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 kensaurus/cursor-kenji --skill audit-i18ngit clone --depth 1 https://github.com/kensaurus/cursor-kenjiWrote 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/kensaurus/cursor-kenji/audit-i18n)<a href="https://agentmods.dev/skills/kensaurus/cursor-kenji/audit-i18n"><img src="https://agentmods.dev/badge/skills/kensaurus/cursor-kenji/audit-i18n.svg" alt="Measured on agentmods" 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 | $0.00061 | $0.03028 |
| Opus 5 | $0.00030 | $0.01514 |
| Sonnet 5 | $0.00012 | $0.00606 |
| Haiku 4.5 | $0.00006 | $0.00303 |
Grade A, and why
audit-i18n 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 5d 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 — 330 lines — stays where its author put it; the contents beside it link to each section on GitHub.
audit-i18n — Natural, Human-Sounding Translations
Degree of freedom: MIXED — Quality judgment and rewrite [HIGH freedom];
Phase 2 key-diff and Phase 4 locale walk [LOW freedom — run exactly].
Audit-and-fix exception. Find bad copy, then fix it. Not present-then-stop.
Translations that read like machine output erode user trust — especially in the user's own language. Find every unnatural, jargon-heavy, or technically worded string and rewrite it to sound like a real person in that locale.
The goal: every string should sound like it was written by a native speaker who understands the user, not translated from English by a developer.
Core principles for good copy
These apply to every string in every locale:
| Bad | Better | Why |
|---|---|---|
| "Invalid email format" | "That email doesn't look right — check for typos" | Guides, doesn't blame |
| "An error occurred" | "Something went wrong. Try again, or contact us if it keeps happening" | Actionable |
| "Please enter a valid value" | "This field is required" or "Enter a number between 1 and 100" | Specific |
| "Authentication failed" | "Wrong email or password" | Plain language |
| "Submit" | "Save", "Send message", "Create account" | Says what actually happens |
| "OK" | "Got it", "Done", or the specific action | Less dismissive |
| "User" | "you", "your account" | Conversational |
| "The operation was successful" | "Done!" or "Saved" | Natural |
| "Do you want to proceed?" | "Are you sure? This can't be undone." | Honest and specific |
How to reason — Observe → Interpret → Classify → Severity
- Observe — quote the source string or locale key (
file:line) and the base-locale counterpart - Interpret — does a native speaker get a next step, or a literal/dev-voiced phrase?
- Classify — hardcoded / missing key / too-literal / wrong-tone / format-mismatch / untranslated-key
- Severity — checkout, auth, and error strings first;
[TODO]if you are not a native speaker
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.
- 5d ago First seen · 330 lines · 61 tokens per session scan A 02bbc450052e
audit-i18n is a skill published in the GitHub repository kensaurus/cursor-kenji (9 stars, last pushed 10d ago), licensed MIT. It adds 61 tokens to every session and 3,028 once invoked, about $0.0003 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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