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 RightBlogger/bloggingskills --skill brand-voicegit clone --depth 1 https://github.com/RightBlogger/bloggingskillsWrote 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/rightblogger/bloggingskills/brand-voice)<a href="https://agentmods.dev/skills/rightblogger/bloggingskills/brand-voice"><img src="https://agentmods.dev/badge/skills/rightblogger/bloggingskills/brand-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/rightblogger/bloggingskills/brand-voice"><img src="https://agentmods.dev/badge/skills/rightblogger/bloggingskills/brand-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 | $0.00124 | $0.01107 |
| Opus 5 | $0.00062 | $0.00553 |
| Sonnet 5 | $0.00025 | $0.00221 |
| Haiku 4.5 | $0.00012 | $0.00111 |
Grade A, and why
brand-voice 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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand voice
You capture a real person's or brand's writing voice from samples and turn it into a reusable profile the other skills write in. A captured voice is the most valuable context this collection holds. It overrides the generic "sound human" rules, because the goal stops being "avoid AI tells" and becomes "sound like this specific writer."
Initial assessment
- Read
.agents/blog-context.mdif it exists. The Voice section is where the profile belongs; update it rather than starting a parallel file. For more than one author, use.agents/voice-<name>.mdand note which posts use which. - Get samples. Ask for three to five pieces the author actually wrote: posts, emails, threads, or a URL to their writing. More and longer is better. Without samples you can't capture a voice, so don't invent one. If the user has none, capture stated preferences by interview and label the profile aspirational until real samples exist.
- Check you have enough. Count the words you actually have. Under about 400, capture only the traits the samples clearly support, label the profile "low-confidence (thin samples)" in the Voice section, and tell the user which dimensions you couldn't observe (usually transitions and how they sustain a long middle). Never fabricate a trait to reach a count.
Method
- Read for what repeats, not what it's about. Ignore the topics; study the moves. Read at least a few hundred words before you generalize, so you catch habits rather than one-off choices. Separate voice from belief: a trait must be a portable mechanic (sentence shape, person, punctuation, an opening move), not a claim only this author can make ("I've done this at four companies") or a topic-bound opinion. Capture the shape ("earns authority by citing specific reps"), never the specific claim, so the skills that write later never fabricate experience.
- Profile the voice across concrete, imitable dimensions:
- Rhythm: typical sentence length and how much it varies (short and punchy, long and winding, or a deliberate mix).
- Formality and person: first or second person, contractions, slang, how close the writer stands to the reader.
- Signature moves: rhetorical questions, fragments, asides, humor, analogies, direct address, strong openings. This is the fingerprint.
- Vocabulary: plain or technical, the words they reach for, the words they avoid.
- Stance: how much opinion, hedging, or certainty they show.
- Structure: how they open, how they transition, how they land an ending.
- Punctuation habits: dashes, parentheses, lists, emphasis. Note what they actually do, even when it breaks a generic rule.
- Pull two or three short verbatim lines that are unmistakably theirs, to anchor the profile in real examples.
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 · 80 lines · 124 tokens per session scan A 830d06aca35b
brand-voice is a skill published in the GitHub repository RightBlogger/bloggingskills (2 stars, last pushed 2mo ago), licensed MIT. It adds 124 tokens to every session and 1,107 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 2026-08-31.
Other skills, from other repositories
affiliate-blog-builder
Write SEO-optimized affiliate blog articles, product reviews, comparison posts, listicles, and how-to guides. Triggers on: "write a blog post about", "review of [product]", "best [category] article", "comparison blog", "affiliate blog", "SEO article", "write a review", "product roundup", "blog content for affiliate"…
comparison-post-writer
Write "X vs Y" comparison blog posts that help readers choose between two competing products. Triggers on: "write a comparison post", "X vs Y blog post", "compare [product A] and [product B]", "which is better [A] or [B]", "head to head comparison", "[product] vs [product] article", "comparison review", "write a…
how-to-tutorial-writer
Write how-to guides and tutorials that naturally integrate affiliate product recommendations. Triggers on: "write a how-to guide", "tutorial for [task]", "step by step guide to [goal]", "how to [verb] with [product]", "write a tutorial blog post", "guide on how to [task]", "beginner guide to [topic]", "walkthrough for…
listicle-generator
Write "Top N best..." listicle articles for affiliate marketing with mini-reviews, pricing, pros/cons, and CTAs per entry. Triggers on: "write a best of list", "top 10 [category] tools", "best [product category] article", "roundup post", "listicle about [category]", "write a top tools article", "best [N] alternatives…
content-decay-detector
Monitor existing content for ranking drops and trigger refresh workflows. Triggers on: "check for content decay", "which content needs updating", "content refresh", "ranking drops", "traffic decline", "stale content", "content audit", "what to refresh", "outdated content", "content performance check", "update old…
content-moat-calculator
Estimate pages needed for topical authority. Go/no-go decision before investing months in content. Triggers on: "how much content do I need", "topical authority estimate", "content moat", "how many articles", "content gap analysis", "can I compete in this niche", "content investment calculator", "is this niche worth…