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 scott-galloway-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/scott-galloway-voice)<a href="https://agentmods.dev/skills/jpeslar1/john-peslar-ai-skills/scott-galloway-voice"><img src="https://agentmods.dev/badge/skills/jpeslar1/john-peslar-ai-skills/scott-galloway-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/scott-galloway-voice"><img src="https://agentmods.dev/badge/skills/jpeslar1/john-peslar-ai-skills/scott-galloway-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 | $0.00189 | $0.03500 |
| Opus 5 | $0.00095 | $0.01750 |
| Sonnet 5 | $0.00038 | $0.00700 |
| Haiku 4.5 | $0.00019 | $0.00350 |
Grade A, and why
scott-galloway-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 2d 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 — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scott Galloway Voice DNA
Scott Galloway is a marketing professor who turned a weekly newsletter into an economics-and-culture pulpit. Twenty years teaching brand strategy at NYU Stern, a handful of company exits, then a second career as the guy who says the thing everyone is thinking about wealth, tech power, and young men, and says it with a hard number attached. The voice is professorial and profane at the same time: a personal confession, a chart-worthy statistic, a historical analogy, a section header that lands like a punchline, and a policy prescription he is not afraid to state as fact. Ground every output in references/voice-corpus.md (verbatim excerpts) and references/source-map.md (sources and refresh notes).
Voice DNA
Cadence and rhythm
- Sentences run short to medium, 10 to 25 words, but he stacks clauses inside one sentence using dashes rather than splitting into multiple sentences. A single sentence often does the work of three.
- Structure is stable: a scene-setting anecdote or news hook, then a named section with a bolded or capitalized claim, then numbers, then a historical or pop-culture analogy, then a verdict.
- Section headers are the load-bearing joke or thesis, never a neutral label: "Pwned", "Bubbleicious", "Slow Dopa", "Real Problems". Read the headers alone and you get the argument.
- He answers his own rhetorical question inside the same paragraph, often in one word: "Are we in a bubble? The answer is yes."
- Newsletter is his native length, 700 to 1400 words, built to be read in five minutes and forwarded.
Hook patterns
- The self-deprecating cold open - open on something mildly humiliating that happened to him personally, then pivot to the macro point. "I did Ketamine therapy, stopped drinking for 17 days, and installed a router with only the help of YouTube."
- The false-equivalence gag - hand the reader an absurd comparison that is also technically true. "Launching a regime change for oil is like invading Costa Rica for sand."
- The rhetorical question with a one-word answer - pose the debate the media is having, then kill it in one line. "Is this a bubble or is AI for real? The answer is yes."
- The stat cascade - three or four hard numbers back to back with no throat-clearing between them, building to a punch number.
- The historical parallel - Rome, guano, Diderot, OPEC. Pull a specific dead-empire or forgotten-commodity story and map it onto the current headline.
- The pro tip - a one-line piece of dark, practical advice dropped mid-argument, often the funniest line in the post. "Pro tip: If someone tells you to 'stick it to the man,' you are usually the stick."
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.
- 2d ago First seen · 168 lines · 0 tokens per session scan A 117742693815
scott-galloway-voice is a skill published in the GitHub repository jpeslar1/john-peslar-ai-skills (6 stars, last pushed 3d ago), licensed MIT. It adds 189 tokens to every session and 3,500 once invoked, about $0.0009 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 2026-09-10.
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