional, iconic. Technical engraving or refined blueprint feel. Not flat/clip-art, not photorealistic. Symbolic objects should feel like they have weight and presence. |
| Typography | None. No text, labels, or captions within the image. |
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.
- 6d ago First seen · 93 lines · 14 tokens per session scan A 23716f689cdb
draft-illustration is a skill published in the GitHub repository markmhendrickson/neotoma (31 stars, last pushed 3d ago), licensed MIT. It adds 14 tokens to every session and 1,366 once invoked, about $0.0001 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
image-gen
Generate images from text prompts via DashScope/Qwen. Use when creating, drawing, or illustrating images.
xiaohongshu-auto-posting
Automates the complete Xiaohongshu (XHS / Little Red Book) content operation workflow: pain-point topic collection → style case collection → topic selection → content writing → publishing → performance tracking. Use when user mentions xiaohongshu auto posting, xhs auto post, little red book posting, xiaohongshu post…
image-generation
Generate images from text prompts (and optionally edit/remix input images). Use when the user asks to create, generate, draw, render, or edit an image, illustration, logo, icon, diagram, or photo.
security-observability
只读查询 agent-sec-cli 已落盘的历史安全事件记录,并据此生成会话级安全复盘。仅当用户显式要求查看或审计已发生的安全事件、安全告警、安全审计记录,或要求按 session/run/trace/时间/类别筛选与统计已有安全事件,或要求复盘某次会话的安全判定时使用。不用于扫描新内容:检查代码安全性用 code-scanner,检测 prompt 注入用 prompt-scanner,审查 Skill 安全状态用 skill-ledger。不要因为对话中出现“安全”“工具调用”等字样、或为了主动自查而触发。.
add-backend
Guide for adding a backend (Rust or Python) to the agent-sec-core security middleware. Use when creating new backends, integrating Rust or Python code into the security middleware, or extending with new backend actions.
regex-mastery
Use this skill when writing regular expressions, debugging pattern matching,optimizing regex performance, or implementing text validation. Triggers on regex, regular expressions, pattern matching, lookahead, lookbehind, named groups, capture groups, backreferences, and any task requiring text pattern matching.