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 docwriter-org/plain-writing-skill --skill plain-writinggit clone --depth 1 https://github.com/docwriter-org/plain-writing-skillWrote 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/docwriter-org/plain-writing-skill/plain-writing)<a href="https://agentmods.dev/skills/docwriter-org/plain-writing-skill/plain-writing"><img src="https://agentmods.dev/badge/skills/docwriter-org/plain-writing-skill/plain-writing/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/docwriter-org/plain-writing-skill/plain-writing"><img src="https://agentmods.dev/badge/skills/docwriter-org/plain-writing-skill/plain-writing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00119 | $0.03360 |
| Opus 5 | $0.00060 | $0.01680 |
| Sonnet 5 | $0.00024 | $0.00672 |
| Haiku 4.5 | $0.00012 | $0.00336 |
Grade A, and why
plain-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 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 — 276 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Plain writing
The plain writing skill captures how the user wants writing to read: plain, boring, and easy to understand in one pass. Apply it by default when you write for them.
There are four groups of rules: word choice and tone, sentences and paragraphs, punctuation and formatting, and patterns to avoid. Each rule has a before and after. After the rules comes the deslopify command.
Word choice and tone
-
Use simple, everyday words. Don't pick a fancy synonym when a plain word works. Also avoid words AI tools overuse, e.g., "delve", "tapestry", "landscape", "robust", "leverage", and "reach". Before: We leverage the cache to unlock a more robust query experience. After: We use the cache to make repeated queries faster.
-
No jargon. Always use human-understandable language, the way two people talk to each other. Don't invent jargon or shorthand (that is, if a word or phrase is not in the Merriam Webster dictionary, don't use it). Use established technical terms only when they are most precise, and briefly define them when readers may not know them. Before: The score is a calibrated proxy for whether the property holds. After: The score estimates how likely the property is to hold.
-
No puffery or empty emphasis. Drop words that add emphasis but no information, e.g., "really", "real", "matters", "worth", "carries weight", "boasts", "a testament to", "pivotal", "renowned", and "quietly". State the actual point, or cut the sentence. Before: This result matters, and it carries weight for the design. After: The scores barely moved, so we can skip the model on most documents.
-
Use consistent terminology and constrain your vocabulary. Before: Upload the document. The file is parsed, and the record is saved. After: Upload the document. The document is parsed and saved.
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It's ok to use contractions. They match everyday speech, so use them freely. Before: Do not worry, it is not going to overwrite your file. After: Don't worry, it's not going to overwrite your file.
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 · 276 lines · 119 tokens per session scan A a8872867695a
plain-writing is a skill published in the GitHub repository docwriter-org/plain-writing-skill (377 stars, last pushed 16d ago), licensed MIT. It adds 119 tokens to every session and 3,360 once invoked, about $0.0006 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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