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 tranfu-labs/tranfu-skills --skill visual-buildergit clone --depth 1 https://github.com/tranfu-labs/tranfu-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/tranfu-labs/tranfu-skills/visual-builder)<a href="https://agentmods.dev/skills/tranfu-labs/tranfu-skills/visual-builder"><img src="https://agentmods.dev/badge/skills/tranfu-labs/tranfu-skills/visual-builder/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/tranfu-labs/tranfu-skills/visual-builder"><img src="https://agentmods.dev/badge/skills/tranfu-labs/tranfu-skills/visual-builder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00127 | $0.04189 |
| Opus 5 | $0.00063 | $0.02094 |
| Sonnet 5 | $0.00025 | $0.00838 |
| Haiku 4.5 | $0.00013 | $0.00419 |
Grade A, and why
visual-builder scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 262 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Visual Builder
Build a reusable style candidate from visual evidence without carrying over its identity or subject. Treat the reference as evidence for visual grammar, never as a generation reference or a source to imitate literally.
Companion Preflight
Run this preflight once at the start of each task, before validating inputs. Set a task-local CompanionContext and never write it into the candidate bundle.
- Mark
visual-dna-systemorpost-illustration-imagesavailable when the current runtime lists that skill. - For any unresolved skill, check for a readable
SKILL.mdat${CODEX_HOME:-$HOME/.codex}/skills/<skill-name>/SKILL.md. Do not search unrelated directories. - When both skills are available, continue silently.
- When one or both skills are missing, issue one concise, non-blocking recommendation that lists all and only the missing skills, calls them optional, explains the applicable fallbacks below, and states that the current task will continue. Do not ask the user to choose, do not install automatically, and do not repeat the recommendation in the same task.
Treat this as installation onboarding, independent of the current input_mode or installation intent. Preflight availability means only that a skill was discovered; validate the downstream scripts separately if installation is later requested. A later target-skill-unavailable result is an installation blocker, not a repeated onboarding recommendation.
Use the companions only for these boundaries:
visual-dna-system: preferred upstream extractor for image input. When missing, use the built-in extraction path in Section 1.post-illustration-images: optional downstream registry and production skill. When missing, complete and approve a portable candidate bundle but do not describe it as installed or production-ready.
Inputs
Require all named inputs before compiling:
input_mode:imageorvisual-dna.source: readable image path forimage, or JSON/Markdown containing avisual_dna_systemobject forvisual-dna.target_platform: exactlywechat,xhs,zhihu,weibo, ortoutiao; never infer it from the source ratio.output_root: directory in which to createvisual-builder-output/<style_id>/.- Optional overrides before review:
style_id,display_name,purpose,aliases,default_use,brand_default_enabled, andmake_default. Mappurposeonly tostyle.md## Purpose; mapdefault_usetocandidate.style.defaultUseand the registry'sdefaultUse. Mapmake_defaultto optionalcandidate.style.makeDefault; omit it or usefalseunless the user explicitly requests this style as the platform default.
What ships with it
13 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.
- .gitignore 9 B
- agents/openai.yaml 332 B
- assets/icon.png 500 B
- assets/icon.svg 447 B
- README.md 3.1 KB
- README.zh.md 2.8 KB
- references/candidate-contract.md 11 KB
- references/compiler.md 4.9 KB
- references/qa.md 7.5 KB
- scripts/build-contact-sheet.mjs 3.8 KB runs code
- scripts/mark-approved.mjs 4.5 KB runs code
- scripts/validate-candidate.mjs 44 KB runs code
- tests/validate-candidate.test.mjs 25 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.
- 9d ago First seen · 262 lines · 127 tokens per session scan A 2909e133738b
visual-builder is a skill published in the GitHub repository tranfu-labs/tranfu-skills (2 stars, last pushed 2d ago), licensed MIT. It adds 127 tokens to every session and 4,189 once invoked, about $0.0006 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 2026-09-03.
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