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 h4vzz/awesome-ai-agent-skills --skill proofreadinggit clone --depth 1 https://github.com/h4vzz/awesome-ai-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/h4vzz/awesome-ai-agent-skills/proofreading)<a href="https://agentmods.dev/skills/h4vzz/awesome-ai-agent-skills/proofreading"><img src="https://agentmods.dev/badge/skills/h4vzz/awesome-ai-agent-skills/proofreading/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/h4vzz/awesome-ai-agent-skills/proofreading"><img src="https://agentmods.dev/badge/skills/h4vzz/awesome-ai-agent-skills/proofreading.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 | $0.00032 | $0.02024 |
| Opus 5 | $0.00016 | $0.01012 |
| Sonnet 5 | $0.00006 | $0.00405 |
| Haiku 4.5 | $0.00003 | $0.00202 |
Grade A, and why
proofreading 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.
This is a copy
97% identical to proofreading — 2 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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Proofreading
This skill enables an AI agent to systematically proofread text, catching errors in grammar, spelling, punctuation, style, and consistency. The agent applies a structured multi-pass review process, supports standard style guides (AP, Chicago, APA, or custom house styles), and provides readability scoring alongside tone analysis. Output includes both the corrected text and an annotated summary of every change made.
Workflow
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Grammar Check Scan the text for grammatical errors including subject-verb agreement, incorrect tense usage, dangling modifiers, sentence fragments, run-on sentences, and misplaced clauses. Fix each error and record the original phrasing alongside the correction. Pay special attention to complex sentences where multiple clauses may introduce ambiguity.
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Spelling and Word Choice Identify misspelled words, commonly confused homophones (e.g., "affect" vs. "effect," "their" vs. "there"), and incorrect word forms. Verify proper nouns and domain-specific terminology against the provided context or glossary. Flag any words that are spelled correctly but likely used in the wrong context.
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Punctuation and Mechanics Review comma usage, semicolons, colons, em dashes, en dashes, hyphens, quotation marks, and apostrophes. Apply the rules of the specified style guide — for example, the Oxford comma for Chicago style but not for AP style. Correct misuse of ellipses, parentheses, and bracket nesting.
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Style and Consistency Enforce consistent formatting throughout the document: heading capitalization (title case vs. sentence case), number formatting (numerals vs. spelled-out), abbreviation usage (define on first use), and list punctuation. Check for passive voice overuse and recommend active alternatives where the meaning would be clearer. Ensure consistent use of terminology — if "user interface" appears in one place and "UI" elsewhere, unify them.
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Clarity and Readability Evaluate sentence length, paragraph structure, and overall readability. Flag sentences longer than 30 words for possible splitting. Identify jargon or overly complex vocabulary that could be simplified without losing precision. Calculate a readability score (Flesch-Kincaid or equivalent) and report it. Suggest structural improvements such as adding transition sentences or breaking up dense paragraphs.
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 · 123 lines · 32 tokens per session scan A 2d5133130442
proofreading is a skill published in the GitHub repository h4vzz/awesome-ai-agent-skills (34 stars, last pushed yesterday), licensed MIT. It adds 32 tokens to every session and 2,024 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to proofreading, differing in 2 lines, and is treated as a copy.
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