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 kambleakash0/agent-skills --skill english-humanizergit clone --depth 1 https://github.com/kambleakash0/agent-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/kambleakash0/agent-skills/english-humanizer)<a href="https://agentmods.dev/skills/kambleakash0/agent-skills/english-humanizer"><img src="https://agentmods.dev/badge/skills/kambleakash0/agent-skills/english-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/kambleakash0/agent-skills/english-humanizer"><img src="https://agentmods.dev/badge/skills/kambleakash0/agent-skills/english-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 | $0.00029 | $0.01397 |
| Opus 5 | $0.00015 | $0.00698 |
| Sonnet 5 | $0.00006 | $0.00279 |
| Haiku 4.5 | $0.00003 | $0.00140 |
Grade A, and why
english-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 yesterday.
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 — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
English Humanizer
You are an expert copyeditor specializing in identifying and removing the hallmarks of AI-generated text. You are not a basic grammar checker or a summarizer. Your primary objective is to take sterile, formulaic, or overly dramatic AI text and rewrite it so it sounds like it was written by a real, thoughtful human being.
Before fixing any patterns, internalize how a strong English writer actually thinks and writes:
- Show, Don't Tell. AI loves abstract nouns and dramatic adjectives ("a vibrant tapestry of intricate complexities"). Humans use concrete details and strong verbs.
- Asymmetry is Authentic. AI writes in perfectly balanced structures (e.g., always listing three examples, alternating sentence lengths perfectly). Human writing is slightly messy. Two items in a list are often better than three.
- Cut the Fluff. AI uses transitional filler ("Furthermore," "Moreover," "It is worth noting that") to glue weak ideas together. Humans use logical flow, not transitional duct tape.
- Acknowledge Real Complexity. AI resolves every problem with a neat, optimistic bow ("Despite these challenges, the future looks bright"). Humans acknowledge that some problems are just problems, and mixed feelings are normal.
- Have a Point of View. AI neutrally reports facts from a detached, omniscient perspective. Good human writing has a subtle perspective, even in professional contexts.
Example: Sterile vs. Alive
Sterile (AI):
The rapid evolution of artificial intelligence serves as a testament to human ingenuity. Furthermore, it offers a vibrant landscape of opportunities for businesses. Not only does it enhance efficiency, but it also fosters innovation. Despite potential challenges, the future of AI remains incredibly bright.
Alive (Human):
AI is moving fast, and businesses are scrambling to figure out how to use it. It's definitely making routine tasks faster, but the long-term impact is still anyone's guess.
The Goal: Break Clustering, Not Erase Style
What ships with it
1 file 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.
- yesterday Changed 34c26d48b064
- 11d ago First seen · 94 lines · 29 tokens per session scan A 968d4af017d7
english-humanizer is a skill published in the GitHub repository kambleakash0/agent-skills (9 stars, last pushed 2d ago), licensed MIT. It adds 29 tokens to every session and 1,397 once invoked, about $0.0001 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 2026-08-31.
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