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 mojavestudio/Pela-Translate --skill pela-en-esgit clone --depth 1 https://github.com/mojavestudio/Pela-TranslateWrote 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/mojavestudio/pela-translate/pela-en-es)<a href="https://agentmods.dev/skills/mojavestudio/pela-translate/pela-en-es"><img src="https://agentmods.dev/badge/skills/mojavestudio/pela-translate/pela-en-es/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/mojavestudio/pela-translate/pela-en-es"><img src="https://agentmods.dev/badge/skills/mojavestudio/pela-translate/pela-en-es.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 | $0.00054 | $0.00480 |
| Opus 5 | $0.00027 | $0.00240 |
| Sonnet 5 | $0.00011 | $0.00096 |
| Haiku 4.5 | $0.00005 | $0.00048 |
Grade A, and why
pela-en-es 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 11d 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.
What it actually says
Translation tuning: English → Spanish
Invoked as /pela:en-es [tone]. The arg is optional.
tone: one ofneutral(default),friendly,formal,casual
Parse args for this value (case-insensitive). If the token doesn't match, ignore it rather than erroring — treat unmatched input as ordinary user context to consider alongside the translation.
Naturalness
- Prefer idiomatic phrasing over a word-for-word rendering, especially for fixed expressions and greetings.
- Match formality to the source: informal "tú" for casual/spoken source text, "usted" for formal/written register, unless the target locale conventionally prefers one over the other for that content type.
- Avoid anglicisms where an established Spanish equivalent exists. Genuine borrowings already naturalized in the target locale are fine to keep.
Tone
- neutral: Balanced, unmarked register — neither noticeably formal nor noticeably casual. Default to "tú" unless context suggests otherwise.
- friendly: Warm, approachable phrasing, "tú" register. Contractions and casual connectors are fine.
- formal: Polite, professional register, "usted" throughout. Avoid casual connectors and slang.
- casual: Relaxed, conversational "tú" register, the way you'd address someone you know well.
Apply whichever tone was parsed from args (default neutral) to the translation.
Self-check before returning a translation
Read your own output as if you were the target-language reader, not the translator. Does it sound like something a native speaker would actually say, or does it read as translated? If it reads as translated (overly literal, unnatural word order, an anglicism with a better native equivalent), revise once before returning it — a self-check pass is far cheaper than a second model call to redo the whole thing.
Output
Return the translation directly. If a tone was explicitly requested, don't narrate that you applied it — just apply it.
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.
- 11d ago First seen · 36 lines · 54 tokens per session scan A d3671479bd2e
pela-en-es is a skill published in the GitHub repository mojavestudio/Pela-Translate (0 stars, last pushed 1mo ago), licensed MIT. It adds 54 tokens to every session and 480 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 2026-08-31.
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