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.
git clone --depth 1 https://github.com/Smart-AI-Memory/attune-aiWrote 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.
[](https://agentmods.dev/agents/smart-ai-memory/attune-ai/doc-generator)<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/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<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="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00007 | $0.00398 |
| Opus 5.5 | $0.00003 | $0.00159 |
| Sonnet 5.5 | $0.00001 | $0.00080 |
| Haiku 4.5 | $0.00001 | $0.00040 |
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 1mo 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.
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
- Read the target module to understand its public API
- Generate or update Google-style docstrings for all public functions and classes
- Include: summary line, Args, Returns, Raises, and Example sections
- 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
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.
- 1mo ago First seen · 61 lines · 7 tokens per session scan A 4f07da3e7542
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 5.5. 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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