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visual-generation

visual-generation is a skill for Claude Code, Codex from code2rich/agentwaker-xiaohongshu-operator. It costs 33 tokens per session (213 once invoked), scanned A, original, MIT.

A shared workflow for producing and inspecting visual files from structured requests. It can route requests to image generation, evidence screenshots, diagrams, or charts and records information about the result.

In plain words
What is it for?
Use it to generate raster images, capture evidence screenshots, make diagrams or charts, and produce a manifest describing the assets.
Why use it?
It helps ensure that required visual outputs are actually created, checked, and documented instead of being replaced by an unverified description or placeholder.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 5repo 3mo ago A scan 33 tokens original MIT

Good fit Use it to generate raster images, capture evidence screenshots, make diagrams or charts, and produce a manifest describing the assets.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/code2rich/agentwaker-xiaohongshu-operator/visual-generation
View source ↗ code2rich/agentwaker-xiaohongshu-operator
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 code2rich/agentwaker-xiaohongshu-operator --skill visual-generation
Clone the repo
git clone --depth 1 https://github.com/code2rich/agentwaker-xiaohongshu-operator

Made for: Claude Code, 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.

agentmods badge for visual-generation

README.md
[![agentmods](https://agentmods.dev/badge/skills/code2rich/agentwaker-xiaohongshu-operator/visual-generation/github.svg)](https://agentmods.dev/skills/code2rich/agentwaker-xiaohongshu-operator/visual-generation)
Your own site
<a href="https://agentmods.dev/skills/code2rich/agentwaker-xiaohongshu-operator/visual-generation"><img src="https://agentmods.dev/badge/skills/code2rich/agentwaker-xiaohongshu-operator/visual-generation/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.

agentmods 80×15 button for visual-generation

Your own site · 80×15
<a href="https://agentmods.dev/skills/code2rich/agentwaker-xiaohongshu-operator/visual-generation"><img src="https://agentmods.dev/badge/skills/code2rich/agentwaker-xiaohongshu-operator/visual-generation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 213 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 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00033 $0.00213
Opus 5.5 $0.00013 $0.00085
Sonnet 5.5 $0.00007 $0.00043
Haiku 4.5 $0.00003 $0.00021

Measured 2mo ago against content hash d43966799897, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

visual-generation 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 2mo 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.

capabilities/visual-generation/SKILL.md · 23 lines

What it actually says

Visual Generation

Contract

Accept a request conforming to schemas/visual-request.schema.json. Produce actual local assets and a manifest conforming to schemas/visual-manifest.schema.json; a prompt or brief alone is not a completed result.

Routing

Select the smallest suitable adapter among generated raster images, evidence screenshots, diagrams, and charts. Preserve source data, prompts or render inputs, dimensions, hashes, and inspection results.

Boundaries

This capability may write local artifacts but does not upload, publish, mutate an account, choose a platform-specific editorial strategy, or declare a consuming workflow complete. The role wrapper owns those decisions and approvals.

Failure

Report missing adapters, failed generation, unreadable text, unsupported claims, and absent evidence. Do not replace a required real asset with a placeholder or mark an uninspected asset as passed.

Files

What ships with it

4 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.

  1. 2mo ago First seen · 23 lines · 33 tokens per session scan A d43966799897

Subscribe to this mod's changes

visual-generation is a skill published in the GitHub repository code2rich/agentwaker-xiaohongshu-operator (5 stars, last pushed 3mo ago), licensed MIT. It adds 33 tokens to every session and 213 once invoked, about $0.0001 per session on Opus 5.5. 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.

Creative and media
Related

visual-generation compared with skills from other repositories

visual-generation next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
visual-generationcode2rich/agentwaker-xiaohongshu-operatorSkill53mo agoMITA33Claude Code, Codex
imagegenopenai/codexSkill134ktodayApache-2.0A113Codex
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79kyesterdayMITA200Claude Code, Codex
playwright-climicrosoft/playwrightSkill100kyesterdayApache-2.0A19Claude Code
browser-automationopenclaw/openclawSkill394ktodayMITA36Claude Code
systematic-debuggingobra/superpowersSkill314k4d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code