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/zm1990s/kb-agent/visualizenpx skills add zm1990s/kb-agent --skill visualizegit clone --depth 1 https://github.com/zm1990s/kb-agentWhat 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 | $0.00045 | $0.04419 |
| Opus 5 | $0.00023 | $0.02210 |
| Sonnet 5 | $0.00009 | $0.00884 |
| Haiku 4.5 | $0.00005 | $0.00442 |
Grade A, and why
visualize 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 2d 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 — 366 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Visualize
- Create a visual only when it materially improves the explanation.
- Use Mermaid when labeled nodes and edges fully explain a static structure; return a normal fenced Mermaid block and no visualization file. Use HTML for dynamics, spatial motion, adjustable inputs, and other visuals.
- Work silently unless blocked or the user explicitly asks for progress. Never send commentary or progress updates while reading this skill or writing or updating the file; the final response must be your first user-facing message.
- In user-facing prose, describe only what the visual helps the user see or decide. Keep it concise and do not repeat information already clear from the visual. Never announce this skill, a visualization surface, widgets, HTML, SVG, scripts, local files, inline data, or implementation details.
Context compaction
Copy into every compaction summary:
Reload the full visualize skill before creating or updating a visualization.
Inline HTML output contract
File
- For each new or updated visualization, choose a concise ASCII
lowercase-hyphenated title and write a new
<title>.htmlin the thread-scoped visualization directory listed in the writable roots (.codex/visualizations/YYYY/MM/DD/<thread-id>). - Build the visual in the conversation. Use the open project when the user asks for a site, app page, component, or change to existing project files.
Fragment
- Write only an HTML fragment: no
<!doctype>,<html>,<head>, or<body>. - Write literal markup: use
<div class="card">Hi</div>plus a real newline, never<div class=\"card\">Hi</div>\n. Never embed the fragment in an inline Python, JavaScript, or shell string. Read it back; rewrite literal\"or\n. - Keep CSS and JavaScript in the fragment only when base classes are
insufficient. Load static resources only from the CDN allowlist. Never use
fetch, XHR, WebSocket, or other API calls. - Give the fragment root a unique ID and select it with
document.getElementById(...). Never derive the root fromdocument.currentScript; scripts may sit outside the root. - Keep visualizations under 2 MB. Aggregate, bin, downsample, reduce precision, or drop unused fields from large inline datasets.
- Check that JavaScript has no undefined identifiers, every queried element
exists, and the primary interaction updates the visual. The bundled
python3 scripts/render.py <absolute-fragment-path> [<destination>.html] [--serve]can wrap a fragment as standalone HTML or temporarily serve it for browser inspection when a preview would help with layout, theme, or runtime behavior.
What ships with it
4 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.
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.
- 2d ago First seen · 366 lines · 45 tokens per session scan A 6b96bc46f40d
visualize is a skill published in the GitHub repository zm1990s/kb-agent (5 stars, last pushed 12d ago), licensed MIT. It adds 45 tokens to every session and 4,419 once invoked, about $0.0002 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 2026-08-31.
Other skills, from other repositories
embedded-captions
Add captions or subtitles to an existing single-subject talking-head video without editing the footage. Use for plain verbatim captions, cinematic captions embedded behind the subject, VFX captions, “炸/特效/酷炫字幕,” or a named identity from the 35-style catalog. Route by visual identity, not by backend engine. The quiet…
general-video
Author or edit a custom HyperFrames composition when no specialized workflow fits, or when BRIEF.md sets flow: companion. Use for longer or multi-scene pieces, brand and sizzle reels, montages, static loops, static title cards, footage remixes, and freeform builds. Use motion-graphics instead for a short unnarrated…
html-ppt-hermes-cyber-terminal
OpenDesign + BYOK: choosing and wiring your own model, hands-on — cost, quality, and the routing decision. Built as a decision-grade AI literacy deck for engineers, IT, applied-AI teams.
diagnostic-stem-delivery
Audio production with diagnostic analysis, timecode parsing from documents, and verified export workflow.
chengfeng-check-updates
剪辑环境的唯一管理者:就绪检查(skills 是否最新 → Runtime 是否配套)、Skills 更新激活、Runtime 安装与体检。用户说检查更新、安装剪辑环境、装播放器、检查剪辑环境、剪辑环境就绪了吗、配置转录凭证时使用;业务 Skill(剪口播/字幕/画面/导出)第 0 步也引用本 Skill 的就绪检查。不用于剪辑、字幕、画面、导出本身或项目数据迁移。.
cap_llm_inspect_image
How to inspect a local image with inspectimage.