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 skills add Luohaothu/everything-codex --skill python-rulesgit clone --depth 1 https://github.com/Luohaothu/everything-codexWrote 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/skills/luohaothu/everything-codex/python-rules)<a href="https://agentmods.dev/skills/luohaothu/everything-codex/python-rules"><img src="https://agentmods.dev/badge/skills/luohaothu/everything-codex/python-rules/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/skills/luohaothu/everything-codex/python-rules"><img src="https://agentmods.dev/badge/skills/luohaothu/everything-codex/python-rules.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00018 | $0.01239 |
| Opus 5.5 | $0.00007 | $0.00496 |
| Sonnet 5.5 | $0.00004 | $0.00248 |
| Haiku 4.5 | $0.00002 | $0.00124 |
Grade A, and why
python-rules 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 — 235 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python Coding Rules
Coding Style
Immutability (CRITICAL)
ALWAYS create new objects, NEVER mutate existing ones:
// Pseudocode
WRONG: modify(original, field, value) -> changes original in-place
CORRECT: update(original, field, value) -> returns new copy with change
Rationale: Immutable data prevents hidden side effects, makes debugging easier, and enables safe concurrency.
File Organization
MANY SMALL FILES > FEW LARGE FILES:
- High cohesion, low coupling
- 200-400 lines typical, 800 max
- Extract utilities from large modules
- Organize by feature/domain, not by type
Standards
- Follow PEP 8 conventions
- Use type annotations on all function signatures
Immutable Data Structures
Prefer immutable data structures:
from dataclasses import dataclass
@dataclass(frozen=True)
class User:
name: str
email: str
from typing import NamedTuple
class Point(NamedTuple):
x: float
y: float
Formatting
- black for code formatting
- isort for import sorting
- ruff for linting
Error Handling
ALWAYS handle errors comprehensively:
- Handle errors explicitly at every level
- Provide user-friendly error messages in UI-facing code
- Log detailed error context on the server side
- Never silently swallow errors
Input Validation
ALWAYS validate at system boundaries:
- Validate all user input before processing
- Use schema-based validation where available
- Fail fast with clear error messages
- Never trust external data (API responses, user input, file content)
Code Quality Checklist
Before marking work complete:
- Code is readable and well-named
- Functions are small (<50 lines)
- Files are focused (<800 lines)
- No deep nesting (>4 levels)
- Proper error handling
- No hardcoded values (use constants or config)
- No mutation (immutable patterns used)
Patterns
Skeleton Projects
When implementing new functionality:
- Search for battle-tested skeleton projects
- Evaluate options for security, extensibility, relevance
- Clone best match as foundation
- Iterate within proven structure
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 · 235 lines · 18 tokens per session scan A a51b8b2fbde1
python-rules is a skill published in the GitHub repository Luohaothu/everything-codex (25 stars, last pushed 2mo ago), licensed MIT. It adds 18 tokens to every session and 1,239 once invoked, about $0.0001 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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