What is ccf-visual-composer?

A visual design and editing assistant for research figures, tables, diagrams, icons, and colour schemes. It can create visuals from data or supplied material and produce editable SVG, PDF, or PowerPoint files.

Use it to plot results, lay out tables, draw method and architecture diagrams, create icons, and revise existing figures. It can make a raster draft first and, with approval, reconstruct it in an editable format.

It helps turn raw results or rough ideas into clearer visuals without manually arranging every element. It also supports checking readability and preparing visuals for papers, presentations, or project documentation.

ccf-visual-composer — Skill for Codex by AutoConference

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 AutoConference/AutoConference-skill --skill ccf-visual-composer

Clone the repo

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

Made for: 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/autoconference/autoconference-skill/ccf-visual-composer/github.svg)](https://agentmods.dev/skills/autoconference/autoconference-skill/ccf-visual-composer)

Your own site

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

Per session 156 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,652 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	$0.00156	$0.02652
Opus 5.5	$0.00062	$0.01061
Sonnet 5	$0.00031	$0.00530
Haiku 4.5	$0.00016	$0.00265

Measured 3d ago against content hash 9f080287f4af, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-28, from the pricing page.

Security

Grade A, and why

ccf-visual-composer 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 3d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (resources/python/ccfa_plot_recipes.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 ccf-visual-composer — 110 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/ccfa/ccf-visual-composer/SKILL.md · 99 lines

How it starts

The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CCF Visual Composer

Invocation Controls

CCFA Handoff Mode: PARTIAL (Recommended). Follow metadata.ccf_skill_controls.handoff_question_mode and ../ccf-common/references/handoff-modes.md.

Treat image generation and editable reconstruction as two separate stages. For method, architecture, system, pipeline, framework, and illustrative scientific diagrams, use GPT Image 2 as the default first-pass renderer unless the user explicitly says not to use it. A request to create such a diagram authorizes the default image-generation stage; do not add a redundant pre-generation confirmation. After every generated image, show the raster draft and ask whether the user wants it reconstructed as editable SVG, vector PDF, editable PPTX, or a combination. Do not start reconstruction until the user agrees. Use the pure-SVG-first route only when the user explicitly rejects GPT Image 2 or explicitly asks for pure SVG/code-first output.

Classify the destination before drawing: paper mechanism figure, PPT/Poster graphic, or README/outreach infographic. A paper architecture request must expose the computation graph and pass references/paper-vs-presentation-diagrams.md; do not use slide-style stage cards, hero headings, callout dashboards, or presentation prose merely because they look polished. Presentation grammar is allowed only for an explicitly presentation-facing artifact and must be labeled accordingly.

Core Rule

Make every visual evidence-bearing, readable, and integrated with the manuscript. Start from a visual contract, not a template. Never invent data, numbers, statistics, baselines, sample sizes, architecture modules, data flows, training signals, labels, images, captions that imply unsupported results, or official venue rules.

Preserve strong user prompts. When an architecture prompt already specifies the scientific topology, components, labels, and visual intent, keep it verbatim and append only a compact content-fit refinement. Do not replace it with a longer house-style prompt. When the input is a manuscript or sparse notes instead, extract a factual diagram specification and build the prompt from that evidence. Treat prompt length as a cost and latency surface.

Read the full file on GitHub · 99 lines

Files

What ships with it

18 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.

3d ago First seen · 99 lines · 156 tokens per session scan A 9f080287f4af

Subscribe to this mod's changes

ccf-visual-composer is a skill published in the GitHub repository AutoConference/AutoConference-skill (6 stars, last pushed yesterday), licensed Apache-2.0. It adds 156 tokens to every session and 2,652 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to ccf-visual-composer, differing in 110 lines, and is treated as a copy.

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