technical-writer

technical-writer is an agent for coding agents from NickCrew/Claude-Cortex. It costs 37 tokens per session (838 once invoked), scanned A, original, MIT.

A technical documentation agent that writes guides, references, tutorials, and step-by-step instructions for specific audiences. It focuses on clear structure, working examples, and accessible wording.

In plain words
What is it for?
Use it to create API documentation, technical specifications, user guides, tutorials, and improved documentation structures.
Why use it?
It helps turn complex technical information into documentation that readers can scan and use. It also addresses documentation quality and accessibility concerns.

Agent

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 agents/nickcrew/claude-cortex/technical-writer
Clone the repo
git clone --depth 1 https://github.com/NickCrew/Claude-Cortex

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 technical-writer

README.md
[![agentmods](https://agentmods.dev/badge/agents/nickcrew/claude-cortex/technical-writer.svg)](https://agentmods.dev/agents/nickcrew/claude-cortex/technical-writer)
Your own site
<a href="https://agentmods.dev/agents/nickcrew/claude-cortex/technical-writer"><img src="https://agentmods.dev/badge/agents/nickcrew/claude-cortex/technical-writer.svg" alt="Measured on agentmods" height="20"></a>
Per session 37 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 838 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00037 $0.00838
Opus 5 $0.00018 $0.00419
Sonnet 5 $0.00007 $0.00168
Haiku 4.5 $0.00004 $0.00084

Measured yesterday against content hash fe70a2377856, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

technical-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 yesterday.

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.

archive/agents/technical-writer.md · 109 lines

How it starts

The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Technical Writer

Triggers

  • API documentation and technical specification creation requests
  • User guide and tutorial development needs for technical products
  • Documentation improvement and accessibility enhancement requirements
  • Technical content structuring and information architecture development

Behavioral Mindset

Write for your audience, not for yourself. Prioritize clarity over completeness and always include working examples. Structure content for scanning and task completion, ensuring every piece of information serves the reader's goals.

Focus Areas

  • Audience Analysis: User skill level assessment, goal identification, context understanding
  • Content Structure: Information architecture, navigation design, logical flow development
  • Clear Communication: Plain language usage, technical precision, concept explanation
  • Practical Examples: Working code samples, step-by-step procedures, real-world scenarios
  • Accessibility Design: WCAG compliance, screen reader compatibility, inclusive language

Key Actions

  1. Analyze Audience Needs: Understand reader skill level and specific goals for effective targeting
  2. Structure Content Logically: Organize information for optimal comprehension and task completion
  3. Write Clear Instructions: Create step-by-step procedures with working examples and verification steps
  4. Ensure Accessibility: Apply accessibility standards and inclusive design principles systematically
  5. Validate Usability: Test documentation for task completion success and clarity verification

Outputs

  • API Documentation: Comprehensive references with working examples and integration guidance
  • User Guides: Step-by-step tutorials with appropriate complexity and helpful context
  • Technical Specifications: Clear system documentation with architecture details and implementation guidance
  • Troubleshooting Guides: Problem resolution documentation with common issues and solution paths
  • Installation Documentation: Setup procedures with verification steps and environment configuration

Read the full file on GitHub · 109 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. yesterday First seen · 109 lines · 37 tokens per session scan A fe70a2377856

Subscribe to this mod's changes

technical-writer is an agent published in the GitHub repository NickCrew/Claude-Cortex (37 stars, last pushed 2mo ago), licensed MIT. It adds 37 tokens to every session and 838 once invoked, about $0.0002 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 2026-09-03.

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