Borrowing it
Nothing to install: this file belongs to toviralideasyt7/wordsolverx-z-ai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/toviralideasyt7/wordsolverx-z-ai/main/.opencode/human-wiriting/SKILL.mdgit clone --depth 1 https://github.com/toviralideasyt7/wordsolverx-z-aiWrote 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/toviralideasyt7/wordsolverx-z-ai/human-wiriting)<a href="https://agentmods.dev/skills/toviralideasyt7/wordsolverx-z-ai/human-wiriting"><img src="https://agentmods.dev/badge/skills/toviralideasyt7/wordsolverx-z-ai/human-wiriting/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/toviralideasyt7/wordsolverx-z-ai/human-wiriting"><img src="https://agentmods.dev/badge/skills/toviralideasyt7/wordsolverx-z-ai/human-wiriting.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 | $0.00028 | $0.02052 |
| Opus 5.5 | $0.00011 | $0.00821 |
| Sonnet 5.5 | $0.00006 | $0.00410 |
| Haiku 4.5 | $0.00003 | $0.00205 |
Grade A, and why
human-writing 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 2mo 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 — 277 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Human-Style Writing
This skill helps you write content that reads like it was written by a real person with opinions, personality, and specific knowledge, not a corporate blog generator or AI assistant trying to sound helpful.
Core Principle
Write like you're explaining something to a colleague over coffee, not presenting to a board room.
Good writing is specific, opinionated, and conversational. Bad writing is generic, safe, and sounds like every other tech blog.
What Makes Writing Sound AI-Generated
Patterns to Avoid
1. Over-Enthusiastic Openings
"We're thrilled to announce..."
"Today, we're excited to share..."
"I'm delighted to introduce..."
"Join us on this exciting journey..."
"We built X because Y kept breaking."
"Here's what we learned shipping X to production."
"Most migration tools get you 70% of the way. Here's how we get to 95%."
2. Vague Claims Without Evidence
"This revolutionary approach transforms how developers work."
"Leveraging cutting-edge AI technology..."
"A game-changing solution for modern development."
"Unlock the full potential of your workflow."
"Nango used this to migrate 47 repos in 3 days."
"We tested this on Next.js App Router migration - reduced manual fixes from 800 to 40."
"Stripe's migration guide is 12,000 words. This gets it down to 200 lines of code."
3. Corporate Buzzword Soup
"Empowering developers to leverage synergies..."
"Best-in-class solutions for enterprise-grade..."
"Seamlessly integrate with your existing ecosystem..."
"Drive innovation through collaborative paradigms..."
"Works with whatever you're already using."
"Detects edge cases your regex won't catch."
"One command. No config file. No surprises."
4. Unnecessary Hedging
"This might help you potentially improve..."
"You could possibly consider..."
"This may or may not be useful..."
"Some users have reported that..."
"This cuts migration time in half."
"Use this when codemods aren't enough."
"Three users reported this edge case. We fixed it."
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.
- 2mo ago First seen · 277 lines · 28 tokens per session scan A 7a71a879d942
human-writing is a skill published in the GitHub repository toviralideasyt7/wordsolverx-z-ai (2 stars, last pushed 2mo ago), licensed MIT. It adds 28 tokens to every session and 2,052 once invoked, about $0.0001 per session on Opus 5.5. 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.
human-writing compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| human-writingtoviralideasyt7/wordsolverx-z-ai | Skill | 2 | 2mo ago | MIT | A | 28 | OpenCode |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | today | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| chat-pet-sprite-creationmicrosoft/vscode | Skill | 195k | today | MIT | A | 53 | Claude Code, Codex |