brand-content-studio

brand-content-studio is a skill for Claude Code from openviglet/turing-ce. It costs 127 tokens per session (1,644 once invoked), scanned A, original, Apache-2.0.

A content-writing tool for Acme Corp that produces articles, video scripts, newsletters, and one-pagers using the company's required style and rules.

In plain words
What is it for?
Use it to draft, restructure, polish, or export Acme Corp content, extract pull quotes, or build topic mind maps.
Why use it?
It helps keep different kinds of editorial and marketing content consistent with the brand.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to draft, restructure, polish, or export Acme Corp content, extract…

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Install with agentmods
npx agentmods add skills/openviglet/turing-ce/brand-content-studio
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 openviglet/turing-ce --skill brand-content-studio
Clone the repo
git clone --depth 1 https://github.com/openviglet/turing-ce

Made for: Claude Code.

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 brand-content-studio

README.md
[![agentmods](https://agentmods.dev/badge/skills/openviglet/turing-ce/brand-content-studio.svg)](https://agentmods.dev/skills/openviglet/turing-ce/brand-content-studio)
Your own site
<a href="https://agentmods.dev/skills/openviglet/turing-ce/brand-content-studio"><img src="https://agentmods.dev/badge/skills/openviglet/turing-ce/brand-content-studio.svg" alt="Measured on agentmods" height="20"></a>
Per session 127 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,644 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 $0.00127 $0.01644
Opus 5 $0.00063 $0.00822
Sonnet 5 $0.00025 $0.00329
Haiku 4.5 $0.00013 $0.00164

Measured 7d ago against content hash 1d1f128a5420, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

brand-content-studio 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 7d ago.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/build_mindmap.py, scripts/export.py, scripts/pick_quote.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.

turing-marketplace/anthropic-skills/brand-content-studio/SKILL.md · 152 lines

How it starts

The opening of the file, as written. The whole thing — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Brand Content Studio

Produce publication-ready, on-brand content for Acme Corp across four formats: article, video-script, newsletter, and one-pager. This file is the entry point; load the bundled references and run the bundled scripts only when the task actually needs them (progressive disclosure — keep context lean).

Folder layout

brand-content-studio/
├── SKILL.md                     ← you are here (always loaded when relevant)
├── references/
│   ├── brand-voice.md           ← tone, beat model, do/don't vocabulary
│   ├── format-specs.md          ← per-format section + length rules
│   └── legal-disclaimers.md     ← mandatory disclaimers by content category
├── scripts/
│   ├── scaffold.py              ← build a beat-structured markdown skeleton
│   ├── pick_quote.py            ← extract the best pull quote from source text
│   ├── build_mindmap.py         ← turn abstracts into a Mermaid mind-map
│   └── export.py                ← render a draft to pdf / html / md
└── assets/
    └── templates/
        ├── article.md
        ├── video-script.md
        ├── newsletter.md
        └── one-pager.md

When to use / when NOT to use

Use when the request is to create or transform Acme narrative content, pick a quote, build a topic map, or export a draft.

Do NOT use when: the user wants code, spreadsheets/data analysis, content for a brand other than Acme, or anything that isn't prose/editorial. In those cases, say so and stop — do not force this skill.

Core workflow

Follow these steps in order. Skip a step only if the user already supplied its output.

  1. Classify the format. Map the request to one of: article, video-script, newsletter, one-pager. If ambiguous, ask one clarifying question, then proceed.

  2. Load the rules for that format. Read references/format-specs.md and find the section for the chosen format (required sections, target word count, tone overrides). Read references/brand-voice.md once per session for the global voice rules.

Read the full file on GitHub · 152 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. 7d ago First seen · 152 lines · 127 tokens per session scan A 1d1f128a5420

Subscribe to this mod's changes

brand-content-studio is a skill published in the GitHub repository openviglet/turing-ce (20 stars, last pushed 6d ago), licensed Apache-2.0. It adds 127 tokens to every session and 1,644 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 2026-08-30.

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