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/divar-ir/ai-doc-genWrote 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/divar-ir/ai-doc-gen/code-patterns)<a href="https://agentmods.dev/rules/divar-ir/ai-doc-gen/code-patterns"><img src="https://agentmods.dev/badge/rules/divar-ir/ai-doc-gen/code-patterns/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/rules/divar-ir/ai-doc-gen/code-patterns"><img src="https://agentmods.dev/badge/rules/divar-ir/ai-doc-gen/code-patterns.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 | $0.00000 | $0.00636 |
| Opus 5.5 | $0.00000 | $0.00254 |
| Sonnet 5.5 | $0.00000 | $0.00127 |
| Haiku 4.5 | $0.00000 | $0.00064 |
Grade A, and why
code-patterns 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.
How it starts
The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code Patterns
Style
- Ruff: 120-char lines, 4-space indent,
target-version = "py313"; import sorting enabled — runuv run ruff format src/ && uv run ruff check src/. - Type hints everywhere;
pathlib.Pathfor all file paths (never strings); PydanticBaseModelfor all config/data structures. - Naming: snake_case files/functions, PascalCase classes,
_privatemethods, UPPER_SNAKE constants, config classes end inConfig.
Configuration
class MyHandlerConfig(BaseHandlerConfig, MyAgentConfig):
exclude_feature: bool = Field(default=False, description="Exclude feature") # description feeds CLI --help
- Every
Fieldneeds adescription— CLI arguments are generated from it (--exclude-feature, store_true, defaultNone= "not specified"). - Load order: Pydantic defaults <
.ai/config.yaml(dot-notation section keys) < CLI args, merged withmerge_dicts(). - Env vars in
src/config.py: required →os.environ["KEY"]; optional →os.getenv("KEY", "default")withint()/float()/str_to_bool()conversion.
Async and concurrency
- All handler/agent operations are async; handlers implement
async def handle(self). - Bounded concurrency: use
WorkerPoolfromsrc/utils/worker_pool.py(WorkerPool(max_workers=0)= CPU count) for many tasks;asyncio.gather(*tasks, return_exceptions=True)for a fixed small set. - Always isolate errors: check each result with
isinstance(result, Exception), log withexc_info=True, continue.
Error handling
- Partial success is acceptable: warn and continue if some agents fail; raise
ValueErroronly on complete failure. - Guarantee cleanup with try/finally (e.g., cronjob project cleanup).
- Inside agent tools, raise
ModelRetry(from pydantic_ai) for recoverable errors — file not found, permission denied.
Logging and tracing
from utils import Logger
Logger.init(logs_dir) # once per execution, before any use
Logger.info("Agent completed", {"total_tokens": usage.total_tokens}) # structured dict payload
Logger.error("Failed", exc_info=True) # always exc_info=True for errors
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 · 55 lines · 0 tokens per session scan A dbf6d957d057
code-patterns is a cursor rule published in the GitHub repository divar-ir/ai-doc-gen (767 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 636 tokens. 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.
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