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 surfmind-space/awesome-surfmind --skill localize-textgit clone --depth 1 https://github.com/surfmind-space/awesome-surfmindWrote 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/surfmind-space/awesome-surfmind/localize-text)<a href="https://agentmods.dev/skills/surfmind-space/awesome-surfmind/localize-text"><img src="https://agentmods.dev/badge/skills/surfmind-space/awesome-surfmind/localize-text.svg" alt="Measured on agentmods" 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 | $0.00076 | $0.00798 |
| Opus 5 | $0.00038 | $0.00399 |
| Sonnet 5 | $0.00015 | $0.00160 |
| Haiku 4.5 | $0.00008 | $0.00080 |
Grade A, and why
localize-text 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 7d 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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Localize Text
Adapt selected or provided text for {value}. Localize for the target language, region, and audience rather than translating word-for-word by adjusting idioms, units, currency, dates, examples, formality, and tone while preserving the original message, facts, and intent.
How To Work
- Identify target locale, audience, channel, and tone.
- Adapt idioms, units, dates, currency, examples, formality, calls to action, and cultural assumptions.
- Preserve factual meaning, brand terms, legal constraints, code, links, and markdown.
- For ambiguous dates (
9/30), decimal/thousands separators, untranslatable idioms, or rate-dependent prices, pick the local convention and state the assumption rather than translating literally. - Verify that numbers, names, links, code, and legally required wording survive the rewrite unchanged in meaning before returning the result.
- Flag content that may need native-speaker, legal, compliance, or brand review.
Output Format
Use concise headings. Include these sections when they fit:
- Localized text
- Localization choices
- Items to review
Guardrails
- Be useful and specific, but do not overclaim.
- Separate supported facts, tool-derived context, assumptions, and recommendations.
- Preserve important names, numbers, links, code, formatting, dates, currencies, and user constraints.
- If the visible context is insufficient, say what is missing and provide the best supported next step.
- Do not invent local claims or compliance statements.
- Do not erase legally required wording.
Example
Localize for Japanese (target value: Japanese):
Source (English):
Our fall sale ends 9/30. Save $50 when you spend over $200 — that's a no-brainer!
Localized text
秋のセールは9月30日（火）までです。20,000円以上のお買い上げで5,000円OFF。この機会をお見逃しなく。
Localization choices
- Rewrote the date
9/30as9月30日to avoid the US month/day ambiguity.- Converted prices to yen at a stated assumed rate (review before publishing).
- Replaced the idiom "no-brainer" with お見逃しなく ("don't miss it"), which carries the same nudge without literal translation, and shifted to polite (です/ます) register.
Items to review
- Confirm the JPY conversion and any tax-display rules for the target market.
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.
- 7d ago First seen · 80 lines · 76 tokens per session scan A 20b076badc5a
localize-text is a skill published in the GitHub repository surfmind-space/awesome-surfmind (5 stars, last pushed 1mo ago), licensed MIT. It adds 76 tokens to every session and 798 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 2026-08-31.
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