A tool for turning system architecture, workflows, data flows, API sequences, and state changes into interactive standalone diagrams.

Use it to document infrastructure, security or network layouts, request lifecycles, data pipelines, state machines, or Mermaid diagrams.

It gives developers a visual way to inspect how components and processes relate, including diagrams based on real repository code.

archify — Skill by rhtevan

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.

agentmods

npx agentmods add skills/rhtevan/agentfs/archify

Any agent

npx skills add rhtevan/agentfs --skill archify

Clone the repo

git clone --depth 1 https://github.com/rhtevan/agentfs

Made for: Claude Code, Codex.

Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 3,040 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

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.

Model	Per session	Once invoked
Fable 5	$0.00039	$0.03040
Opus 5	$0.00019	$0.01520
Sonnet 5	$0.00008	$0.00608
Haiku 4.5	$0.00004	$0.00304

Measured yesterday against content hash 790330dbbf8e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

archify 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 yesterday.

The scan reads SKILL.md. This mod also ships 26 executable files (bin/archify.mjs, bin/open-artifact.mjs, bin/preview.mjs, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/archify/SKILL.md · 139 lines

How it starts

The opening of the file, as written. The whole thing — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Archify

Create polished, validated architecture, workflow, sequence, data-flow, and lifecycle/state diagrams as explorable standalone HTML with inline SVG, dark/light themes, optional trace motion, and PNG/JPEG/WebP/SVG/WebM export. Accept plain-language requirements or pasted Mermaid flowchart, sequenceDiagram, and stateDiagram input; inspect repository evidence when the diagram must reflect real code. Use when the user asks to visualize system architecture, infrastructure, cloud/security/network topology, technical workflows, API call sequences, request lifecycles, data pipelines, ETL/ELT, data lineage, state machines, or to convert/beautify Mermaid.

Create a self-contained, interactive HTML diagram from a small typed JSON specification. Static output is the default; enable motion only when the user asks for a demo or presentation.

Defaults

Setting	Default	Override
Working directory	Current project root (`./`)	Explicit user path
Output location	`docs/` (relative to working directory)	Explicit user path
File naming	`<name>.<type>.html` (e.g., `system.architecture.html`)	Explicit user filename

Create docs/ if it does not exist. The JSON IR candidate is written beside the output HTML in the same directory.

Fast authoring path

Use this bounded path for ordinary generation. Do not read the optional Viewer Runtime reference unless the user asks about those features.

Choose architecture, workflow, sequence, dataflow, or lifecycle from the question.
Read one matching schema in schemas/, schemas/common.schema.json, and one matching JSON example in examples/. Read only those files. Fresh authorship means new stable IDs, domain wording, and layout; use the example for field shape, not facts. When real product identity matters, query node bin/archify.mjs brands "<name>" --json; read references/brand-marks.md only for an unknown brand with a user-provided URL.
Artifact first: the next tool action must write the candidate. Write the candidate before inspecting renderer internals. Do not plan exact coordinates in prose. Start with one clear main path, short side branches, sparse labels, and at most 12 primary nodes. Set meta.quality_profile to "showcase" unless the user explicitly requests a dense standard map. Start with automatic routes and labels. Do not add via, channelX, channelY, or labelAt before a diagnostic calls for one; apply at most one diagnosed geometry control per repair.
Validate after every candidate edit and immediately before handoff:

Read the full file on GitHub · 139 lines

Files

What ships with it

60 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.

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.

yesterday First seen · 139 lines · 39 tokens per session scan A 790330dbbf8e

Subscribe to this mod's changes

archify is a skill published in the GitHub repository rhtevan/agentfs (2 stars, last pushed 3d ago), licensed Apache-2.0. It adds 39 tokens to every session and 3,040 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.

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