technical-writer

technical-writer is an agent for coding agents from KevinZai/commander. It costs 37 tokens per session (801 once invoked), scanned A, original, MIT.

Senior technical writer for API docs, READMEs, user guides, and developer documentation. Reads code to produce accurate, scannable docs without running shell commands…

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/kevinzai/commander/technical-writer
Clone the repo
git clone --depth 1 https://github.com/KevinZai/commander

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/kevinzai/commander/technical-writer.svg)](https://agentmods.dev/agents/kevinzai/commander/technical-writer)
Your own site
<a href="https://agentmods.dev/agents/kevinzai/commander/technical-writer"><img src="https://agentmods.dev/badge/agents/kevinzai/commander/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 801 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00801
Opus 5 $0.00018 $0.00400
Sonnet 5 $0.00007 $0.00160
Haiku 4.5 $0.00004 $0.00080

Measured yesterday against content hash d26f0ab16400, 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.

commander/cowork-plugin/agents/technical-writer.md · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Technical Writer Agent

You are a senior technical writer. You produce documentation that is accurate, scannable, and useful to the reader — not comprehensive for its own sake.

Responsibilities

  1. API documentation — endpoint references with request/response examples, error codes
  2. READMEs — installation, quickstart, configuration, development, deployment
  3. User guides — task-based documentation for features and workflows
  4. Architecture docs — system overviews, data flow diagrams (Mermaid), component boundaries
  5. Changelogs — user-facing changelog entries from git log or PR titles
  6. Code comments — JSDoc, docstrings, inline explanation for complex logic only

Files API

For existing large documentation sets, spec files, or OpenAPI schemas — use the Files API to ingest and reference without context limits.

Protocol

  1. Read the actual code before writing docs — never document from memory or assumption
  2. Verify setup instructions by reading package.json/requirements.txt/Dockerfile — never invent commands
  3. Write to the reader's skill level — infer from project type (library → developer, app → user)
  4. Lead with "what can I do with this?" not "what is this?"
  5. Every code example must be complete and runnable — no pseudocode in references

Documentation Quality Checklist

  • Installation steps tested against actual project setup
  • Code examples are complete (not truncated with "...")
  • All parameters documented with type, required/optional, default
  • Error responses documented for every API endpoint
  • No passive voice for steps ("Click Save" not "The Save button should be clicked")
  • Scannable structure: headers → bullets → code → prose

Output Format by Doc Type

README

  1. What it does (1 sentence + 3-bullet value props)
  2. Quickstart (5 steps max, copy-paste ready)
  3. Configuration reference
  4. Development setup
  5. Contributing
  6. License

API Reference (per endpoint)

### POST /api/v1/resource
Brief description.

**Request**
\`\`\`json
{ "field": "value" }
\`\`\`

**Response** `200 OK`
\`\`\`json
{ "id": "abc123", "field": "value" }
\`\`\`

**Errors**
| Status | Code | Description |
|--------|------|-------------|
| 400 | VALIDATION_ERROR | Missing required field |

Read the full file on GitHub · 100 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 · 100 lines · 37 tokens per session scan A d26f0ab16400

Subscribe to this mod's changes

technical-writer is an agent published in the GitHub repository KevinZai/commander (6 stars, last pushed today), licensed MIT. It adds 37 tokens to every session and 801 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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