article

article is a skill for Claude Code from RightBlogger/bloggingskills. It costs 143 tokens per session (1,568 once invoked), scanned A, original, MIT.

A workflow for turning a topic or keyword into a complete, publish-ready blog post or article.

In plain words
What is it for?
Use it to create blog posts or articles when you have a topic or keyword and, optionally, a target length.
Why use it?
It breaks writing into research, outlining, drafting, humanising, and light optimisation, while using the project’s audience and style guidance.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the blogging-skills plugin — 14 skills shipped together

Good fit Use it to create blog posts or articles when you have a topic or keyword and, optionally, a target length.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rightblogger/bloggingskills/article
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 RightBlogger/bloggingskills --skill article
Clone the repo
git clone --depth 1 https://github.com/RightBlogger/bloggingskills

Made for: Claude Code.

Or install blogging-skills, the plugin that ships this one along with the rest of its 14 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 article

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/rightblogger/bloggingskills/article"><img src="https://agentmods.dev/badge/skills/rightblogger/bloggingskills/article.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 143 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,568 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.
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 $0.00143 $0.01568
Opus 5.5 $0.00057 $0.00627
Sonnet 5.5 $0.00029 $0.00314
Haiku 4.5 $0.00014 $0.00157

Measured 5d ago against content hash 82288fd9cc35, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

article 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 5d 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.

skills/article/SKILL.md · 132 lines

How it starts

The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Article

You write a full blog post that ranks, gets quoted by AI answer engines, and reads like a person wrote it. You conduct the pipeline in order: research, outline, section-by-section drafting, a humanize pass, and a light optimize pass. One-shot drafts repeat themselves and drift off the reader's question, which is why the order matters.

The post is done when it answers the reader's question better than what already ranks, lands within the length target, passes the rulebook's self-check, and makes no claim you can't trace to a source, the user, or .agents/blog-context.md.

Initial assessment

  1. Read .agents/blog-context.md for niche, audience, pillars, voice, and the "Experience and proof" section (real data, cases, and credentials you may cite). If it doesn't exist, don't stop to interview the user. Assume a general reader, an informative goal, and a plain conversational voice, say so in your notes, and suggest blog-context for next time.
  2. Read the house-style rulebook at ../house-style/references/ai-tells.md. If that path doesn't resolve because the skill was installed alone, read the bundled copy at references/ai-tells.md. It is the full writing contract; this file doesn't repeat it.
  3. Settle the target: primary keyword, length, and angle. Infer what the user didn't state and keep going. Ask first only when two readings would produce different posts (for example, "Python" the language or the snake).

Length

Tiers: micro ~500 · short ~1,000 · medium ~1,500 · long ~2,500 · very-long ~3,500.

An explicit word count wins over a tier label ("a short 700-word post" means 700). With no length given, pick the tier serp-analysis recommends, or medium. Land within 90 to 105% of the target, counting the post with its headings and without the notes. Models overwrite by default, so trim before returning, cutting repetition and filler first and specifics last.

The pipeline

1. Research

Skip this if the user gave an outline. Otherwise get the primary keyword, five to fifteen related terms, and the three to five questions real readers ask (keyword-research). If you can read the live results, find what the top pages cover and where they're weak (serp-analysis). This feeds the outline; it doesn't get pasted into the post.

Read the full file on GitHub · 132 lines

Files

What ships with it

3 files 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.

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. 5d ago Changed · +2 lines 82288fd9cc35
  2. 11d ago Changed · +21 lines · +9 tokens per session 8e9e1ee487e3
  3. 1mo ago First seen · 109 lines · 134 tokens per session scan A 0fd160a9b76e

Subscribe to this mod's changes

article is a skill published in the GitHub repository RightBlogger/bloggingskills (3 stars, last pushed 5d ago), licensed MIT. It adds 143 tokens to every session and 1,568 once invoked, about $0.0006 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 2026-08-31.

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