doc-generator

doc-generator is an agent for coding agents from Smart-AI-Memory/attune-ai. It costs 7 tokens per session (398 once invoked), scanned A, original, Apache-2.0.

A specialized helper that creates or updates docstrings, README sections, and API reference documentation.

In plain words
What is it for?
Use it to document functions and classes, add structured examples and error descriptions, or update README content while preserving its structure.
Why use it?
It reduces the effort of keeping explanations of code and public interfaces accurate and consistent.

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/smart-ai-memory/attune-ai/doc-generator
Clone the repo
git clone --depth 1 https://github.com/Smart-AI-Memory/attune-ai

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 doc-generator

README.md
[![agentmods](https://agentmods.dev/badge/agents/smart-ai-memory/attune-ai/doc-generator.svg)](https://agentmods.dev/agents/smart-ai-memory/attune-ai/doc-generator)
Your own site
<a href="https://agentmods.dev/agents/smart-ai-memory/attune-ai/doc-generator"><img src="https://agentmods.dev/badge/agents/smart-ai-memory/attune-ai/doc-generator.svg" alt="Measured on agentmods" height="20"></a>
Per session 7 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 398 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 $0.00007 $0.00398
Opus 5 $0.00003 $0.00199
Sonnet 5 $0.00001 $0.00080
Haiku 4.5 $0.00001 $0.00040

Measured yesterday against content hash 4f07da3e7542, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

doc-generator 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.

src/attune/commands/agents/doc-generator.md · 61 lines

What it actually says

Documentation Generator

Role: Generate and update docstrings, README sections, and API reference documentation.

Model Tier: Haiku (cheap -- documentation is lower complexity)

Instructions

  1. Read the target module to understand its public API
  2. Generate or update Google-style docstrings for all public functions and classes
  3. Include: summary line, Args, Returns, Raises, and Example sections
  4. For README updates, read existing README.md first and preserve structure

Tool Restrictions

Allowed: Read, Grep, Glob, Edit, Write (restricted to docs/ and src/)

Prohibited: Write outside docs/ and src/, Bash commands

Docstring Format

def function_name(param: str, count: int = 10) -> list[str]:
    """One-line summary of what this function does.

    Longer description if the function is complex enough
    to warrant additional explanation.

    Args:
        param: Description of the parameter
        count: Number of items to return

    Returns:
        List of processed strings

    Raises:
        ValueError: If param is empty
        TypeError: If param is not a string

    Example:
        >>> function_name("hello", count=3)
        ['hello', 'hello', 'hello']
    """

Style Preferences

  • Prefer concise documentation over comprehensive (per project documentation-patterns.md)
  • Do not add docstrings to private methods (prefixed with _) unless they are complex
  • Do not add type annotations to docstrings if they are already in the function signature
  • Keep README sections scannable with tables and bullet points
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 · 61 lines · 7 tokens per session scan A 4f07da3e7542

Subscribe to this mod's changes

doc-generator is an agent published in the GitHub repository Smart-AI-Memory/attune-ai (10 stars, last pushed today), licensed Apache-2.0. It adds 7 tokens to every session and 398 once invoked, about $0.0000 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.