CCFA Skills is a family of agent skills that helps researchers develop the storyline and presentation of CCF-A research papers. It supports work across research ideas, literature, experiments, writing, figures, reviews, rebuttals, and submission while keeping the argument connected. The catalogue entry consists of the project's research-writing skills and plugin.
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 skills add mikubaka88/CCFA-Skills --skill ccf-visual-composergit clone --depth 1 https://github.com/mikubaka88/CCFA-SkillsWrote 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.
[](https://agentmods.dev/skills/mikubaka88/ccfa-skills/ccf-visual-composer)<a href="https://agentmods.dev/skills/mikubaka88/ccfa-skills/ccf-visual-composer"><img src="https://agentmods.dev/badge/skills/mikubaka88/ccfa-skills/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.
<a href="https://agentmods.dev/skills/mikubaka88/ccfa-skills/ccf-visual-composer"><img src="https://agentmods.dev/badge/skills/mikubaka88/ccfa-skills/ccf-visual-composer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00086 | $0.01411 |
| Opus 5 | $0.00043 | $0.00705 |
| Sonnet 5 | $0.00017 | $0.00282 |
| Haiku 4.5 | $0.00009 | $0.00141 |
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 5d 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 — 59 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, ../ccf-common/references/handoff-modes.md, and ../ccf-common/references/task-modes.md. Reuse shared rules already in context.
For a new scientific method or architecture concept, GPT Image 2 remains the default first-pass renderer unless the user requests pure SVG/code-first output or opts out. Use the verified host capability and its privacy/image instructions. Do not label an unknown backend as GPT Image 2. Existing authorization covers necessary generation and requested reconstruction; offer extra formats only when outside the request.
Core Rule
Create readable visuals from supplied content. Preserve values, units, uncertainty, exact labels, method modules, and typed connections. Quantitative plots use reproducible code. Missing data or topology requires the relevant evidence owner; do not invent it to complete a composition. Preserve scientific terminology and canonical uppercase acronyms; use natural case for ordinary labels.
Classify the destination as paper mechanism figure, presentation/poster, or README/outreach. Paper figures show representations and computation. Choose visual grammar from the method, not a fixed stage-card template.
Modes And Selective References
Read only the relevant sections below. A local edit starts from the existing source and applicable QA; it does not reload the complete generation workflow.
| Mode | Use and reference |
|---|---|
visual-contract |
Non-trivial content/evidence/output decisions: references/visual-contract.md. |
figure-design, python-plotting |
Numerical plots: select from references/python-plot-recipes.md, then import the needed recipe from resources/python/ccfa_plot_recipes.py; read implementation only to debug or adapt it. references/plot-inspiration-map.md is optional for an unresolved chart choice. |
architecture-generation |
New concept: references/architecture-diagram-generation.md; paper-specific grammar only from references/paper-vs-presentation-diagrams.md. |
pure-svg-generation |
Explicit deterministic route: use the supported topology and vector authoring source directly. |
editable-reconstruction |
Semantic reconstruction sections in references/architecture-diagram-generation.md; load references/editable-pptx.md only for PPTX. |
reference-layout-blueprint |
Supplied reference composition: references/reference-layout-blueprint.md; use references/adaptive-architecture-style.md when prompt refinement is needed. |
icon-system |
Native primitives, reusable licensed icons, or necessary custom assets: references/icon-system.md. |
table-design, layout-integration |
Supplied values, panel/float/caption placement: references/figure-table-layout.md. |
render-qa |
Inspect the requested formats using the relevant checks in references/render-qa.md. |
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.
- agents/openai.yaml 665 B
- references/66520a88cbdb4da9f45191ef3ef8f613.jpg 163 KB
- references/adaptive-architecture-style.md 6.1 KB
- references/architecture-diagram-generation.md 8.9 KB
- references/bf744d51b865c5e705b25fc558407cf9.jpg 135 KB
- references/editable-pptx.md 4.7 KB
- references/f32d9325102aaf8ffab93d4b613c3318.jpg 142 KB
- references/figure-table-layout.md 2.6 KB
- references/icon-system.md 3.6 KB
- references/image.png 620 KB
- references/palette-and-accessibility.md 2.2 KB
- references/paper-vs-presentation-diagrams.md 3.9 KB
- references/plot-inspiration-map.md 3.6 KB
- references/python-plot-recipes.md 5.8 KB
- references/reference-layout-blueprint.md 2.9 KB
- references/render-qa.md 5.0 KB
- references/visual-contract.md 4.3 KB
- resources/python/ccfa_plot_recipes.py 26 KB runs code
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.
- 5d ago Changed · -40 lines · -70 tokens per session ca858eab9495
- 11d ago First seen · 99 lines · 156 tokens per session scan A 9f080287f4af
ccf-visual-composer is a skill published in the GitHub repository mikubaka88/CCFA-Skills (2,395 stars, last pushed 4d ago), licensed MIT. It adds 86 tokens to every session and 1,411 once invoked, about $0.0004 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 2026-08-30.
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