A tool for generating structured diagrams as editable SVG vector files from JSON specifications. SVG is a text-based image format that can be edited later, and the same specification produces the same diagram.

Use it for publication diagrams with fixed node positions, groups, and connections, especially when the result must remain editable.

It makes the layout and connections of architecture, workflow, pipeline, and system-topology diagrams explicit and reproducible.

figure-spec — Skill for Claude Code by AutoConference

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo

git clone --depth 1 https://github.com/AutoConference/AutoConference-skill

agentmods

npx agentmods add skills/autoconference/autoconference-skill/figure-spec

Made for: Claude Code.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/autoconference/autoconference-skill/figure-spec/github.svg)](https://agentmods.dev/skills/autoconference/autoconference-skill/figure-spec)

Your own site

<a href="https://agentmods.dev/skills/autoconference/autoconference-skill/figure-spec"><img src="https://agentmods.dev/badge/skills/autoconference/autoconference-skill/figure-spec/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/autoconference/autoconference-skill/figure-spec"><img src="https://agentmods.dev/badge/skills/autoconference/autoconference-skill/figure-spec.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 80 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 3,000 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 100% copy Near-identical to another mod 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 5.1	$0.00080	$0.03000
Opus 5.5	$0.00032	$0.01200
Sonnet 5.5	$0.00016	$0.00600
Haiku 4.5	$0.00008	$0.00300

Measured 1mo ago against content hash 93c1018de5e7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

figure-spec 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 1mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/figure_renderer.py), 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.

Origin

This is a copy

100% identical to figure-spec — 17 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/aris/figure-spec/SKILL.md · 263 lines

How it starts

The opening of the file, as written. The whole thing — 263 lines — stays where its author put it; the contents beside it link to each section on GitHub.

FigureSpec: Deterministic JSON → SVG Figure Generation

Generate publication-quality architecture diagrams, workflow pipelines, audit cascades, and system topology figures as editable SVG vector graphics using a deterministic JSON → SVG renderer.

When to Use This Skill

Use figure-spec for:

System architecture diagrams (layered, hub-and-spoke, multi-plane)
Workflow / pipeline figures
Audit cascade / flow-control diagrams
Any structured diagram where node positions, connections, and groupings are semantically important
Figures that need to be edited/tweaked later (SVG is plain text)
Figures where determinism matters (same spec → same SVG)

Do NOT use for:

Data plots (bar/line/scatter) — use /paper-figure
Natural/qualitative illustrations — use /paper-illustration
Quick state-machine / flowchart — use /mermaid-diagram (lighter syntax)

Core Properties

Deterministic: identical FigureSpec JSON always produces identical SVG output (for a fixed renderer version + fonts)
Editable: SVG output is plain-text, can be post-edited by hand or programmatically
Validated: renderer enforces schema, rejects malformed specs with clear error messages
Shape-aware: edge clipping works correctly for rect/rounded/circle/ellipse/diamond
CJK support: multi-line labels with proper Chinese character width estimation
No external API: runs fully local, no network, no API keys

Tool Location

Phase 3.1 (Arch C) move: the canonical implementation now lives at skills/figure-spec/scripts/figure_renderer.py (this SKILL's own scripts/ subdirectory). A backwards-compatible shim at tools/figure_renderer.py forwards to the canonical file via os.execv, so existing users with .aris/tools/figure_renderer.py or a manually copied tools/figure_renderer.py keep working unchanged.

Resolve $FIGURE_RENDERER with the hybrid chain (layer 0 prefers the self-contained location for the owning SKILL; layers 1-4 are the shared-runtime chain documented in shared-references/integration-contract.md §2, Policy A — skill-local gate):

Read the full file on GitHub · 263 lines

Files

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.

scripts/figure_renderer.py 29 KB runs code

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.

1mo ago First seen · 263 lines · 80 tokens per session scan A 93c1018de5e7

Subscribe to this mod's changes

figure-spec is a skill published in the GitHub repository AutoConference/AutoConference-skill (13 stars, last pushed 4d ago), licensed Apache-2.0. It adds 80 tokens to every session and 3,000 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to figure-spec, differing in 17 lines, and is treated as a copy.

Creative and media Design and UX

figure-spec next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
figure-specAutoConference/AutoConference-skill	Skill	13	4d ago	Apache-2.0	A	80	Claude Code
webgl-holographic-foilnexu-io/open-design	Skill	107k	today	Apache-2.0	A	41	Claude Code, Codex
html-ppt-hermes-cyber-terminalnexu-io/open-design	Skill	107k	today	Apache-2.0	A	53	Claude Code, Codex
html-ppt-taste-brutalistnexu-io/open-design	Skill	107k	today	Apache-2.0	A	78	Claude Code, Codex
visual-ralphYeachan-Heo/oh-my-codex	Skill	34k	3d ago	MIT	A	52	Codex
glance-canonical-layoutsandroid/skills	Skill	10k	2d ago	Apache-2.0	A	56	Claude Code
accessibilitymicrosoft/hve-core	Skill	1.6k	today	MIT	A	47	Claude Code