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 calesthio/generative-media-skills --skill localization-dubbing-productiongit clone --depth 1 https://github.com/calesthio/generative-media-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/calesthio/generative-media-skills/localization-dubbing-production)<a href="https://agentmods.dev/skills/calesthio/generative-media-skills/localization-dubbing-production"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/localization-dubbing-production/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/calesthio/generative-media-skills/localization-dubbing-production"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/localization-dubbing-production.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00098 | $0.05883 |
| Opus 5 | $0.00049 | $0.02942 |
| Sonnet 5 | $0.00020 | $0.01177 |
| Haiku 4.5 | $0.00010 | $0.00588 |
Grade A, and why
localization-dubbing-production 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 12d 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 — 394 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Localization and dubbing production
Use this skill to turn a source video into market-ready localized variants without treating translation as a word swap. Direct the localization strategy, script adaptation, voice approach, timing, accessibility, rights checks, review loop, and quality control before choosing any provider or model.
This is production guidance, not legal advice. When the work involves talent contracts, union-covered performers, biometric/voice data, likeness rights, political content, regulated claims, minors, health/finance/legal claims, or paid media in multiple jurisdictions, require qualified legal/local market review before release.
Evidence posture
Documented facts in this skill are grounded in the sources listed at the end and were verified on 2026-07-10 unless otherwise stated. Empirical observations are recurring production patterns seen in localization/dubbing work and should be checked against the actual source media. Production heuristics are decision rules for agents; override them when a client brief, platform specification, law, accessibility requirement, or native reviewer says otherwise.
Start by classifying the job
Identify the content type before making localization choices:
- Entertainment, documentary, testimonial, news, or creator content: preserve voice, identity, cultural specificity, and trust. Subtitles may be more honest than dubbing for testimony or journalism.
- Advertisement, product launch, app demo, social clip, avatar video, or explainer: optimize comprehension, retention, brand tone, and platform behavior. Dubbing or native re-voicing is often worth the cost.
- Training, compliance, medical, finance, legal, or public-sector media: prioritize accuracy, terminology control, accessibility, traceable review, and auditable approvals over fluency shortcuts.
- Children/family, literacy-limited, or sound-off mobile audiences: do not assume subtitles alone are sufficient; consider dubbing, captions, visual reinforcement, and simpler reading load.
- High-emotion drama, close-up presenter, avatar, or face-heavy ad: decide early whether lip-sync is required, because it changes the script, casting, edit, and QC burden.
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.
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.
- 12d ago First seen · 394 lines · 98 tokens per session scan A 13046c09964c
localization-dubbing-production is a skill published in the GitHub repository calesthio/generative-media-skills (170 stars, last pushed 2mo ago), licensed MIT. It adds 98 tokens to every session and 5,883 once invoked, about $0.0005 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 2026-08-30.
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