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 jpeslar1/john-peslar-ai-skills --skill steph-smith-voicegit clone --depth 1 https://github.com/jpeslar1/john-peslar-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/jpeslar1/john-peslar-ai-skills/steph-smith-voice)<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.
<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>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 | $0.00248 | $0.03765 |
| Opus 5.5 | $0.00099 | $0.01506 |
| Sonnet 5.5 | $0.00050 | $0.00753 |
| Haiku 4.5 | $0.00025 | $0.00377 |
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.
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
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
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.
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.
- 18d ago First seen · 165 lines · 248 tokens per session scan A 221a82d0e1e8
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.
steph-smith-voice compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| steph-smith-voicejpeslar1/john-peslar-ai-skills | Skill | 12 | 18d ago | MIT | A | 248 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |