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.
npx skills add openviglet/turing-ce --skill brand-content-studiogit clone --depth 1 https://github.com/openviglet/turing-ceWrote 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.
[](https://agentmods.dev/skills/openviglet/turing-ce/brand-content-studio)<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>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 | $0.00127 | $0.01644 |
| Opus 5 | $0.00063 | $0.00822 |
| Sonnet 5 | $0.00025 | $0.00329 |
| Haiku 4.5 | $0.00013 | $0.00164 |
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.
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.
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.
-
Classify the format. Map the request to one of:
article,video-script,newsletter,one-pager. If ambiguous, ask one clarifying question, then proceed. -
Load the rules for that format. Read
references/format-specs.mdand find the section for the chosen format (required sections, target word count, tone overrides). Readreferences/brand-voice.mdonce per session for the global voice rules.
What ships with it
11 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.
- assets/templates/article.md 376 B
- assets/templates/newsletter.md 299 B
- assets/templates/one-pager.md 322 B
- assets/templates/video-script.md 393 B
- references/brand-voice.md 2.2 KB
- references/format-specs.md 1.7 KB
- references/legal-disclaimers.md 1.4 KB
- scripts/build_mindmap.py 2.0 KB runs code
- scripts/export.py 3.7 KB runs code
- scripts/pick_quote.py 1.8 KB runs code
- scripts/scaffold.py 1.7 KB runs code
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.
- 7d ago First seen · 152 lines · 127 tokens per session scan A 1d1f128a5420
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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