article-pack

A workflow for turning research, notes, or drafts into ready-to-publish content for channels such as Substack, LinkedIn, Medium, newsletters, slide decks, and podcasts.

In plain words
What is it for?
Use it to check whether material is substantial enough, research a topic when needed, write platform-specific content, and prepare social promotion materials.
Why use it?
It helps when source material needs to become a complete set of articles and promotional content rather than a single rough draft.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/pyros-projects/limitless/article-pack
Any agent
npx skills add pyros-projects/limitless --skill article-pack
Clone the repo
git clone --depth 1 https://github.com/pyros-projects/limitless

Made for: Claude Code, Codex.

Per session 119 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 8,198 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. Scan, not verified.
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 $0.00119 $0.08198
Opus 5 $0.00060 $0.04099
Sonnet 5 $0.00024 $0.01640
Haiku 4.5 $0.00012 $0.00820

Measured yesterday against content hash 39fe329d2098, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade B, and why

article-pack scanned grade B with 1 finding 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 yesterday.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/dice_roll.py, scripts/generate_images.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

cat ~/.claude/settings.json 2>/dev/null | grep -o '"OPENROUTER_API_KEY"' || echo "NOT_IN_SETTINGS"
plugins/limitless/skills/article-pack/SKILL.md · 1,035 lines

How it starts

The opening of the file, as written. The whole thing — 1,035 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Article Pack Generator

Generate complete, publish-ready content packages from research, notes, or draft material.

When to Use This Skill

Activate when the user:

  • Says "article-pack" or "content pack"
  • Wants to turn research/notes into publishable articles
  • Asks for "Substack article", "LinkedIn post", or similar
  • Requests multi-platform content creation
  • Needs social media promotion materials
  • Wants to research a topic and create content from findings
  • Has a topic idea but needs help gathering material first

Wizard Flow

This skill runs as an interactive wizard. Guide the user through each step using AskUserQuestion.


Step 0: Content Sufficiency Check

Before starting the wizard, analyze whether sufficient source material exists for a meaningful article pack.

Evaluate the available content for:

  • Depth: Is there enough substance for a full article (not just surface-level points)?
  • Examples/Evidence: Are there concrete examples, data, or case studies?
  • Perspectives: Are there multiple angles or viewpoints to explore?
  • Novelty: Is there something genuinely interesting or new to say?

If content is SUFFICIENT:

  • Briefly confirm what you're working with
  • Proceed to Step 1

If content is INSUFFICIENT:

  • Explain specifically what's missing (be concrete, not vague)
  • Recommend web research to fill the gaps
  • Offer to help research specific angles using web search
  • Ask if the user wants you to research now or provide more material themselves
Question: "Your topic is interesting, but I need more material to create a strong pack. Want me to research first?"
Options:
- Yes, research this topic for me (I'll search the web)
- Let me add more context/notes first
- Proceed anyway with what we have (lighter output)
- Let me specify what to research

Research loop: When researching, use web search to gather:

  • Recent news and developments
  • Key statistics and data points
  • Expert opinions and quotes
  • Counter-arguments and different perspectives
  • Real-world examples and case studies

Read the full file on GitHub · 1,035 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. yesterday First seen · 1,035 lines · 119 tokens per session scan B 39fe329d2098

Subscribe to this mod's changes

article-pack is a skill published in the GitHub repository pyros-projects/limitless (9 stars, last pushed 19d ago), licensed MIT. It adds 119 tokens to every session and 8,198 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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