What is codex-visual-production?

A visual-production workflow that turns a validated Xiaohongshu image request into inspected local raster images. Raster images are ordinary pixel-based files such as PNGs; Xiaohongshu is a social platform for user posts.

Validating a visual request, generating conceptual images, inspecting the resulting assets, and saving them inside the specified Xiaohongshu work run.

It lets the agent complete a prepared visual request using built-in image generation without an OpenAI API key or separate image service.

codex-visual-production — Skill for Codex by code2rich

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 codex-visual-production

Clone the repo

git clone --depth 1 https://github.com/code2rich/agentwaker-xiaohongshu-operator

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/code2rich/agentwaker-xiaohongshu-operator/codex-visual-production/github.svg)](https://agentmods.dev/skills/code2rich/agentwaker-xiaohongshu-operator/codex-visual-production)

Your own site

<a href="https://agentmods.dev/skills/code2rich/agentwaker-xiaohongshu-operator/codex-visual-production"><img src="https://agentmods.dev/badge/skills/code2rich/agentwaker-xiaohongshu-operator/codex-visual-production/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/code2rich/agentwaker-xiaohongshu-operator/codex-visual-production"><img src="https://agentmods.dev/badge/skills/code2rich/agentwaker-xiaohongshu-operator/codex-visual-production.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 112 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,241 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.

Model	Per session	Once invoked
Fable 5.1	$0.00112	$0.01241
Opus 5.5	$0.00045	$0.00496
Sonnet 5.5	$0.00022	$0.00248
Haiku 4.5	$0.00011	$0.00124

Measured 2mo ago against content hash 55644afad234, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

codex-visual-production 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.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/test_visual_inbox.py, scripts/visual_inbox.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.

xiaohongshu-operator-skills/codex-visual-production/SKILL.md · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Codex Visual Production

Purpose

Turn a validated Xiaohongshu visual request from Kimi or another runtime into inspected local assets by using Codex's built-in ImageGen entitlement and deterministic local rendering, without an OpenAI API key.

Trigger Conditions

Use only when the current Codex task has a valid Xiaohongshu Workdir v1 run containing input/visual-request.json with status: pending_codex.

Required Inputs

Bound AGENT_WORK_DIR and the current run's run.yaml.
A protocol v1 request with frozen article revision, placements, exact copy, art direction, avoid list, candidate budget, and generated-concept evidence policy.
User approval before private or unpublished inputs are sent to the built-in generator.

Contract

Operate only inside the current Xiaohongshu run resolved by AGENT_WORK_DIR. Read references/request-schema.md, then validate input/visual-request.json with scripts/visual_inbox.py before generating anything.

Treat this as an asynchronous file handoff:

Kimi or another agent writes the request and stops at status: pending_codex.
Codex validates and claims the request.
Codex uses its built-in imagegen skill/tool when that capability is actually available.
Codex stores generated sources under intermediate/visuals/, deterministic final images under output/assets/, and inspection evidence under evidence/visuals/.
Codex completes the request with exact paths, SHA-256 values, provenance, review state, and residual issues.

Never require or read OPENAI_API_KEY. The Codex product entitlement is not an API and must not be exposed as one. If built-in ImageGen is unavailable, leave the request pending and report codex_imagegen_unavailable.

Workflow

Run python3 scripts/visual_inbox.py validate --request "$AGENT_WORK_DIR/input/visual-request.json" --platform xiaohongshu.
Run compile. It must reject vague visual contracts and write intermediate/visuals/compiled-prompt.json plus compiled-prompt.txt. Never hand a free-form upstream prompt directly to ImageGen.
Inspect the passing compiler receipt, then run claim with executor codex. Claim rejects missing or stale compiled prompts.
Read the repository xiaohongshu-visuals skill and apply its platform, rights, crop, and evidence rules.
Use ImageGen only for conceptual raster subjects, scenes, light, texture, or edits. Generate no evidence-looking interface, terminal, benchmark, logo, or unverifiable result.
Keep Chinese headlines, exact claims, diagrams, screenshots, and data deterministic. Add them locally after selecting a background.
Inspect every candidate at full size and feed-thumbnail size. Reject generic AI motifs, template sameness, unreadable copy, weak subject hierarchy, artifacts, or insufficient relationship to the note.
Store the selected files inside the current run. Run complete with the final files and a review summary.
Hand evidence/visual-result.json and ordered assets back to xiaohongshu-visuals, then to publishing-checklist.

Read the full file on GitHub · 93 lines

Files

What ships with it

5 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.

2mo ago First seen · 93 lines · 112 tokens per session scan A 55644afad234

Subscribe to this mod's changes

codex-visual-production is a skill published in the GitHub repository code2rich/agentwaker-xiaohongshu-operator (5 stars, last pushed 3mo ago), licensed MIT. It adds 112 tokens to every session and 1,241 once invoked, about $0.0004 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

codex-visual-production next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
codex-visual-productioncode2rich/agentwaker-xiaohongshu-operator	Skill	5	3mo ago	MIT	A	112	Codex
imagegenopenai/codex	Skill	134k	today	Apache-2.0	A	113	Codex
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	yesterday	MIT	A	200	Claude Code, Codex
playwright-climicrosoft/playwright	Skill	100k	yesterday	Apache-2.0	A	19	Claude Code
browser-automationopenclaw/openclaw	Skill	394k	today	MIT	A	36	Claude Code
systematic-debuggingobra/superpowers	Skill	314k	4d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code