docstring_standards

A writing rule for short, direct Python docstrings. A docstring is the documentation written inside code for a function, class, or module.

In plain words
What is it for?
Use it when writing or reviewing docstrings, including brief descriptions and essential argument or return details.
Why use it?
It keeps code documentation useful and readable without lengthy explanations or project history.

Cursor rule for Cursor

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 rules/wiggitywhitney/mcp-commit-story/docstring_standards
Clone the repo
git clone --depth 1 https://github.com/wiggitywhitney/mcp-commit-story

Made for: Cursor.

Per session 551 This file is loaded in full into every session.
When invoked 551 The same file — it is already loaded in full.
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 $0.00551 $0.00551
Opus 5 $0.00275 $0.00275
Sonnet 5 $0.00110 $0.00110
Haiku 4.5 $0.00055 $0.00055

Measured 2d ago against content hash e686e7d90508, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

docstring_standards 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.

.cursor/rules/docstring_standards.mdc · 76 lines

How it starts

The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Docstring Standards

Core Principle

Write docstrings that are succinct and direct - avoid verbose explanations.

Docstring Requirements

  • Succinct communication - Essential information only, no verbose explanations
  • Direct language - Get to the point quickly
  • Follow @documentation forbidden content rules:
    • No task references or historical processes
    • No abstract corporate speak
    • No development journey narratives
  • External reader accessible - Assume zero project knowledge but keep it brief
  • Practical focus - What they need to know, not extensive examples

Structure Guidelines

  • Brief description - One clear sentence about what the function does
  • Essential args/returns - Key parameters and return values only
  • Minimal examples - Only when necessary for clarity
  • No extensive prerequisites - Basic requirements only

Examples

✅ Good Docstring

def generate_daily_summary(date: str) -> Optional[DailySummary]:
    """Generate a daily summary from journal entries.
    
    Args:
        date: Date string in YYYY-MM-DD format.
        
    Returns:
        DailySummary object or None if no entries found.
    """

❌ Avoid Verbose Docstrings

def generate_daily_summary(date: str) -> Optional[DailySummary]:
    """Generate a daily summary from journal entries.
    
    This function orchestrates the complete workflow for generating daily summaries
    from journal entries. It handles the entire process from loading configuration
    to processing entries through AI and saving the final formatted results.
    
    ## Prerequisites
    - Journal files must exist in the expected directory structure
    - Configuration file must be properly set up with journal paths
    - AI provider must be configured with valid API keys
    
    ## Usage Examples
    ```python
    # Generate for today
    summary = generate_daily_summary("2025-01-15")
    
    # Handle the result
    if summary:
        print(f"Generated: {summary['summary']}")
    else:
        print("No entries found")
    ```
    
    ## Technical Context
    This function was created to replace the MCP-based approach...
    """

Read the full file on GitHub · 76 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 · 76 lines · 551 tokens per session scan A e686e7d90508

Subscribe to this mod's changes

docstring_standards is a cursor rule published in the GitHub repository wiggitywhitney/mcp-commit-story (15 stars, last pushed 1y ago), licensed MIT. It adds 551 tokens to every session, about $0.0028 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.