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.
npx agentmods add rules/jim-schilling/splurge-ai-rules/documentation-standardsgit clone --depth 1 https://github.com/jim-schilling/splurge-ai-rulesWrote 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/rules/jim-schilling/splurge-ai-rules/documentation-standards)<a href="https://agentmods.dev/rules/jim-schilling/splurge-ai-rules/documentation-standards"><img src="https://agentmods.dev/badge/rules/jim-schilling/splurge-ai-rules/documentation-standards.svg" alt="Measured on agentmods" 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 | $0.00005 | $0.00148 |
| Opus 5 | $0.00003 | $0.00074 |
| Sonnet 5 | $0.00001 | $0.00030 |
| Haiku 4.5 | $0.00001 | $0.00015 |
Grade A, and why
documentation-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 6d 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
- Add comments before complex logic blocks to explain the "why" and "what".
- Use inline comments sparingly, only for complex or non-obvious code sections.
- Remove outdated comments during refactoring instead of accumulating them.
- Use Google-style docstrings for all public functions, classes, and modules in Python:
def process_data(input_file: str) -> dict: """Process input file and return structured data. Args: input_file: Path to the input file to process Returns: Dictionary containing processed data Raises: FileNotFoundError: If input file doesn't exist """
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.
- 6d ago First seen · 23 lines · 5 tokens per session scan A bbd07eae5078
documentation-standards is a cursor rule published in the GitHub repository jim-schilling/splurge-ai-rules (3 stars, last pushed 11mo ago), licensed MIT. It adds 5 tokens to every session and 148 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 2026-08-31.
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