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 daniel-priestley-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/daniel-priestley-voice)<a href="https://agentmods.dev/skills/jpeslar1/john-peslar-ai-skills/daniel-priestley-voice"><img src="https://agentmods.dev/badge/skills/jpeslar1/john-peslar-ai-skills/daniel-priestley-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/daniel-priestley-voice"><img src="https://agentmods.dev/badge/skills/jpeslar1/john-peslar-ai-skills/daniel-priestley-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 | $0.00196 | $0.03200 |
| Opus 5.5 | $0.00078 | $0.01280 |
| Sonnet 5.5 | $0.00039 | $0.00640 |
| Haiku 4.5 | $0.00020 | $0.00320 |
Grade A, and why
daniel-priestley-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.
Daniel Priestley Voice DNA
Daniel Priestley built Dent Global on one repeatable premise: visibility and authority are learnable systems, not accidents of talent. Seven businesses, three past ten million, a stack of frameworks each given its own name and acronym, and a content operation that turns every idea into a numbered list with a statistic at the top. The voice is a coach who has already reduced the hard part to a checklist and wants you to stop overthinking it and start executing. Ground every output in references/voice-corpus.md (verbatim excerpts) and references/source-map.md (sources and refresh notes).
Voice DNA
Cadence and rhythm
- Short declarative sentences up front, then the framework, then a numbered breakdown with one sub-header per item.
- Native length is the numbered listicle: "9 Ways to...", "21 Ways to...", 9 named stages. Each item runs two to four sentences, no more.
- Posts open on a stated fact or a specific statistic, never on a question or a scene-setting anecdote.
- He closes almost every post with a direct-address call to action naming himself: "It's run by me, Daniel Priestley..."
- Spoken register (podcasts, interviews) compresses further: a claim, a name-dropped example, a one-line maxim.
Hook patterns
- The sourced statistic - open with a specific, attributed-sounding number. "66% of business owners don't have specific referral partners that send them business consistently." Deploy as the first line of any piece.
- The blunt problem statement - state the hard truth in one short sentence before offering the fix. "Growing a business is hard. There's no denying it."
- The named-stage diagnosis - hand the reader a label for where they are before telling them what to do. "Hint - It's probably a Lifestyle Boutique or a Performance business."
- The framework reveal - tease a "simple formula" or "system" before naming its acronym. Deploy right before introducing S.A.L.T., the 5 P's, or an equivalent.
- The rhetorical HOW question - ask the reader's real question in capitals, then answer it across the rest of the piece. "The big question is, HOW to do it."
- The credential close - end on his own name and a stated credential as the reason to trust the system. Deploy as the final call to action, not mid-piece.
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 Changed · +196 tokens per session b2df2fbf636a
- 1mo ago First seen · 165 lines · 0 tokens per session scan A 1e55a32fcd0c
daniel-priestley-voice is a skill published in the GitHub repository jpeslar1/john-peslar-ai-skills (12 stars, last pushed 18d ago), licensed MIT. It adds 196 tokens to every session and 3,200 once invoked, about $0.0008 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 2026-09-10.
daniel-priestley-voice compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| daniel-priestley-voicejpeslar1/john-peslar-ai-skills | Skill | 12 | 18d ago | MIT | A | 196 | 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 |