steph-smith-voice

steph-smith-voice is a skill for Claude Code from jpeslar1/john-peslar-ai-skills. It costs 248 tokens per session (3,765 once invoked), scanned A, original, MIT.

A writing guide based on the documented style of Steph Smith, an internet-trend researcher and newsletter writer. It combines surprising statistics, source-based interpretation, questions, and notes about uncertainty.

In plain words
What is it for?
Use it to draft trend essays, research-led newsletters, data-rich social posts, and explanations of niche opportunities supported by statistics.
Why use it?
It helps make data-led writing more careful and understandable by connecting each figure to its meaning and limits. It also encourages naming sources rather than presenting claims without context.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the voice-dna plugin — 79 skills shipped together

Good fit Use it to draft trend essays, research-led newsletters, data-rich social posts, and explanations of niche opportunities supported by statistics.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jpeslar1/john-peslar-ai-skills/steph-smith-voice
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 jpeslar1/john-peslar-ai-skills --skill steph-smith-voice
Clone the repo
git clone --depth 1 https://github.com/jpeslar1/john-peslar-ai-skills

Made for: Claude Code.

Or install voice-dna, the plugin that ships this one along with the rest of its 79 skills.

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 steph-smith-voice

README.md
[![agentmods](https://agentmods.dev/badge/skills/jpeslar1/john-peslar-ai-skills/steph-smith-voice/github.svg)](https://agentmods.dev/skills/jpeslar1/john-peslar-ai-skills/steph-smith-voice)
Your own site
<a href="https://agentmods.dev/skills/jpeslar1/john-peslar-ai-skills/steph-smith-voice"><img src="https://agentmods.dev/badge/skills/jpeslar1/john-peslar-ai-skills/steph-smith-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.

agentmods 80×15 button for steph-smith-voice

Your own site · 80×15
<a href="https://agentmods.dev/skills/jpeslar1/john-peslar-ai-skills/steph-smith-voice"><img src="https://agentmods.dev/badge/skills/jpeslar1/john-peslar-ai-skills/steph-smith-voice.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 248 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,765 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 $0.00248 $0.03765
Opus 5.5 $0.00099 $0.01506
Sonnet 5.5 $0.00050 $0.00753
Haiku 4.5 $0.00025 $0.00377

Measured 18d ago against content hash 221a82d0e1e8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

steph-smith-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 18d 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.

steph-smith-voice/SKILL.md · 165 lines

How it starts

The opening of the file, as written. The whole thing — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Steph Smith Voice DNA

Steph Smith is the internet sleuth who writes about trends the way a careful analyst talks at dinner: a surprising figure with its unit and source, a short interpretation, a question that moves the argument forward, and an honest note about where the data is thin. The essays run long (2,000-5,000 words) and land each section on a line you could quote; the X posts compress the same move into a stat, a reframe, and an emoji bullet list; the product copy pitches by explaining why the thing exists rather than shouting. She credits her sources by name and closes with an invitation to join in, not a hard sell. Ground every output in references/voice-corpus.md (verbatim excerpts plus two ASR items) and references/source-map.md (sources and refresh notes).

Voice DNA

Cadence and rhythm

  • Essays: 3-5 sentence paragraphs averaging ~19 words per sentence, joined with semicolons and "so", each paragraph ending on the takeaway: "Greatness is instead a reflection of a period of effort, since greatness in a single instance can be reduced to luck."
  • X: one line per thought, ~11 words, a blank line between them, a stat then a reframe: "As of 2020, Americans saved over 60m commute hours per day with remote work. / Per day!"
  • The paragraph often turns on a question she immediately answers: "So then the question then becomes, how does one activate this process?"
  • Long build, short landing. Sections end in an aphorism of 5-10 words ("People are mostly good.", "When a skill becomes obsolete, so do you.").
  • Spoken (scripted monologue): shorter declaratives and a triplet ("to computers that fit your pocket, to the cost of sequencing the entire human genome").
  • Native length: a 2,000-5,000 word essay with "Consider This" style headers and a named framework; a 5-15 post thread; a 2-paragraph product pitch.

Hook patterns

  1. The dated stat with a protagonist - "In 1994, Jeff Bezos famously spotted a stat that made him leave his high-paying PE job to start Amazon: The Internet was growing 2300% per year." Deploy as a thread or essay opener; the number needs a year, a unit, and a source.
  2. The search-volume proof - "each month 1000 people search 'how to be great', 260 people search 'how to become perfect', and 2400 people search 'how to be the best'". Deploy to prove a desire exists before arguing about it.
  3. The counterintuitive observation - "Interestingly enough, I realized that it was not the sporadic highs that were exceptional, but instead the long hauls". Deploy to open an essay built on a personal data review.
  4. The blunt product truth - "Most ebooks suck. Not always bc the content is bad, but bc you never actually read them." Deploy to open a pitch; the next line must be the reason the product fixes it.
  5. The if-I-were-starting-today - "If I were starting out with zero Internet skills today, I'd learn to make beautiful, dynamic data visualizations." Deploy for advice threads; follow with numbered proof points.
  6. The ask to the audience - "What are the generation-defining stats of today? I'll post a few to kick things off..." Deploy when the user wants replies, not reach.

Read the full file on GitHub · 165 lines

Files

What ships with it

2 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.

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. 18d ago First seen · 165 lines · 248 tokens per session scan A 221a82d0e1e8

Subscribe to this mod's changes

steph-smith-voice is a skill published in the GitHub repository jpeslar1/john-peslar-ai-skills (12 stars, last pushed 18d ago), licensed MIT. It adds 248 tokens to every session and 3,765 once invoked, about $0.0010 per session on Opus 5.5. 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 2026-10-19.

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