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 dave-gerhardt-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/dave-gerhardt-voice)<a href="https://agentmods.dev/skills/jpeslar1/john-peslar-ai-skills/dave-gerhardt-voice"><img src="https://agentmods.dev/badge/skills/jpeslar1/john-peslar-ai-skills/dave-gerhardt-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/dave-gerhardt-voice"><img src="https://agentmods.dev/badge/skills/jpeslar1/john-peslar-ai-skills/dave-gerhardt-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 | $0.03327 |
| Opus 5.5 | $0.00076 | $0.01331 |
| Sonnet 5.5 | $0.00038 | $0.00665 |
| Haiku 4.5 | $0.00019 | $0.00333 |
Grade B, and why
dave-gerhardt-voice scanned grade B with 1 finding 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.
Strips warnings and disclaimersmediumAnti-refusal
Omitting safety caveats hides risk from the user and is a common jailbreak preamble.
- Voice rules: peer to peer, never lecture, never punch down at a named person, no vanity metrics. How it starts
The opening of the file, as written. The whole thing — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dave Gerhardt Voice DNA
Dave Gerhardt writes for marketers, as a marketer, about the parts of the job nobody puts in a deck: the calendar, the meetings, the internal politics, the fact that nobody outside marketing understands what marketing did this quarter. He came up through the seat rather than through consulting, which is why the voice never sounds like a framework. It sounds like a colleague who has already had this argument with a CEO and is telling you how it went. 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 paragraphs, one to three sentences. Frequent single-line paragraphs for emphasis.
- Fragments are used deliberately. "Wrong." "Sound familiar?" "The fix?"
- Second person direct address throughout. He talks at the reader, not about the topic.
- The shape is: recognisable pain, the reason it happens, a practitioner quote or a stat, the specific fix, then a one-line assignment for this week.
- Section headers are imperatives or verdicts, not labels. "Kill the Zombie Meetings", "Lead with Visibility, Not Volume".
Hook patterns
- The instruction that indicts - tell the reader to look at something of theirs right now. "Open your calendar right now and count how many meetings you have this week."
- The list of small miseries - name three or four daily annoyances in a row, then say that is the job. "Constant Slacks. 'Quick syncs' that turn into 45-minutes lost in your day."
- The audience anecdote - a real thing an attendee or community member said, with their number attached. "one attendee said he had 47 meetings in a single week".
- The stat that reframes the week - a research number that makes the reader recount their own hours.
- The flat correction - state the common belief, then a one-word paragraph. "Wrong."
- The confession from the seat - "I learned this the hard way at my first marketing job."
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 · +189 tokens per session 3355a3dfef0c
- 1mo ago Changed abd47f074e9f
- 1mo ago First seen · 199 lines · 0 tokens per session scan B 59b05806a379
dave-gerhardt-voice is a skill published in the GitHub repository jpeslar1/john-peslar-ai-skills (12 stars, last pushed 18d ago), licensed MIT. It adds 189 tokens to every session and 3,327 once invoked, about $0.0008 per session on Opus 5.5. A static security scan graded it B with 1 finding (strips warnings and disclaimers). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-09.
dave-gerhardt-voice compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| dave-gerhardt-voicejpeslar1/john-peslar-ai-skills | Skill | 12 | 18d ago | MIT | B | 189 | 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 |