visual-planning

visual-planning is a skill for Codex from zhuangguangdahyh-dotcom/content-ops-studio. It costs 36 tokens per session (1,012 once invoked), scanned A, original, MIT.

A planning guide for deciding how approved text should be arranged across a multi-page image post. It produces a versioned visual plan and prepares the first page for production.

In plain words
What is it for?
Use it to choose a visual direction, plan page layouts and backgrounds, check text fit, revise a plan, or hand off the cover page for production.
Why use it?
It checks that the copy is approved, fits the planned pages, and has the required visual details before images are made.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to choose a visual direction, plan page layouts and backgrounds, check text fit, revise a plan, or hand off the cover page for production.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zhuangguangdahyh-dotcom/content-ops-studio/visual-planning
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 zhuangguangdahyh-dotcom/content-ops-studio --skill visual-planning
Clone the repo
git clone --depth 1 https://github.com/zhuangguangdahyh-dotcom/content-ops-studio

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.

agentmods badge for visual-planning

README.md
[![agentmods](https://agentmods.dev/badge/skills/zhuangguangdahyh-dotcom/content-ops-studio/visual-planning/github.svg)](https://agentmods.dev/skills/zhuangguangdahyh-dotcom/content-ops-studio/visual-planning)
Your own site
<a href="https://agentmods.dev/skills/zhuangguangdahyh-dotcom/content-ops-studio/visual-planning"><img src="https://agentmods.dev/badge/skills/zhuangguangdahyh-dotcom/content-ops-studio/visual-planning/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-planning

Your own site · 80×15
<a href="https://agentmods.dev/skills/zhuangguangdahyh-dotcom/content-ops-studio/visual-planning"><img src="https://agentmods.dev/badge/skills/zhuangguangdahyh-dotcom/content-ops-studio/visual-planning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,012 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 $0.00036 $0.01012
Opus 5.5 $0.00014 $0.00405
Sonnet 5.5 $0.00007 $0.00202
Haiku 4.5 $0.00004 $0.00101

Measured 2mo ago against content hash a9727344616c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

visual-planning 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.

plugins/content-ops-studio/skills/visual-planning/SKILL.md · 60 lines

How it starts

The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Purpose

Convert one exact COPY_APPROVED Content Package and G3-approved Cover Copy Package into a versioned Visual System, page-specific plans, explicit asset requirements, layout/quality evidence and a First-Page Production Handoff.

Modes

Support PLAN, REVISE_PLAN, VALIDATE, and GET_FIRST_PAGE_HANDOFF.

Use this skill when

The Operator asks to plan visuals for G3-approved Content, choose a Visual Mode, define a multi-page layout/background system, check whether approved text fits, revise a visual direction, validate an existing plan, or prepare the Cover production handoff.

Do not use this skill when

Content has not passed G3; the request changes copy or page count; the task is Painpoint research, image generation, first-page approval, finalization or publishing. Route copy/page-count changes to Content Revision. Report image/G4/Renderer/attachment/publishing requests as unavailable in this phase.

Required sequence

  1. Call content_ops_doctor, then content_ops_get_visual_context.
  2. Require current G3, exact Content/Copy/Cover Copy versions, specific Subject/Audience/Painpoint context, 4–8 contiguous pages and Page 1 Cover.
  3. Call content_ops_plan_cover_conversion, then content_ops_plan_visual_direction; retain at least three candidates unless the Operator fixed a mode. Each candidate must declare conversion strategy, background semantic role, text prominence, text-to-image ratio, 310×414 and 186×248 thumbnail targets, and a material difference reason. Resolve typography and composition from the current Operator request, Project/Profile/brand, content needs, Industry/Platform rules, and only then the Universal Default. A fallback candidate set must declare materially different composition families, text regions, asset structures and reading paths.
  4. The Host authors the selected Visual System, Page Visual Plans, Reference Manifest, Asset Requirements and planning-only Layout Feasibility/Quality evidence.
  5. Call content_ops_submit_visual_plan; this is a local-only write.
  6. Show the exact plan/hash and obtain explicit Feishu-write confirmation.
  7. Call content_ops_finalize_visual_plan; it may update only the bounded visual fields and must read-verify protected fields.
  8. Call content_ops_verify_visual_plan, then content_ops_get_first_page_handoff.
  9. Show the direction, score, limitations and handoff readiness. Stop; do not enter image production automatically.

Read the full file on GitHub · 60 lines

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 · 60 lines · 36 tokens per session scan A a9727344616c

Subscribe to this mod's changes

visual-planning is a skill published in the GitHub repository zhuangguangdahyh-dotcom/content-ops-studio (0 stars, last pushed 2mo ago), licensed MIT. It adds 36 tokens to every session and 1,012 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.

Related

visual-planning compared with skills from other repositories

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