Kubb is a modular code-generation framework that turns OpenAPI descriptions into type-safe TypeScript code, Zod schemas, and TanStack Query integrations. It is used by TypeScript developers to generate client code and related interfaces from API specifications. The catalogue contains extensions such as skills, commands, hooks, agents, and a plugin that support Kubb workflows.
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 agentmods add skills/kubb-labs/kubb/humanizernpx skills add kubb-labs/kubb --skill humanizergit clone --depth 1 https://github.com/kubb-labs/kubbWrote 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/kubb-labs/kubb/humanizer)<a href="https://agentmods.dev/skills/kubb-labs/kubb/humanizer"><img src="https://agentmods.dev/badge/skills/kubb-labs/kubb/humanizer.svg" alt="Measured on agentmods" 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 | $0.00032 | $0.00395 |
| Opus 5 | $0.00016 | $0.00198 |
| Sonnet 5 | $0.00006 | $0.00079 |
| Haiku 4.5 | $0.00003 | $0.00040 |
Grade A, and why
humanizer 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 5d 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.
What it actually says
Humanizer
Identifies and removes AI-generated text patterns so writing sounds natural and specific instead of generic and hollow.
Process
- Read the input text.
- Identify AI patterns using the references below.
- Rewrite the problematic sections.
- Do a final anti-AI pass: ask "what makes this obviously AI generated?", name the remaining tells, and fix them.
Ensure the result sounds natural read aloud, varies sentence structure, uses specific details, and keeps the right tone.
Adding voice
Removing patterns is only half the job. Sterile, voiceless writing is just as obvious. Have opinions and react to facts instead of only reporting them. Vary sentence rhythm: short punchy sentences, then longer ones that take their time. Acknowledge complexity ("it works, but it also feels like a workaround"), use specific details, and let natural asides appear.
Pattern references
Load the category you need:
| Reference | Covers |
|---|---|
| content-patterns.md | Undue significance, empty credibility signals, -ing-participle filler, marketing language, vague attributions, generic filler sections |
| language-patterns.md | AI vocabulary, copula avoidance, negative parallelisms, rule-of-three, elegant variation, false ranges, filler and hedging, words to cut |
| style-patterns.md | Dashes and semicolons as punctuation, unnecessary bold, inline-header lists, title-case headings, emojis |
| communication-patterns.md | Chatbot artifacts, sycophantic openers |
What ships with it
4 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.
- 5d ago First seen · 39 lines · 32 tokens per session scan A 709b53271536
humanizer is a skill published in the GitHub repository kubb-labs/kubb (1,791 stars, last pushed yesterday), licensed MIT. It adds 32 tokens to every session and 395 once invoked, about $0.0002 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 2026-08-30.
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