ai-coding-discipline

ai-coding-discipline is a skill for Claude Code, Codex from luoling8192/ai-coding-principles. It costs 100 tokens per session (1,761 once invoked), scanned A, original, MIT.

A set of rules for writing, editing, reviewing, fixing, and testing code with an AI assistant.

In plain words
What is it for?
Use it during software changes to decide when to fail clearly, how to handle errors, and how to avoid masking bugs.
Why use it?
It aims to prevent common coding mistakes such as hiding missing data with fallback values or catching errors too broadly.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/luoling8192/ai-coding-principles/ai-coding-discipline
Any agent
npx skills add luoling8192/ai-coding-principles --skill ai-coding-discipline
Clone the repo
git clone --depth 1 https://github.com/luoling8192/ai-coding-principles

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for ai-coding-discipline

README.md
[![agentmods](https://agentmods.dev/badge/skills/luoling8192/ai-coding-principles/ai-coding-discipline.svg)](https://agentmods.dev/skills/luoling8192/ai-coding-principles/ai-coding-discipline)
Your own site
<a href="https://agentmods.dev/skills/luoling8192/ai-coding-principles/ai-coding-discipline"><img src="https://agentmods.dev/badge/skills/luoling8192/ai-coding-principles/ai-coding-discipline.svg" alt="Measured on agentmods" height="20"></a>
Per session 100 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,761 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00100 $0.01761
Opus 5 $0.00050 $0.00881
Sonnet 5 $0.00020 $0.00352
Haiku 4.5 $0.00010 $0.00176

Measured 4d ago against content hash 616f067df1d0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ai-coding-discipline 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 4d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

ai-coding-discipline/SKILL.md · 216 lines

How it starts

The opening of the file, as written. The whole thing — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Coding Discipline

These rules override default AI coding tendencies. Follow them in ALL code you write or modify.


Rule 1: No Silent Fallbacks

Never use fallback values to mask data that should not be missing.

// FORBIDDEN — hides upstream bugs
const price = product?.price ?? 0;
const userName = user?.name || "Unknown";

// CORRECT — fail fast when data contract is violated
if (product.price == null) {
  throw new Error(`Product ${product.id} is missing price`);
}
const price = product.price;

When fallbacks ARE acceptable:

  • User-facing display with explicit design intent (e.g., avatar placeholder)
  • Optional configuration with documented defaults
  • External input parsing where absence is a valid state

Checklist before writing ??, ||, or ?.:

  1. Can this value legitimately be null/undefined at this point?
  2. If it is null, will the fallback produce a correct result downstream?
  3. Would a thrown error help me find a bug faster?

If the answer to #3 is yes, throw instead of falling back.


Rule 2: No Catch-All try/catch in Business Logic

Business logic functions must NOT wrap everything in try/catch. Let errors propagate naturally.

// FORBIDDEN — swallows all errors into a useless null
async function createOrder(data: OrderInput) {
  try {
    const user = await getUser(data.userId);
    const coupon = await validateCoupon(data.couponCode);
    const order = await saveOrder({ ...data, discount: coupon.value });
    return order;
  } catch (error) {
    console.log('Error creating order:', error);
    return null; // caller gets null, has no idea what failed
  }
}

// CORRECT — let errors bubble up, catch at the boundary
async function createOrder(data: OrderInput) {
  const user = await getUser(data.userId);
  const coupon = await validateCoupon(data.couponCode);
  const order = await saveOrder({ ...data, discount: coupon.value });
  return order;
}

// Catch ONLY at the API/controller boundary
app.post('/orders', async (req, res) => {
  try {
    const order = await createOrder(req.body);
    res.json(order);
  } catch (error) {
    logger.error('Order creation failed', { error, body: req.body });
    res.status(500).json({ error: 'Order creation failed' });
  }
});

Read the full file on GitHub · 216 lines

Changes

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.

  1. 4d ago First seen · 216 lines · 100 tokens per session scan A 616f067df1d0

Subscribe to this mod's changes

ai-coding-discipline is a skill published in the GitHub repository luoling8192/ai-coding-principles (171 stars, last pushed 5mo ago), licensed MIT. It adds 100 tokens to every session and 1,761 once invoked, about $0.0005 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 2026-08-30.

Related

Other skills, from other repositories

claude-md-improver

Audit and improve CLAUDE.md files in repositories. Use when user asks to check, audit, update, improve, or fix CLAUDE.md files. Scans for all CLAUDE.md files, evaluates quality against templates, outputs quality report, then makes targeted updates. Also use when the user mentions "CLAUDE.md maintenance" or "project…

anthropics/claude-plugins-official · 82 tokens

agent-platform-rag-engine-management

Manage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK. Use when listing RAG corpora or files, inspecting a corpus, retrieving contexts, or generating content grounded in a RAG corpus. Do not use for standard database queries (use SQL/Spanner skills), Google…

google/skills · 85 tokens

agent-platform-model-registry

Agent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform models.

google/skills · 60 tokens

twitter-reader

Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…

himself65/finance-skills · 161 tokens

chenhao-limit-up

Use when evaluating A-share limit-up (涨停板) setups through Chen Hao's sentiment and momentum lens: market emotion cycles, board strength, follow-through, and short-term aggressive momentum trading.

questflowai/investorskills · 44 tokens

comet-github

将 Comet GitHub 维护请求路由到基于证据的 PR 审阅、Issue 分诊、本地想法收集、CI 诊断或 Issue 实施流程。用户提到 Comet GitHub Issue/PR 但未指定流程,或询问下一步如何处理时使用。.

rpamis/comet · 72 tokens