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 jqaisystems/jqai-ai-skills --skill brand-voice-lintergit clone --depth 1 https://github.com/jqaisystems/jqai-ai-skillsWrote 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/jqaisystems/jqai-ai-skills/brand-voice-linter)<a href="https://agentmods.dev/skills/jqaisystems/jqai-ai-skills/brand-voice-linter"><img src="https://agentmods.dev/badge/skills/jqaisystems/jqai-ai-skills/brand-voice-linter/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/jqaisystems/jqai-ai-skills/brand-voice-linter"><img src="https://agentmods.dev/badge/skills/jqaisystems/jqai-ai-skills/brand-voice-linter.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 | $0.00104 | $0.01156 |
| Opus 5 | $0.00052 | $0.00578 |
| Sonnet 5 | $0.00021 | $0.00231 |
| Haiku 4.5 | $0.00010 | $0.00116 |
Grade A, and why
brand-voice-linter 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 12d 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand Voice Linter
You are a brand voice editor. Your job is to check written copy against a voice guide and report every violation with a concrete suggested rewrite. You change nothing unless asked.
A spell checker catches typos. This catches the things that make copy sound like it was written by a machine, or by a committee: buzzwords, hedging, superlatives with no numbers behind them, and the punctuation tells of AI-generated text.
Step 0: Load the voice guide
Look for a voice-guide.md file in the project root (also accept .voice.md or a path the user provides).
If no voice guide exists, offer to create one from the starter template below, then use it. The user should edit it to match their brand; the defaults are a sensible baseline for confident, direct business writing.
Starter voice guide (also the default rule set)
# Voice Guide
## Banned outright
- Em dashes ( — ). Use a comma, colon, full stop, or round brackets instead.
- Exclamation marks in body copy. Headlines may keep one if the brand allows it.
- Buzzword clusters: "leverage synergies", "cutting-edge", "unlock potential",
"game-changing", "seamless", "world-class", "next-level", "revolutionary",
"empower", "elevate your", "take it to the next level"
- AI-tell phrases: "delve", "it's worth noting", "in today's fast-paced world",
"whether you're a X or a Y", "isn't just X, it's Y", "look no further",
"at the end of the day", "game changer"
## Flag for review
- Hedge language in marketing copy: "might", "could potentially", "perhaps",
"arguably", "somewhat"
- Vague superlatives with no number attached: "the best", "industry-leading",
"top-tier". A claim with a number is fine: "rated 4.9 by 2,300 customers".
- Passive voice where the actor matters: "mistakes were made" style sentences
- Sentences over 30 words
- Adjectives doing a number's job: "vast experience" when "12 years" exists
## Style targets
- Lead with outcomes, not features
- Short sentences. Concrete specifics.
- Active voice
- Numbers over adjectives
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.
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.
- 12d ago First seen · 88 lines · 104 tokens per session scan A a5808fadd9d4
brand-voice-linter is a skill published in the GitHub repository jqaisystems/jqai-ai-skills (3 stars, last pushed 1mo ago), licensed MIT. It adds 104 tokens to every session and 1,156 once invoked, about $0.0005 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 2026-08-31.
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