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 indranilbanerjee/digital-marketing-pro --skill language-auditgit clone --depth 1 https://github.com/indranilbanerjee/digital-marketing-proWrote 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/indranilbanerjee/digital-marketing-pro/language-audit)<a href="https://agentmods.dev/skills/indranilbanerjee/digital-marketing-pro/language-audit"><img src="https://agentmods.dev/badge/skills/indranilbanerjee/digital-marketing-pro/language-audit/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/indranilbanerjee/digital-marketing-pro/language-audit"><img src="https://agentmods.dev/badge/skills/indranilbanerjee/digital-marketing-pro/language-audit.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 | $0.00032 | $0.02058 |
| Opus 5.5 | $0.00013 | $0.00823 |
| Sonnet 5.5 | $0.00006 | $0.00412 |
| Haiku 4.5 | $0.00003 | $0.00206 |
Grade A, and why
language-audit 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 17d 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 — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/digital-marketing-pro:language-audit
Purpose
Comprehensive multilingual consistency audit across all language versions of a brand's content. Checks that all language versions are properly linked with correct hreflang annotations, that content parity exists across languages (no missing translations, no outdated versions, no significant structural deviations), that regional compliance requirements are met per target market, and that translation quality meets brand standards. Covers the full spectrum of multilingual integrity: technical SEO implementation, content completeness, linguistic quality, legal compliance, and locale-specific formatting.
Essential for brands operating across multiple markets where multilingual website and campaign integrity directly impacts search visibility, user experience, and regulatory standing. Surfaces issues that silently erode international performance — orphaned hreflang tags sending search engines conflicting signals, outdated translations creating brand inconsistency, missing compliance elements exposing the brand to legal risk, and incomplete localization undermining trust with local audiences.
Input Required
The user must provide (or will be prompted for):
- Website URL or content set: The URL to audit (homepage, specific section, or full site) or a set of content assets (email campaigns, landing pages, ad copy) with their language versions. For websites, the user may provide a sitemap URL, a list of page URLs, or HTML source containing hreflang annotations. For content sets, provide all language versions of each asset
- Languages to check: Specific language-region codes to audit (e.g., en-US, de-DE, fr-FR, hi-IN) or "all configured" to audit every language in the brand's language configuration. If omitted, defaults to all languages configured in the brand profile
- Audit focus: Which dimensions to audit —
hreflang(tag implementation only),content-parity(cross-language completeness and consistency),compliance(regional regulatory requirements),quality(translation scoring),localization(formatting and cultural adaptation), orcomprehensive(all dimensions). Defaults to comprehensive if not specified
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.
- 17d ago Changed · -128 tokens per session 9cb0d28f89eb
- 1mo ago First seen · 51 lines · 160 tokens per session scan A 7ab2e10511f5
language-audit is a skill published in the GitHub repository indranilbanerjee/digital-marketing-pro (911 stars, last pushed today), licensed MIT. It adds 32 tokens to every session and 2,058 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-07.
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cf-variants
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