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-personagit 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-persona)<a href="https://agentmods.dev/skills/agricidaniel/claude-blog/blog-persona"><img src="https://agentmods.dev/badge/skills/agricidaniel/claude-blog/blog-persona/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-persona"><img src="https://agentmods.dev/badge/skills/agricidaniel/claude-blog/blog-persona.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 | $0.00108 | $0.02197 |
| Opus 5 | $0.00054 | $0.01099 |
| Sonnet 5 | $0.00022 | $0.00439 |
| Haiku 4.5 | $0.00011 | $0.00220 |
Grade A, and why
blog-persona 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 13d 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-persona — 88% identical, 29 lines differ
How it starts
The opening of the file, as written. The whole thing — 227 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Blog Persona - Writing Voice Management
Create, store, and enforce writing personas based on the NNGroup 4-dimension tone framework and CMI Brand Voice Chart. Personas ensure consistent voice across all blog content produced by blog-write and blog-rewrite.
Commands
| Command | Purpose |
|---|---|
/blog persona create |
Interactive interview to build a new persona |
/blog persona list |
Show all saved personas |
/blog persona use <name> |
Set active persona for current session |
/blog persona show <name> |
Display full persona profile |
Create Workflow
Run the 6-step interactive interview. Ask each step, wait for response, then proceed.
Step 1: Brand Basics
Ask the user for:
- Brand name - company or personal brand
- Industry - primary sector (e.g., SaaS, health, finance, education)
- Target audience - who reads the blog (role, experience level, goals)
- One-sentence brand mission - what the brand helps people do
Step 2: Tone Dimensions (NNGroup Framework)
Present each dimension as a 0.0 to 1.0 slider. Explain both ends with examples.
| Dimension | 0.0 End | 1.0 End | Example at 0.0 | Example at 1.0 |
|---|---|---|---|---|
| funny_serious | Funny | Serious | "Let's be real, nobody reads Terms of Service" | "Understanding legal agreements protects your business" |
| formal_casual | Formal | Casual | "We are pleased to announce" | "Guess what - we shipped it!" |
| respectful_irreverent | Respectful | Irreverent | "We appreciate your patience" | "Yeah, that old way was broken" |
| enthusiastic_matter_of_fact | Enthusiastic | Matter-of-fact | "This changes everything!" | "Here are the results." |
Defaults if user is unsure: [0.6, 0.5, 0.3, 0.5] (slightly serious, balanced formality,
respectful, balanced enthusiasm).
Step 3: Writing Rules
Ask the user to pick a vocabulary tier first, then auto-suggest the matching readability band (user can override).
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.
- 13d ago First seen · 227 lines · 108 tokens per session scan A c86e77e7f2e3
blog-persona is a skill published in the GitHub repository AgriciDaniel/claude-blog (2,125 stars, last pushed yesterday), licensed MIT. It adds 108 tokens to every session and 2,197 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.
Other skills, from other repositories
banana
Direct, generate, edit, compare, and review visual assets with current Google Gemini image models. Use for image creation, image editing, reference-based consistency, product and character visuals, text-bearing graphics, grounded diagrams, video-derived images, and multi-model image portfolios.
shorts
Interactive longform-to-shortform video creator. Extracts viral-ready short clips from long videos using Claude as the orchestrator. Transcribes with faster-whisper (GPU), Claude scores and presents candidate segments interactively, user picks and adjusts, Remotion renders premium animated captions (Bold/Bounce/Clean…
repurpose
Content Repurposing Engine. Transforms any content (YouTube videos, blog posts, podcasts, local files, pasted text) into platform-optimized outputs for Twitter/X, Threads, LinkedIn, Instagram, TikTok, Pinterest, Snapchat, Facebook, YouTube Community, Skool, Discord, Reddit, Quora, Medium, WhatsApp Channels, Telegram…
repurpose-calendar
Generates a 7-day publishing calendar with staggered posts, optimal timing per platform, file references, engagement reminders, and theme-day grouping. Prevents audience fatigue by limiting to 2-3 posts per day. Sub-skill of the Content Repurposing Engine. Use when user says "publishing calendar", "content calendar"…
repurpose-medium
Generates Medium publication content from content atoms: long-form articles (1500-3000 words) with narrative arc, SEO-optimized titles and subtitles, tag and publication targeting, and canonical crosspost handling. Optimizes for Google indexing, read time, and publication submission. Sub-skill of the Content…
repurpose-quora
Generates Quora content from content atoms: a detailed answer to a relevant question, a Quora Space post for thought leadership, and question suggestions for authority building. Optimizes for expertise signals, SEO value, and upvote-worthy depth. Sub-skill of the Content Repurposing Engine. Use when user says "quora"…