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 skills/atstaeff/ai-agents/anti-patternsnpx skills add atstaeff/ai-agents --skill anti-patternsgit clone --depth 1 https://github.com/atstaeff/ai-agentsWrote 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/atstaeff/ai-agents/anti-patterns)<a href="https://agentmods.dev/skills/atstaeff/ai-agents/anti-patterns"><img src="https://agentmods.dev/badge/skills/atstaeff/ai-agents/anti-patterns.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 | $0.00020 | $0.01658 |
| Opus 5 | $0.00010 | $0.00829 |
| Sonnet 5 | $0.00004 | $0.00332 |
| Haiku 4.5 | $0.00002 | $0.00166 |
Grade A, and why
anti-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 5d 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 — 259 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Anti-Patterns Skill
Instructions for AI
Identify and avoid common anti-patterns in code, architecture, and event-driven systems. Use this skill when reviewing, refactoring, or designing systems to prevent common mistakes.
Code Anti-Patterns
1. God Object / God Class
Problem: One class that knows too much and does too much.
# ❌ Anti-pattern
class ApplicationManager:
def create_user(self): ...
def send_email(self): ...
def process_payment(self): ...
def generate_report(self): ...
def validate_input(self): ...
def connect_database(self): ...
# ✅ Fix: Single Responsibility
class UserService:
def create_user(self): ...
class EmailService:
def send_email(self): ...
class PaymentService:
def process_payment(self): ...
2. Primitive Obsession
Problem: Using primitives instead of domain types.
# ❌ Anti-pattern
def create_order(customer_id: str, amount: float, currency: str): ...
# ✅ Fix: Value Objects
class CustomerId(BaseModel):
value: UUID
class Money(BaseModel):
amount: Decimal
currency: Currency # StrEnum
def create_order(customer_id: CustomerId, total: Money): ...
3. Feature Envy
Problem: A method that uses data from another class more than its own.
# ❌ Anti-pattern
class InvoiceCalculator:
def calculate_total(self, order: Order) -> float:
total = sum(item.price * item.quantity for item in order.items)
total -= order.discount_amount
total *= (1 + order.tax_rate)
return total
# ✅ Fix: Move method to the class that owns the data
class Order:
def calculate_total(self) -> float:
subtotal = sum(item.total for item in self.items)
return (subtotal - self.discount_amount) * (1 + self.tax_rate)
4. Shotgun Surgery
Problem: A small change requires modifications in many classes.
Fix: Consolidate related behavior. Apply the "Open-Closed Principle" — extend via new code, not by modifying existing code.
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.
- 5d ago First seen · 259 lines · 20 tokens per session scan A dc3e1f9d9769
anti-patterns is a skill published in the GitHub repository atstaeff/ai-agents (2 stars, last pushed 6mo ago), licensed MIT. It adds 20 tokens to every session and 1,658 once invoked, about $0.0001 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…