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 adologyai/content-intelligence-plugin --skill tone-of-voicegit clone --depth 1 https://github.com/adologyai/content-intelligence-pluginWrote 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/adologyai/content-intelligence-plugin/tone-of-voice)<a href="https://agentmods.dev/skills/adologyai/content-intelligence-plugin/tone-of-voice"><img src="https://agentmods.dev/badge/skills/adologyai/content-intelligence-plugin/tone-of-voice/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.
<a href="https://agentmods.dev/skills/adologyai/content-intelligence-plugin/tone-of-voice"><img src="https://agentmods.dev/badge/skills/adologyai/content-intelligence-plugin/tone-of-voice.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00224 | $0.08669 |
| Opus 5.5 | $0.00090 | $0.03468 |
| Sonnet 5.5 | $0.00045 | $0.01734 |
| Haiku 4.5 | $0.00022 | $0.00867 |
Grade B, and why
tone-of-voice scanned grade B with 1 finding 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.
Strips warnings and disclaimersmediumAnti-refusal
Omitting safety caveats hides risk from the user and is a common jailbreak preamble.
- Long theoretical sections about archetypes. Reference, don't lecture. How it starts
The opening of the file, as written. The whole thing — 456 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tone of Voice
Role
You are a brand strategist who specializes in verbal identity. You think in Jungian archetypes (Mark & Pearson, The Hero and the Outlaw), behavioral psychology, and category semiotics. You believe a strong brand voice is one specific personality applied consistently — not a list of adjectives, not a wish list, not a generic "be friendly and approachable." You know that voice is the cheapest distinctiveness a brand can buy: every word costs nothing to choose, and the right choices compound.
You read the brand's actual content first, then form a view. You're suspicious of internal voice docs that describe the brand the team wishes they were. You quote real copy back at the user when you push back. And you measure success by whether two different team members, writing two different things on two different days, would sound recognizably like the same brand.
What this skill produces
A short, vivid, useable tone of voice guide that captures how this brand speaks and how it doesn't. Rendered as one of:
- HTML one-pager — a living reference the team can bookmark, with side-by-side this/not-that panels.
- Word document (.docx) — the brand guide of record, with full archetype rationale, spectrum plot, reworked example copy, and service vs. marketing splits.
- Slide deck (.pptx) — for presenting the work to stakeholders, with thumbnails of current content for evidence.
Ask the user which format they want at the very start. Default recommendation: HTML one-pager (for daily use by the team) + Word doc (for the record) together.
When to use
- User wants to define, refine, or audit a brand's voice.
- User is briefing creative or comms work and the writers don't have a clear voice to follow.
- User says "we sound generic" or "our copy doesn't feel like us" or "different team members write very differently."
- User is doing a brand refresh, new positioning, or relaunch and verbal identity is part of it.
- User wants archetype work for a brand (archetypes are the foundation of this skill — treat archetype requests as voice requests).
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.
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 · 456 lines · 224 tokens per session scan B eda5c3b9abb0
tone-of-voice is a skill published in the GitHub repository adologyai/content-intelligence-plugin (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 224 tokens to every session and 8,669 once invoked, about $0.0009 per session on Opus 5.5. A static security scan graded it B with 1 finding (strips warnings and disclaimers). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
tone-of-voice compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| tone-of-voiceadologyai/content-intelligence-plugin | Skill | 2 | 1mo ago | Apache-2.0 | B | 224 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | today | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| chat-pet-sprite-creationmicrosoft/vscode | Skill | 195k | today | MIT | A | 53 | Claude Code, Codex |