translation-accuracy-reviewer

translation-accuracy-reviewer is a skill for Claude Code from ur-grue/autopunk-media-skills. It costs 36 tokens per session (1,748 once invoked), scanned A, original, MIT.

A translation checker that compares an original text with its translated version and points out possible errors or changed meanings. It explains each issue so an editor can decide how to correct it.

In plain words
What is it for?
Use it to review machine translations, freelance work, interviews, press releases, official statements, or legally important translated material.
Why use it?
It helps catch mistranslations before publication, especially when the editor cannot read the source language. This reduces the risk of publishing an inaccurate article, statement, quote, or subtitle.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the autopunk-media-skills plugin — 187 skills shipped together

Good fit Use it to review machine translations, freelance work, interviews, press releases, official statements, or legally important translated material.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ur-grue/autopunk-media-skills/translation-accuracy-reviewer
Install

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.

Any agent
npx skills add ur-grue/autopunk-media-skills --skill translation-accuracy-reviewer
Clone the repo
git clone --depth 1 https://github.com/ur-grue/autopunk-media-skills

Made for: Claude Code.

Or install autopunk-media-skills, the plugin that ships this one along with the rest of its 187 skills.

Wrote 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.

agentmods badge for translation-accuracy-reviewer

README.md
[![agentmods](https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/translation-accuracy-reviewer/github.svg)](https://agentmods.dev/skills/ur-grue/autopunk-media-skills/translation-accuracy-reviewer)
Your own site
<a href="https://agentmods.dev/skills/ur-grue/autopunk-media-skills/translation-accuracy-reviewer"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/translation-accuracy-reviewer/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.

agentmods 80×15 button for translation-accuracy-reviewer

Your own site · 80×15
<a href="https://agentmods.dev/skills/ur-grue/autopunk-media-skills/translation-accuracy-reviewer"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/translation-accuracy-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,748 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00036 $0.01748
Opus 5 $0.00018 $0.00874
Sonnet 5 $0.00007 $0.00350
Haiku 4.5 $0.00004 $0.00175

Measured 8d ago against content hash dcf65c86345d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

translation-accuracy-reviewer 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 8d 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.

skills/editing/translation-accuracy-reviewer/SKILL.md · 121 lines

How it starts

The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Translation Accuracy Reviewer

What This Skill Does

Compares a source text against its translation, flags potential inaccuracies and mistranslations, and explains each issue so an editor can make an informed correction.

When To Use This Skill

  • Before publishing a translated article, press release, interview transcript, or official statement
  • When a machine translation (DeepL, Google Translate) has been used as a first draft and needs human-quality review
  • When a freelance translation arrives and the editor is not fluent in the source language
  • When a quoted source's words have been translated and accuracy is legally or editorially critical (court testimony, official denials, diplomatic statements)

What You Need To Provide

Required: The original source text (any language) and the translated version side by side, with the source and target languages clearly labelled. Optional: The publication context (news article, documentary subtitle, legal document, press release); the intended audience for the translation; any known sensitivities (e.g., "the source's phrasing on this point is politically significant"); a note on whether the translation should be literal or idiomatic.

How the Assistant Approaches This

  1. Reads the source text in full to understand its meaning, tone, register, and any culturally specific references or idioms before looking at the translation.
  2. Works through the translation sentence by sentence against the source, flagging: omissions (content present in the source that is missing from the translation), additions (content in the translation with no basis in the source), mistranslations (words or phrases rendered inaccurately), register mismatches (source is formal, translation is casual, or vice versa), and cultural or idiomatic equivalence issues where a literal rendering distorts the intended meaning.
  3. Produces a structured report: each flag is numbered, the source passage and translated passage are quoted together, the problem is named clearly in plain language, and a more accurate alternative is provided. Closes with an overall accuracy assessment.

Read the full file on GitHub · 121 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 8d ago First seen · 121 lines · 36 tokens per session scan A dcf65c86345d

Subscribe to this mod's changes

translation-accuracy-reviewer is a skill published in the GitHub repository ur-grue/autopunk-media-skills (32 stars, last pushed 12d ago), licensed MIT. It adds 36 tokens to every session and 1,748 once invoked, about $0.0002 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 2026-09-04.

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