claude-blog is a Claude Code skill suite for planning, writing, optimizing, auditing, localizing, and refreshing blog content. It is for content and SEO workflows that produce articles and related publishing artifacts while checking drafts against defined delivery criteria. The catalogue entries provide the skills, agents, plugins, and instruction used by this workflow.
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 AgriciDaniel/claude-blog --skill blog-localizegit clone --depth 1 https://github.com/AgriciDaniel/claude-blogWrote 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/agricidaniel/claude-blog/blog-localize)<a href="https://agentmods.dev/skills/agricidaniel/claude-blog/blog-localize"><img src="https://agentmods.dev/badge/skills/agricidaniel/claude-blog/blog-localize/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/agricidaniel/claude-blog/blog-localize"><img src="https://agentmods.dev/badge/skills/agricidaniel/claude-blog/blog-localize.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- 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 | $0.00169 | $0.02241 |
| Opus 5 | $0.00084 | $0.01120 |
| Sonnet 5 | $0.00034 | $0.00448 |
| Haiku 4.5 | $0.00017 | $0.00224 |
Grade A, and why
blog-localize 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- blog-localize — 88% identical, 67 lines differ
How it starts
The opening of the file, as written. The whole thing — 224 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Blog Localize, Cultural Deep-Adaptation
Takes a translated blog post and performs cultural adaptation so the result
feels like it was written for the target market, not translated into it.
This is the layer above blog-translate: it replaces examples, adjusts
tone, swaps references, and localizes the entire reading experience.
Adapted from
claude-blog-multilingualby Chris Mueller (Pro Hub Challenge, March 2026). Original: https://github.com/Chriss54/multilingual-int
Key References
../blog-translate/references/cultural-adaptation.md, the shared cultural profiles file with substitution tables for DACH, Francophone, Hispanic, Japanese, and a custom template. Do not duplicate this file.
When to Use
- Right after
blog-translateproduces a base translation. - When existing translated content reads like "translated from English".
- When targeting a specific market, not just a language.
- When content needs local statistics, examples, and brand references.
Workflow
Phase 1: Locale Understanding
- Parse the locale code with the shared multilingual locale rules used by
blog-translate,blog-multilingual, andblog-locale-audit: ISO 639-1 language in lowercase, optional ISO 15924 script in title case, optional ISO 3166-1 Alpha-2 region in uppercase. Accept full codes (de-DE,fr-CA,es-MX,pt-BR,zh-Hant) and unambiguous plain language codes (de,fr). Require a region or explicit neutral mode for ambiguous language-only targets such ases,pt, andzh. - Load the cultural profile from
../blog-translate/references/cultural-adaptation.md.- If the locale has a profile, use it.
- If not, follow the "Custom-locale template" section in that reference to build a minimal profile inline.
- Read the translated post only after resolving it inside the project root/current working directory. Reject symlinked paths, traversal outside the root, files over 10 MB, and binary files. Then identify adaptation targets.
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 · 224 lines · 169 tokens per session scan A e609fe80bb82
blog-localize is a skill published in the GitHub repository AgriciDaniel/claude-blog (2,125 stars, last pushed yesterday), licensed MIT. It adds 169 tokens to every session and 2,241 once invoked, about $0.0008 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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