document

A command for creating detailed, readable documentation about a file or directory. It examines the code, related tests, dependencies, and how other parts of the project use it.

In plain words
What is it for?
Use it to document files or directories, connect explanations to tests, and map how code fits into the wider project.
Why use it?
It helps when code is difficult to understand or its documentation does not show how it works in practice.

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/notactuallytreyanastasio/deciduous/document
Clone the repo
git clone --depth 1 https://github.com/notactuallytreyanastasio/deciduous

Made for: Claude Code.

Per session 15 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,720 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 $0.00015 $0.01720
Opus 5 $0.00008 $0.00860
Sonnet 5 $0.00003 $0.00344
Haiku 4.5 $0.00002 $0.00172

Measured 2d ago against content hash b21c4941732b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

document 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/document.md · 307 lines

How it starts

The opening of the file, as written. The whole thing — 307 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Document

Comprehensive documentation that shakes the tree to understand everything.

This skill generates in-depth documentation for a file or directory, focusing on:

  • Human readability while covering ALL surface area
  • Linking to tests as working examples
  • Refining tests to look more real-world if needed
  • Integration with the deciduous decision graph

Step 1: Create Documentation Goal Node

Before documenting, log what you're about to do:

deciduous add goal "Document $ARGUMENTS" -c 90 --prompt-stdin << 'EOF'
[User's verbatim documentation request]
EOF

Store the goal ID for linking later.


Step 2: Understand the Target

For a File

  1. Read the file completely

    • Understand every function, class, type, and export
    • Note all imports and dependencies
    • Identify the file's role in the larger system
  2. Find tests for this file

    • Look for test files with similar names
    • Search for imports/references in test directories
    • These will become working examples in the docs
  3. Trace callers/callees

    • Who calls this file?
    • What does this file call?
    • Map the dependency graph

For a Directory

  1. Map the structure

    • List all files and their purposes
    • Identify the public API (index/mod files)
    • Find the entry point
  2. Understand relationships

    • How do files in this directory interact?
    • What's the data flow?
  3. Find related tests

    • Test directories that cover this code
    • Integration tests that exercise the whole module

Step 3: Document Each Component

For each file/component, document:

3.1 Purpose

  • One sentence: what does this do?
  • Why does it exist? (The "why" is more important than the "what")

3.2 API Surface

For every public function/method/class:

### `function_name(param1: Type, param2: Type) -> ReturnType`

**Purpose:** What this does and why you'd call it.

**Parameters:**
- `param1` - Description and valid values
- `param2` - Description and valid values

**Returns:** What the return value means

**Throws/Errors:** What can go wrong

**Example:**
```code
// From: tests/example_test.rs:42
let result = function_name("input", 42);
assert_eq!(result, expected);

Related: Links to related functions

Read the full file on GitHub · 307 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. 2d ago First seen · 307 lines · 15 tokens per session scan A b21c4941732b

Subscribe to this mod's changes

document is a command published in the GitHub repository notactuallytreyanastasio/deciduous (160 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 15 tokens to every session and 1,720 once invoked, about $0.0001 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 2026-08-30.