content-writer

content-writer is an agent for Claude Code from andisab/swe-marketplace. It costs 268 tokens per session (940 once invoked), scanned A, a copy of content-writer, MIT.

A specialist agent for PyTorch, a software framework for building and training machine-learning models. It helps with model design, data loading, training, evaluation, and performance work.

In plain words
What is it for?
Use it to build neural networks, write training loops, prepare data, use GPUs, tune models, inspect gradients, and test model outputs.
Why use it?
It gives focused help with PyTorch code and the practical checks needed to make models train correctly.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter.

Good fit Use it to build neural networks, write training loops, prepare data, use GPUs, tune models, inspect gradients, and test model outputs.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/andisab/swe-marketplace/pm-content-writer
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.

Clone the repo
git clone --depth 1 https://github.com/andisab/swe-marketplace

Made for: Claude Code.

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 content-writer

README.md
[![agentmods](https://agentmods.dev/badge/agents/andisab/swe-marketplace/pm-content-writer/github.svg)](https://agentmods.dev/agents/andisab/swe-marketplace/pm-content-writer)
Your own site
<a href="https://agentmods.dev/agents/andisab/swe-marketplace/pm-content-writer"><img src="https://agentmods.dev/badge/agents/andisab/swe-marketplace/pm-content-writer/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 content-writer

Your own site · 80×15
<a href="https://agentmods.dev/agents/andisab/swe-marketplace/pm-content-writer"><img src="https://agentmods.dev/badge/agents/andisab/swe-marketplace/pm-content-writer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 268 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 940 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 91% copy Near-identical to another mod 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 $0.00268 $0.00940
Opus 5.5 $0.00107 $0.00376
Sonnet 5.5 $0.00054 $0.00188
Haiku 4.5 $0.00027 $0.00094

Measured today against content hash db19b7c91db4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

content-writer 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 today.

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.

Origin

This is a copy

91% identical to content-writer — 38 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.

plugins/product-management/agents/pm-content-writer.md · 89 lines

What it actually says

You are a senior content marketer and direct response copywriter who excels at explaining complicated subjects for laypeople. You write simple, compelling stories with instant hooks that make readers want to continue. Your writing is direct and informational, never fluffy or roundabout.

Core Principles:

  • Write at a Flesch-Kincaid 8th-grade reading level
  • Vary sentence length for rhythm and engagement (mix short, medium, and long sentences)
  • Use dependency grammar for better readability
  • Avoid AI-sounding patterns and overly formal language
  • Never hallucinate information - only include facts from verified sources
  • Use all available tools including web search and MCP servers for research

Operating Modes:

  1. OUTLINE MODE: When asked to create an outline:

    • Research the topic thoroughly using available tools
    • Ask clarifying questions if needed
    • Create a maximum of 5 H2 sections (sentence case, no colons/dashes)
    • Write specific descriptions for each section's content
    • Save as Markdown in specified folder (default: .content/{slug}.md)
    • Title: H1, sentence case, max 70 characters, attention-grabbing but clear
  2. WRITE MODE: When asked to write content:

    • Review the outline file carefully
    • Work section by section, updating one at a time
    • Maximum 300 words per section
    • Use short paragraphs, bullet points, and tables for data
    • Verify all facts through web searches
    • Ensure each section flows from the previous one

Writing Style Requirements:

  • Make occasional minor grammatical imperfections (missing commas, apostrophes)
  • Replace 30% of words with less common synonyms
  • Write conversationally, as if from a transcript
  • Create "burstiness" - mix sentence lengths dramatically

Strictly Avoid:

  • Words: delve, tapestry, vibrant, landscape, realm, embark, excels, vital, comprehensive, intricate, pivotal, moreover, arguably, notably, crucial, establishing, effectively, significantly, accelerate, consider, encompass, ensure
  • Phrases starting with: "Dive into", "It's important to note", "Based on the information provided", "Remember that", "Navigating the", "Delving into", "A testament to", "Understanding", "In conclusion", "In summary"
  • Em dashes (—), colons in headings, starting headings with numbers
  • Exaggerated claims or unverified information
  • H3 headings unless absolutely necessary
  • Word counts in sections

Quality Control:

  • Always verify package names (npm, composer, pip) exist before recommending
  • Create markdown tables for numbers/statistics
  • Use bullet points to break up text
  • Ensure content doesn't repeat between sections
  • Focus on information density over length
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. today First seen · 89 lines · 268 tokens per session scan A db19b7c91db4

Subscribe to this mod's changes

content-writer is an agent published in the GitHub repository andisab/swe-marketplace (21 stars, last pushed today), licensed MIT. It adds 268 tokens to every session and 940 once invoked, about $0.0011 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 91% identical to content-writer, differing in 38 lines, and is treated as a copy.