Borrowing it
Nothing to install: this file belongs to Fmarzochi/EGC. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Fmarzochi/EGC/main/.agents/skills/article-writing/SKILL.mdgit clone --depth 1 https://github.com/Fmarzochi/EGCWrote 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/fmarzochi/egc/article-writing)<a href="https://agentmods.dev/skills/fmarzochi/egc/article-writing"><img src="https://agentmods.dev/badge/skills/fmarzochi/egc/article-writing.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00057 | $0.00605 |
| Opus 5 | $0.00028 | $0.00302 |
| Sonnet 5 | $0.00011 | $0.00121 |
| Haiku 4.5 | $0.00006 | $0.00060 |
Grade A, and why
article-writing 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 8d 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.
This is a copy
100% identical to article-writing — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Article Writing
Write long-form content that sounds like an actual person with a point of view, not an LLM smoothing itself into paste.
When to Activate
- drafting blog posts, essays, launch posts, guides, tutorials, or newsletter issues
- turning notes, transcripts, or research into polished articles
- matching an existing founder, operator, or brand voice from examples
- tightening structure, pacing, and evidence in already-written long-form copy
Core Rules
- Lead with the concrete thing: artifact, example, output, anecdote, number, screenshot, or code.
- Explain after the example, not before.
- Keep sentences tight unless the source voice is intentionally expansive.
- Use proof instead of adjectives.
- Never invent facts, credibility, or customer evidence.
Voice Handling
If the user wants a specific voice, run brand-voice first and reuse its VOICE PROFILE.
Do not duplicate a second style-analysis pass here unless the user explicitly asks for one.
If no voice references are given, default to a sharp operator voice: concrete, unsentimental, useful.
Banned Patterns
Delete and rewrite any of these:
- "In today's rapidly evolving landscape"
- "game-changer", "cutting-edge", "revolutionary"
- "here's why this matters" as a standalone bridge
- fake vulnerability arcs
- a closing question added only to juice engagement
- biography padding that does not move the argument
- generic AI throat-clearing that delays the point
Writing Process
- Clarify the audience and purpose.
- Build a hard outline with one job per section.
- Start sections with proof, artifact, conflict, or example.
- Expand only where the next sentence earns space.
- Cut anything that sounds templated, overexplained, or self-congratulatory.
Structure Guidance
Technical Guides
- open with what the reader gets
- use code, commands, screenshots, or concrete output in major sections
- end with actionable takeaways, not a soft recap
Essays / Opinion
- start with tension, contradiction, or a specific observation
- keep one argument thread per section
- make opinions answer to evidence
What ships with it
1 file 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.
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.
- 8d ago First seen · 79 lines · 57 tokens per session scan A fc1d006cfa9b
article-writing is a skill published in the GitHub repository Fmarzochi/EGC (49 stars, last pushed yesterday), licensed Apache-2.0. It adds 57 tokens to every session and 605 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to article-writing, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
shark
The Shark Pattern — universal non-blocking execution for any AI coding agent. Spawn remoras for slow tools, keep the main agent swimming. Works with Claude Code, Codex, Gemini CLI, Cursor, Aider, OpenClaw.
Side Quest
Multi-model collaborative problem-solving workflow with hardened backtest gates. Two rounds of brainstorm with a no-duplicate-thoughts rule between rounds, replay-not-stats backtests, walk-forward validation, sensitivity rejection, and per-quest verdict synthesis. Use when a hard problem stalls single-pass thinking…
auto-model-switcher
Copyright (c) 2026 Farhan Dhrubo — GPL-3.0 License.
demand-discovery
A Chinese-language workflow for finding narrowly focused customer needs through daily research. It uses data from Reddit, Google Trends, Product Hunt, G2, GitHub issues, Hacker News, and AlternativeTo.
browse-and-evaluate
Use when exploring the ai-agent-skills catalog to find, compare, and evaluate skills before installing. Always use --fields to limit output size and --dry-run before committing to an install.
render-3d-product-showcase
Assemble a premium 3D product-showcase ad from a config — four beat clips (an orbiting hero rotation, a macro push-in, a physics reveal, a typographic close) normalized to the brand-color canvas, hard-concatenated in order, closed on a deterministic Playwright brand end card, and mixed under one instrumental bed at…