blog

blog is a skill for Claude Code from AgriciDaniel/claude-blog. It costs 202 tokens per session (8,463 once invoked), scanned A, original, MIT.

A complete toolkit for planning, writing, checking, and reusing blog content. It includes search-informed outlines, SEO checks, structured data, editorial calendars, and checks for visibility in AI-generated search answers.

In plain words
What is it for?
Use it to develop a blog strategy, create briefs and posts, rewrite articles, audit files or URLs, generate schema markup, plan publishing, and repurpose content.
Why use it?
It brings many blog tasks into one workflow instead of handling writing, audits, planning, and optimization separately. It also gives a consistent quality score and checklist.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: mentions subagents; mentions Claude Code.

Part of the claude-blog plugin — 32 skills shipped together

Good fit Use it to develop a blog strategy, create briefs and posts, rewrite articles, audit files or URLs, generate schema markup, plan publishing, and repurpose content.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/agricidaniel/claude-blog/blog
About the project

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.

AgriciDaniel/claude-blog · 2,101 stars · on GitHub · claude-blog.md

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 AgriciDaniel/claude-blog --skill blog
Clone the repo
git clone --depth 1 https://github.com/AgriciDaniel/claude-blog

Made for: Claude Code.

Or install claude-blog, the plugin that ships this one along with the rest of its 32 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 blog

README.md
[![agentmods](https://agentmods.dev/badge/skills/agricidaniel/claude-blog/blog/github.svg)](https://agentmods.dev/skills/agricidaniel/claude-blog/blog)
Your own site
<a href="https://agentmods.dev/skills/agricidaniel/claude-blog/blog"><img src="https://agentmods.dev/badge/skills/agricidaniel/claude-blog/blog/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 blog

Your own site · 80×15
<a href="https://agentmods.dev/skills/agricidaniel/claude-blog/blog"><img src="https://agentmods.dev/badge/skills/agricidaniel/claude-blog/blog.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 202 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 8,463 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
  • Socket warn 21 May 2026
  • Snyk fail 21 May 2026
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 3 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Prompt Injection · line 388
    This pattern attempts to override system instructions or ignore safety constraints. Without LLM analysis, manual review is recommended.
    Fix: Remove or rewrite any text that instructs the agent to ignore prompts, override safety rules, or trust unverified content. Ensure skill content cannot be injected to alter agent behavior.
  • medium Rogue Agent · line 367
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
  • medium Agent Snooping · line 449
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 $0.00202 $0.08463
Opus 5 $0.00101 $0.04231
Sonnet 5 $0.00040 $0.01693
Haiku 4.5 $0.00020 $0.00846

Measured 10d ago against content hash 9029d3566657, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

blog 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 10d 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.

brain/.raw/sources/claude-blog-skill/skills/blog/SKILL.md · 471 lines

How it starts

The opening of the file, as written. The whole thing — 471 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Blog: Content Engine for Rankings & AI Citations

Full-lifecycle blog management: strategy, briefs, outlines, writing, analysis, optimization, schema generation, repurposing, and editorial planning. Dual-optimized for Google's May 2026 Core Update, March 2026 core quality baseline, March and June 2026 spam enforcement, and AI citation platforms (ChatGPT, Perplexity, Google AI Overviews, Gemini). Google treats gen-AI optimization as SEO, not a separate discipline.

Quick Reference

Command What it does
/blog write <topic> Write a new blog post from scratch
/blog rewrite <file> Rewrite/optimize an existing blog post
/blog analyze <file-or-url> Audit blog quality with 0-100 score
/blog brief <topic> Generate a detailed content brief
/blog calendar [monthly|quarterly] Generate an editorial calendar
/blog strategy <niche> Blog strategy and topic ideation
/blog outline <topic> Generate SERP-informed content outline
/blog seo-check <file> Post-writing SEO validation checklist
/blog schema <file> Generate JSON-LD schema markup
/blog repurpose <file> Repurpose content for other platforms
/blog geo <file> AI citation readiness audit
/blog audit [directory] Full-site blog health assessment
/blog cannibalization [dir] Detect keyword cannibalization across posts
/blog factcheck <file> Verify statistics against cited sources
/blog image [generate|edit|setup] AI image generation and editing via Gemini
/blog persona [create|list|use|show] Manage writing personas and voice profiles
/blog brand [init|show|update] Generate BRAND.md + VOICE.md context files auto-loaded by all sub-skills
/blog discourse <topic> Research what people are actually saying about a topic in last 30 days; produces DISCOURSE.md (v1.8.0, API-free)
/blog taxonomy [suggest|sync|audit] Tag/category management across CMS platforms
/blog notebooklm <question> Query NotebookLM for source-grounded research
/blog audio [generate|voices|setup] Generate audio narration of blog posts
/blog google [command] [args] Google API data: PSI, CrUX, GSC, GA4, NLP, YouTube, Keywords
/blog update <file> Update existing post with fresh stats (routes to rewrite)
/blog cluster [plan|execute] <seed-or-plan> Semantic topic-cluster planning + execution (hub and spoke)
/blog multilingual <topic> --languages <codes> Write + translate + localize + emit hreflang in one command
/blog translate <file> --to <codes> SEO-optimized translation with format preservation
/blog localize <file> --locale <code> Cultural deep-adaptation (DACH, FR, ES, JA, custom)
/blog locale-audit <directory> Multilingual content QA (completeness, hreflang, parity, freshness)
/blog flow [find|optimize|win|prompts|sync] FLOW framework prompts (evidence-led, 30 blog-applicable)
/blog style learn <paths> Learn author voice profile from 5-10 posts (feeds blog-write and blog-persona)
/blog decay <current-gsc> <previous-gsc> Detect content decay: flag 20%+ QoQ traffic decline from GSC exports

Read the full file on GitHub · 471 lines

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. 10d ago First seen · 471 lines · 202 tokens per session scan A 9029d3566657

Subscribe to this mod's changes

blog is a skill published in the GitHub repository AgriciDaniel/claude-blog (2,101 stars, last pushed 6d ago), licensed MIT. It adds 202 tokens to every session and 8,463 once invoked, about $0.0010 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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