Borrowing it
Nothing to install: this file belongs to kequach/uniqlo-sales-alerter. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/kequach/uniqlo-sales-alerter/main/.github/instructions/python-standards.instructions.mdgit clone --depth 1 https://github.com/kequach/uniqlo-sales-alerterWrote 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/instructions/kequach/uniqlo-sales-alerter/python-standards)<a href="https://agentmods.dev/instructions/kequach/uniqlo-sales-alerter/python-standards"><img src="https://agentmods.dev/badge/instructions/kequach/uniqlo-sales-alerter/python-standards/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/instructions/kequach/uniqlo-sales-alerter/python-standards"><img src="https://agentmods.dev/badge/instructions/kequach/uniqlo-sales-alerter/python-standards.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 | $0.00330 | $0.00330 |
| Opus 5.5 | $0.00132 | $0.00132 |
| Sonnet 5.5 | $0.00066 | $0.00066 |
| Haiku 4.5 | $0.00033 | $0.00033 |
Grade A, and why
uniqlo-sales-alerter python-standards.instructions.md 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
Python Standards
Naming
- Avoid single-letter variables outside list comprehensions and lambdas.
- Use descriptive names:
safe_titlenott,color_display_codenotcd. - Abbreviations
pid(product ID),pg(price group),wv(watched variant) are acceptable as they are domain-standard in this codebase.
Constants
- Extract magic strings and numbers into module-level constants (e.g.
_STOCK_OUT,_DEFAULT_PRICE_GROUP,_SMTP_TIMEOUT). - Use
frozensetfor immutable sets of valid values.
Documentation
- All public classes and functions must have docstrings.
- Private helpers (
_name) should have docstrings if their purpose isn't obvious from the name. - Do NOT add comments that narrate what the code does. Comments should explain why.
Logging
- Use
loggerfor diagnostic output, notprint(). - Exception:
print()is acceptable for intentional user-facing console output (rate-limit warnings, CLI preview).
Error handling
- Prefer specific exception types over bare
except Exception. - When a missing optional dependency is detected, be consistent: log and return (like Telegram) or raise with a clear message (like email). Don't mix approaches for the same severity.
Pydantic models
- All model classes need a class docstring.
- Use
Field(default_factory=...)for mutable defaults, never= []or= {}.
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 · 39 lines · 330 tokens per session scan A dd23c758a88c
uniqlo-sales-alerter python-standards.instructions.md is an instructions file published in the GitHub repository kequach/uniqlo-sales-alerter (32 stars, last pushed 2mo ago), licensed MIT. It adds 330 tokens to every session, about $0.0013 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 2026-09-01.
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