warm-editorial

warm-editorial is a skill for Claude Code, Codex from ssmurfgg04-gif/context-m. It costs 0 tokens per session (775 once invoked), scanned A, a copy of warm-editorial, Apache-2.0.

A visual design system for warm, magazine-like webpages using serif typography, terracotta accents, and paper-like backgrounds.

In plain words
What is it for?
It helps style long-form articles, interviews, editorial pages, and brand-led marketing content, with accessibility guidance included.
Why use it?
It gives engineers and designers consistent rules for building readable editorial and brand pages.

Skill for Claude CodeCodex

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

Good fit It helps style long-form articles, interviews, editorial pages, and brand-led marketing content, with accessibility guidance included.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ssmurfgg04-gif/context-m/warm-editorial
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 ssmurfgg04-gif/context-m --skill warm-editorial
Clone the repo
git clone --depth 1 https://github.com/ssmurfgg04-gif/context-m

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 warm-editorial

README.md
[![agentmods](https://agentmods.dev/badge/skills/ssmurfgg04-gif/context-m/warm-editorial/github.svg)](https://agentmods.dev/skills/ssmurfgg04-gif/context-m/warm-editorial)
Your own site
<a href="https://agentmods.dev/skills/ssmurfgg04-gif/context-m/warm-editorial"><img src="https://agentmods.dev/badge/skills/ssmurfgg04-gif/context-m/warm-editorial/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 warm-editorial

Your own site · 80×15
<a href="https://agentmods.dev/skills/ssmurfgg04-gif/context-m/warm-editorial"><img src="https://agentmods.dev/badge/skills/ssmurfgg04-gif/context-m/warm-editorial.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 775 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 100% copy Near-identical to another mod 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 $0.00000 $0.00775
Opus 5 $0.00000 $0.00387
Sonnet 5 $0.00000 $0.00155
Haiku 4.5 $0.00000 $0.00077

Measured 9d ago against content hash fc61f80bc0d2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

warm-editorial 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.

Origin

This is a copy

100% identical to warm-editorial — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/design/design-systems/style-skills/warm-editorial/SKILL.md · 86 lines

How it starts

The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Warm Editorial Design System Skill (Universal)

Mission

You are an expert design-system guideline author for Warm Editorial. Create practical, implementation-ready guidance that can be directly used by engineers and designers. This system is hand-authored; treat its DESIGN.md as the source of truth and read it for the full token set, component rules, and do/don't guidance.

Brand

Warm Editorial — warm, unhurried, magazine-like.

Style Foundations

  • Visual style: editorial, serif-led, warm, long-form
  • Typography fonts: primary=serif, display=serif, mono=monospace
  • Color palette: terracotta accent, warm off-white paper, near-black warm ink
  • Key tokens: background=#FAF7F2, foreground=#1C1A17, accent=terracotta
  • Spacing / layout: generous whitespace, long-form reading rhythm

Accessibility

WCAG 2.2 AA, keyboard-first interactions, visible focus states, semantic HTML before ARIA, reduced-motion support, 44px+ touch targets, high-contrast support.

Writing Tone

warm, unhurried, magazine-like

Rules: Do

  • prefer semantic tokens over raw values
  • preserve visual hierarchy
  • keep interaction states explicit
  • read DESIGN.md for the authoritative palette, type, and component rules

Rules: Don't

  • avoid low contrast text
  • avoid inconsistent spacing rhythm
  • avoid ambiguous labels
  • do not invent hex values outside this system's palette

Expected Behavior

  • Follow the foundations first, then component consistency.
  • When uncertain, prioritize accessibility and clarity over novelty.
  • Provide concrete defaults and explain trade-offs when alternatives are possible.
  • Keep guidance opinionated, concise, and implementation-focused.

Guideline Authoring Workflow

  1. Restate the design intent in one sentence before proposing rules.
  2. Define tokens and foundational constraints before component-level guidance.
  3. Specify component anatomy, states, variants, and interaction behavior.
  4. Include accessibility acceptance criteria and content-writing expectations.
  5. Add anti-patterns and migration notes for existing inconsistent UI.
  6. End with a QA checklist that can be executed in code review.

Read the full file on GitHub · 86 lines

Files

What ships with it

1 file 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. 9d ago First seen · 86 lines · 0 tokens per session scan A fc61f80bc0d2

Subscribe to this mod's changes

warm-editorial is a skill published in the GitHub repository ssmurfgg04-gif/context-m (2 stars, last pushed yesterday), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 775 tokens. A static security scan graded it A with 0 findings. It is 100% identical to warm-editorial, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

ai-style

A Chinese-language writing guide for producing or revising reader-facing text such as product announcements, public-account articles, emails, and README files. It focuses on reducing patterns that make writing sound machine-generated.

bojieli/ai-agent-book · 25 tokens

data_analysis

A data-analysis guide for doing mathematical calculations and descriptive statistics with confirmed, sourced data. Descriptive statistics summarise data using measures such as totals, averages, or ranges.

bojieli/ai-agent-book · 19 tokens

gsd-sketch

Sketch UI/design ideas with throwaway HTML mockups, or propose what to sketch next (frontier mode).

open-gsd/gsd-core · 27 tokens

design-an-interface

Produce 3+ radically different designs for a module, API, or interface, compare them in prose, and synthesize a recommendation. Use when asked to "design an interface", "shape this API", "design it twice", "explore module boundaries", or when planning a new deep module and the first idea is unlikely to be the best.…

open-gsd/gsd-pi · 99 tokens

01-plan

Turn a request, ticket, or file into a phased implementation plan. Use to plan a feature before building, or to turn a ticket into phases. Do NOT use to write code or review a diff.

ai-driven-dev/framework · 44 tokens

impeccable

Create distinctive, production-grade frontend interfaces with high design quality. Generates creative, polished code that avoids generic AI aesthetics. Use when the user asks to build web components, pages, artifacts, posters, or applications, or when any design skill requires project context. Call with 'craft' for…

wrg32786/aigent-os · 90 tokens