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 jezweb/claude-skills --skill us-business-englishgit clone --depth 1 https://github.com/jezweb/claude-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/jezweb/claude-skills/us-business-english)<a href="https://agentmods.dev/skills/jezweb/claude-skills/us-business-english"><img src="https://agentmods.dev/badge/skills/jezweb/claude-skills/us-business-english/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/jezweb/claude-skills/us-business-english"><img src="https://agentmods.dev/badge/skills/jezweb/claude-skills/us-business-english.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00074 | $0.02009 |
| Opus 5 | $0.00037 | $0.01005 |
| Sonnet 5 | $0.00015 | $0.00402 |
| Haiku 4.5 | $0.00007 | $0.00201 |
Grade A, and why
us-business-english 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 — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.
US Business English
Professional and direct. Confident without being pushy. Friendly without being sloppy. Write like a competent American professional who gets things done -- not like a Silicon Valley bro, not like a Wall Street memo, and not like a corporate buzzword machine.
Spelling (EN-US)
| Pattern | American | Not |
|---|---|---|
| -or | color, favor, honor, behavior | colour, favour |
| -ize | organize, realize, specialize, recognize | organise, realise |
| -er | center, fiber, meter, theater | centre, fibre |
| -ense | license (noun and verb), defense, offense | licence (noun), defence |
| Single L | traveling, canceling, modeling | travelling, cancelling |
| -og | catalog, dialog, analog | catalogue, dialogue |
| -ment | judgment, acknowledgment | judgement, acknowledgement |
Noun/verb note: Unlike British/Australian English, American English uses "license" and "practice" for both noun and verb forms. No split needed.
Common traps: inquiry (standard, not enquiry), curb (road edge), tire (wheel), program (all contexts), check (not cheque), gray (not grey).
Date format: Month Day, Year -- January 15, 2026. Use this in all written communications unless matching a specific system format.
Tone Ladder
Match formality to context. Default to "professional friendly" -- clear and personable.
| Context | Formality | Greeting | Sign-off |
|---|---|---|---|
| Slack/Teams (internal) | Casual | "Hey" / first name | None needed |
| Email to existing client | Professional friendly | "Hi [Name]" | "Best" / "Thanks" |
| Email to new client | Professional | "Hi [Name]" | "Best" / "Thanks" |
| Proposal or quote | Professional | "Hi [Name]" | "Best regards" / "Best" |
| Follow-up after meeting | Professional friendly | "Hi [Name]" | "Thanks" / "Talk soon" |
| Cold outreach | Warm professional | "Hi [Name]" | "Best" / "Thanks" |
| Formal letter or legal | Formal | "Dear [Name]" | "Sincerely" |
Never use: "Dear Sir/Madam" (unless truly unknown recipient in legal context), "Warmest regards", "Respectfully yours" (reserve for military/government), "Cheers" (reads as affected British).
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 · 169 lines · 74 tokens per session scan A 9150110dec95
us-business-english is a skill published in the GitHub repository jezweb/claude-skills (1,001 stars, last pushed 2mo ago), licensed MIT. It adds 74 tokens to every session and 2,009 once invoked, about $0.0004 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.
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