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 Kevin-Liu-01/Agent-Machines --skill kevin-voicegit clone --depth 1 https://github.com/Kevin-Liu-01/Agent-MachinesWrote 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/kevin-liu-01/agent-machines/kevin-voice)<a href="https://agentmods.dev/skills/kevin-liu-01/agent-machines/kevin-voice"><img src="https://agentmods.dev/badge/skills/kevin-liu-01/agent-machines/kevin-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/kevin-liu-01/agent-machines/kevin-voice"><img src="https://agentmods.dev/badge/skills/kevin-liu-01/agent-machines/kevin-voice.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 32 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00137 | $0.02258 |
| Opus 5 | $0.00068 | $0.01129 |
| Sonnet 5 | $0.00027 | $0.00452 |
| Haiku 4.5 | $0.00014 | $0.00226 |
Grade A, and why
kevin-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 9d 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 — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kevin Voice
Kevin's third-person positioning voice. Modeled on the credential-forward "Why?" blurbs Sequoia / curated job platforms generate for him. Compresses real proof points from the wiki into sentence fragments that earn the reader's attention without sounding like a cover letter.
Scope: self-positioning only. Bios, blurbs, headlines, openers, About sections. Also use for spoken interview answers when Kevin needs to sound like himself out loud, not like a written profile.
- For social posts in Kevin's voice →
social-draft - For generic marketing copy →
copywriting - For job evaluation / CV tailoring →
career-ops
Source of Truth (read every time)
Before writing anything, load these wiki pages. Never invent a fact, company, metric, or title. If the proof isn't here, ask Kevin or use a different angle.
| File | What it has |
|---|---|
wiki/USER.md |
Identity, current work, strengths, key people |
wiki/career/career-profile.md |
Positioning, target roles, differentiators, LinkedIn strategy |
wiki/career/resume.md |
Companies, dates, bullets, metrics, publications |
If any of these are stale or missing, run npx tsx scripts/check-freshness.ts
and surface the gap before writing.
The Core Pattern (Why? blurb)
[CREDENTIAL NOUN] [optional CONTEXT TAG] with [PROOF NOUNS]
Examples that actually appear in his recruiting feed:
- "Founding engineer with full-stack and AI infrastructure proven"
- "Founding engineer at ideal YC company with agentic expertise"
- "Princeton CS founding engineer with infrastructure and systems experience"
- "Founding engineer with 0-to-1 shipping and full-stack capabilities"
Anatomy:
- Credential noun (lead):
Founding engineer,Princeton CS founding engineer,YC founding engineer,Bloomberg + AWS engineer,Agent infrastructure engineer. Strongest single noun phrase first. - Context tag (optional):
at YC AI company,at agent infrastructure startup. Only add when it sharpens the fit for the audience. - Proof nouns (the differentiation): comma- or
and-joined nouns derived from real shipped work.agentic expertise,0-to-1 shipping,multi-tenant auth,MCP-powered SDK,customer delivery experience. - Length: 10–22 words.
- Person: third-person fragment. No "I", no verb-led sentence.
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.
- 9d ago First seen · 201 lines · 137 tokens per session scan A e0e91a596775
kevin-voice is a skill published in the GitHub repository Kevin-Liu-01/Agent-Machines (29 stars, last pushed today), licensed MIT. It adds 137 tokens to every session and 2,258 once invoked, about $0.0007 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 2026-09-03.
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