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 Stijnman/grok-custom-skills --skill text-humanizergit clone --depth 1 https://github.com/Stijnman/grok-custom-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/stijnman/grok-custom-skills/text-humanizer)<a href="https://agentmods.dev/skills/stijnman/grok-custom-skills/text-humanizer"><img src="https://agentmods.dev/badge/skills/stijnman/grok-custom-skills/text-humanizer/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/stijnman/grok-custom-skills/text-humanizer"><img src="https://agentmods.dev/badge/skills/stijnman/grok-custom-skills/text-humanizer.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 | $0.00040 | $0.00544 |
| Opus 5 | $0.00020 | $0.00272 |
| Sonnet 5 | $0.00008 | $0.00109 |
| Haiku 4.5 | $0.00004 | $0.00054 |
Grade A, and why
text-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 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 — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Text Humanizer
When to Use
Use this skill to make prose clearer, warmer, or more natural for a real audience. It is appropriate for revising drafts, adapting a tone, reducing overly formal wording, and improving English or Dutch readability.
Do not use this skill to misrepresent authorship, evade academic or workplace disclosure requirements, or make claims about bypassing AI-detection systems.
Workflow
- Identify the intended audience, channel, language, and desired tone.
- Preserve facts, names, figures, and the author’s original point of view.
- Replace vague, repetitive, or needlessly formal phrasing with direct language.
- Vary sentence and paragraph rhythm only where it improves readability.
- Return the revised draft and, when useful, a brief note describing the tone changes.
Writing Principles
| Principle | Apply by |
|---|---|
| Clarity | Prefer concrete verbs, plain language, and logical paragraph flow. |
| Voice | Match the requested register, from professional to conversational. |
| Fidelity | Keep claims, intent, and factual content unchanged unless the user asks otherwise. |
| Accessibility | Avoid jargon where a simpler alternative is available. |
| Integrity | Encourage appropriate attribution and disclosure where authorship matters. |
Language Notes
For Dutch, use natural contemporary phrasing and select je or u according to the intended formality. For English, use contractions only when the requested tone is conversational. In either language, do not introduce deliberate errors or invented personal details.
Output
Return a polished version of the text. If the user requests a comparison, provide a compact before-and-after explanation focused on readability, tone, and structure.
Error Handling
| Situation | Response |
|---|---|
| The target audience is unclear | Ask one concise clarification question or provide two labeled tone options. |
| The text contains factual claims | Preserve them and flag any ambiguity instead of inventing support. |
| The user asks to conceal AI assistance | Decline the concealment request and offer transparent editing help. |
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 · 53 lines · 40 tokens per session scan A 9730a8be67cf
text-humanizer is a skill published in the GitHub repository Stijnman/grok-custom-skills (9 stars, last pushed yesterday), licensed MIT. It adds 40 tokens to every session and 544 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 2026-09-03.
Other skills, from other repositories
goal-meta-skill
A guide for turning an unclear or complex task into a reviewable /goal instruction for coding agents.
workflow-to-skill
Turn a goal and existing CLI, MCP, HTTP, API, or external workflow capabilities into one reviewable reusable Agent Skill. Use when the user asks to create or revise a workflow SKILL.md without a dedicated interface for invocation or result presentation. A webpage, UI, image, or report produced as workflow output does…
rss-digest
Collect RSS or Atom sources and produce a traceable intelligence digest through the configured Weft workflow.
workflow-docs-sync
A project-documentation synchronisation workflow for rebuilding project facts from a local Git folder, GitHub repository, or current working directory, then updating core workflow documents.
workflow-to-skill-with-surface
Create or revise one reusable workflow Skill plus an optional harness-native Prompt Surface that maps a dedicated form, Page, button set, command UI, or result view to ordinary Skill messages and Harness results. Use only when the user explicitly requests a dedicated interface for invoking the Skill or presenting its…
setup-matt-pocock-skills
A setup skill that configures engineering skills for a repository, including its issue tracker, labels, and documentation layout. A repository is the project folder managed by version control.