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agent-vision-diagrams

agent-vision-diagrams is a skill for Claude Code, Codex from jakenuts/agent-skills. It costs 82 tokens per session (1,038 once invoked), scanned A, original, MIT.

A skill for creating shareable diagrams such as architecture maps, flowcharts, state machines, class models, and dependency maps through the Agent Vision diagram service.

In plain words
What is it for?
Use it when you need to draw software architecture, workflows, state changes, domain structures, mind maps, or dependencies.
Why use it?
It turns a described system or process into a rendered diagram and a shareable link, making relationships easier to inspect and discuss.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code.

not rated 2repo 3mo ago A scan 82 tokens original MIT

Good fit Use it when you need to draw software architecture, workflows, state changes, domain structures, mind maps, or dependencies.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jakenuts/agent-skills/agent-vision-diagrams
View source ↗ jakenuts/agent-skills
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 jakenuts/agent-skills --skill agent-vision-diagrams
Clone the repo
git clone --depth 1 https://github.com/jakenuts/agent-skills

Made for: Claude Code, 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 agent-vision-diagrams

README.md
[![agentmods](https://agentmods.dev/badge/skills/jakenuts/agent-skills/agent-vision-diagrams/github.svg)](https://agentmods.dev/skills/jakenuts/agent-skills/agent-vision-diagrams)
Your own site
<a href="https://agentmods.dev/skills/jakenuts/agent-skills/agent-vision-diagrams"><img src="https://agentmods.dev/badge/skills/jakenuts/agent-skills/agent-vision-diagrams/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 agent-vision-diagrams

Your own site · 80×15
<a href="https://agentmods.dev/skills/jakenuts/agent-skills/agent-vision-diagrams"><img src="https://agentmods.dev/badge/skills/jakenuts/agent-skills/agent-vision-diagrams.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 82 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,038 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 original No closer match found 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 $0.00082 $0.01038
Opus 5.5 $0.00033 $0.00415
Sonnet 5.5 $0.00016 $0.00208
Haiku 4.5 $0.00008 $0.00104

Measured 2mo ago against content hash a8e17d063a64, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agent-vision-diagrams 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.

skills/agent-vision-diagrams/SKILL.md · 86 lines

How it starts

The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Vision — diagrams for the user

Agent Vision is a hosted diagram app. You write a small JSON document (the spec — a DSL), the app renders it (2D now, isometric later), stores every change as an immutable revision, and returns a public share URL plus a rendered PNG so you can show the user immediately.

This installed skill is a thin connection recipe. The full DSL, the color / idiom grammar, worked examples, ops-patch reference, icon catalog, and warning list live in the hosted, canonical skill doc — fetch it once at the start of a diagramming session and follow it:

<app-url>/skill.md   (ask the user for their Agent Vision app URL)

(Replace the host with whatever app URL the user gave you; the skill doc lives at <app-url>/skill.md.)

Connecting (given only the user's app <url>)

Step 0 — check the environment first: if AGENT_NATIVE_VISION_URL and AGENT_NATIVE_VISION_TOKEN env vars are set (provisioned containers), use them and skip all auth below — bearer header on every call, done.

Primary — device flow, you drive it. No pre-minted token, no password:

  1. POST <url>/_agent-native/mcp/connect/device/start (empty JSON body, no auth) → { device_code, user_code, verification_uri_complete, interval, expires_in }.
  2. Tell the user in chat: "Open <verification_uri_complete> and click Authorize this device (code <user_code>)." Any device where they're already logged in works.
  3. POST <url>/_agent-native/mcp/connect/device/poll with { "device_code": "<device_code>" } every interval seconds until it returns approved → { token, mcpUrl, ... } (pending = keep going; expired/consumed = restart at step 1).
  4. Use the token exactly as below.

Fallback — user-minted token: the user logs in, opens <url>/_agent-native/mcp/connect, clicks Create connection token, and pastes { url, token } to you. Tokens are per-user, scoped, expiry-bound, and revocable from that same page.

Read the full file on GitHub · 86 lines

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. 2mo ago First seen · 86 lines · 82 tokens per session scan A a8e17d063a64

Subscribe to this mod's changes

agent-vision-diagrams is a skill published in the GitHub repository jakenuts/agent-skills (2 stars, last pushed 3mo ago), licensed MIT. It adds 82 tokens to every session and 1,038 once invoked, about $0.0003 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 2026-08-31.

Building agentsDesign and UX
Related

agent-vision-diagrams compared with skills from other repositories

agent-vision-diagrams next to 6 skills from other repositories
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agent-vision-diagramsjakenuts/agent-skillsSkill23mo agoMITA82Claude Code, Codex
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glance-canonical-layoutsandroid/skillsSkill10k2d agoApache-2.0A56Claude Code
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