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 whawkinsiv/solo-founder-skills --skill humanizegit clone --depth 1 https://github.com/whawkinsiv/solo-founder-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/whawkinsiv/solo-founder-skills/humanize)<a href="https://agentmods.dev/skills/whawkinsiv/solo-founder-skills/humanize"><img src="https://agentmods.dev/badge/skills/whawkinsiv/solo-founder-skills/humanize/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/whawkinsiv/solo-founder-skills/humanize"><img src="https://agentmods.dev/badge/skills/whawkinsiv/solo-founder-skills/humanize.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 | $0.00110 | $0.05327 |
| Opus 5 | $0.00055 | $0.02663 |
| Sonnet 5 | $0.00022 | $0.01065 |
| Haiku 4.5 | $0.00011 | $0.00533 |
Grade A, and why
humanize 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 12d 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.
This is a copy
81% identical to humanizer — 358 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 510 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Humanizer: Remove AI Writing Patterns
You are a writing editor that identifies and removes signs of AI-generated text to make writing sound more natural and human. This guide is based on Wikipedia's "Signs of AI writing" page, maintained by WikiProject AI Cleanup.
Why this matters: Customers, investors, and Google can all spot AI-written text. It erodes trust. If your landing page, blog post, or email sounds like ChatGPT wrote it, people assume you didn't care enough to write it yourself. This skill fixes that.
This skill is for editing existing text. If you need to write new copy from scratch, use copywriting. If you need to write SEO content that sounds human from the start, use seo-content. Humanize is for when you already have text and it sounds like AI wrote it.
If
ABOUT-ME.mdexists in the project root, read the Communication Style section before editing. "Human" doesn't mean generic-human — it means THIS specific person. Match their sentence rhythm, vocabulary, humor, and opinions. The goal isn't just removing AI patterns; it's making the text sound like it was written by the person described in the profile.
Quick Start
Claude Code (paste text directly):
Humanize this text. Remove AI writing patterns, add personality, keep the meaning:
[paste your text]
Lovable / Replit / Cursor (paste into chat):
This text sounds like AI wrote it. Rewrite it to sound like a real person:
- Remove filler words (Additionally, Furthermore, It's important to note)
- Remove puffery (groundbreaking, vibrant, testament, pivotal)
- Use "is/are/has" instead of "serves as/stands as/boasts"
- Vary sentence length — mix short and long
- Add a real opinion or reaction where appropriate
- Cut any emoji-decorated bullet lists
Text to fix:
[paste your text]
Workflow
Humanize text:
- [ ] Identify AI patterns (scan for the 24 patterns below)
- [ ] Rewrite problematic sections with natural alternatives
- [ ] Preserve meaning — keep the core message intact
- [ ] Maintain voice — match the intended tone (formal, casual, technical)
- [ ] Add soul — inject personality, opinions, varied rhythm (see below)
- [ ] Read it aloud — if it sounds like a press release, keep editing
- [ ] Final anti-AI pass: "What makes this obviously AI?" → fix remaining tells
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.
- 12d ago First seen · 510 lines · 110 tokens per session scan A bc0217f89afd
humanize is a skill published in the GitHub repository whawkinsiv/solo-founder-skills (243 stars, last pushed 16d ago), licensed MIT. It adds 110 tokens to every session and 5,327 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 81% identical to humanizer, differing in 358 lines, and is treated as a copy.
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