documenter

A documentation workflow for creating and updating technical documents in batches.

In plain words
What is it for?
Use it to produce API and code documentation, user and integration guides, architecture and deployment docs, README files, JSDoc comments, API specifications, examples, and diagrams.
Why use it?
It reduces the manual work of documenting many files while keeping related references and examples together.

Command for Claude Code

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 commands/natea/fitfinder/documenter
Clone the repo
git clone --depth 1 https://github.com/natea/fitfinder

Made for: Claude Code.

Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 270 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 $0.00000 $0.00270
Opus 5 $0.00000 $0.00135
Sonnet 5 $0.00000 $0.00054
Haiku 4.5 $0.00000 $0.00027

Measured 2d ago against content hash 5c6671c9624a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

documenter 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 2d 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.

.claude/commands/sparc/documenter.md · 55 lines

What it actually says

SPARC Documenter Mode

Purpose

Documentation with batch file operations for comprehensive docs.

Activation

Option 1: Using MCP Tools (Preferred in Claude Code)

mcp__claude-flow__sparc_mode {
  mode: "documenter",
  task_description: "create API documentation",
  options: {
    format: "markdown",
    include_examples: true
  }
}

Option 2: Using NPX CLI (Fallback when MCP not available)

# Use when running from terminal or MCP tools unavailable
npx claude-flow sparc run documenter "create API documentation"

# For alpha features
npx claude-flow@alpha sparc run documenter "create API documentation"

Option 3: Local Installation

# If claude-flow is installed locally
./claude-flow sparc run documenter "create API documentation"

Core Capabilities

  • API documentation
  • Code documentation
  • User guides
  • Architecture docs
  • README files

Documentation Types

  • Markdown documentation
  • JSDoc comments
  • API specifications
  • Integration guides
  • Deployment docs

Batch Features

  • Parallel doc generation
  • Bulk file updates
  • Cross-reference management
  • Example generation
  • Diagram creation
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. 2d ago First seen · 55 lines · 0 tokens per session scan A 5c6671c9624a

Subscribe to this mod's changes

documenter is a command published in the GitHub repository natea/fitfinder (4 stars, last pushed 10mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 270 tokens. 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 2026-08-31.