Introduction
When developers first started using Claude Code, the excitement was palpable—an AI that could write, debug, and even run code inside a single environment. Yet after dozens of sessions, a pattern emerged: the tool behaved like a black box that occasionally leaked secrets, generated noisy token usage, or rendered information in ways that broke existing workflows.
Minh Chien Vu documented this in 20 of his first 60 Claude Code sessions, where he repeatedly had to remind the model not to print environment variables. Rather than keep policing the AI manually, he built mods—small, reusable functions that run inside Claude Code and enforce rules automatically. This article shows how those custom hooks work, why they matter, and how you can create your own to make Claude Code truly yours.
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What Are Claude Code Mods?
Claude Code Mods are plugins written in TypeScript or JavaScript that execute inside the Claude Code runtime. They give developers direct control over three core aspects of the AI coding experience:
| Aspect | What a Mod Can Do |
|--------|-------------------|
| Prompt shaping | Rewrite or augment the text that is sent to Claude before a model call. |
| Tool interception | Observe, modify, or block tool calls (e.g., file reads, terminal commands). |
| UI rendering | Change what appears on screen, hide sensitive data, or add custom UI elements. |
In Anthropic’s own words, mods shift Claude Code from "an AI tool you use" to "an AI system you can program." The platform ships six built‑in mods (visible via the /plugin command) and lets you add any number of custom ones.
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Why Mods Matter: The Real‑World Frustrations They Solve
| Frustration | Traditional Work‑around | Mod Solution |
|-------------|------------------------|--------------|
| Accidental secret leakage (e.g., printing .env keys) | Manually scan output, copy‑paste safe versions | Hook that hides any secret pattern before rendering. |
| Token bloat – long conversations consume hundreds of thousands of tokens | Manually truncate history or ask Claude to summarize | Compact hook that calls Claude to summarize, then drops the original text, saving up to 50% tokens. |
| Unclear UI for sensitive data (e.g., email addresses) | Trust the user to remember not to share | Hover‑reveal hook that masks the email until the cursor hovers over it. |
| Untested “done” tasks left in code comments | Manual code review | Hook that flags // DONE comments without accompanying tests. |
These examples illustrate a broader truth: the pain isn’t the AI model itself; it’s the static tooling around it. Mods let you automate the fixes you otherwise repeat manually.
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How Mods Work Under the Hood
Every mod receives three arguments when an event fires:
function myHook($, e, next) {
// $ – Claude Code’s runtime utilities (file I/O, UI helpers, etc.)
// e – Event payload (prompt, tool call, render data, …)
// next – Function to pass control to the next hook or default handler
}A hook can allow, modify, or block the event:
| Action | Implementation |
|--------|----------------|
| Allow – let the event pass unchanged | return next(e); |
| Modify – change the payload before passing | e.text = e.text.replace(/secret/g, "**"); return next(e); |
| Block – stop the event entirely | return { deny: "Sensitive data hidden" }; |
Hooks also have a post‑processing phase: after next resolves, they can inspect or alter the result, enabling a single hook to replace both PreToolUse and PostToolUse behaviors.
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Building Your First Mod: Step‑by‑Step Guide
1. Define the rule – e.g., "hide secrets from my .env files".
2. Ask Claude Code to generate the skeleton – use the built‑in skill: @Claude, create a mod that redacts any line matching /API_KEY=.*/.
3. Validate the plugin – run claude plugin validate and review the calls: list to ensure only intended events are intercepted.
4. Write tests – claude plugin test executes the mod in a sandbox without any external model calls.
5. Load the mod – start Claude Code with --plugin-dir ./my-mods and test it in a live session.
Example: Secret‑Hiding Mod
export default function hideSecrets($, e, next) {
if (e.type === "fileRead" && e.path.endsWith('.env')) {
e.content = e.content.replace(/(API_KEY|SECRET)=.*/g, "$1=****");
}
return next(e);
}When the developer opens a .env file, the hook rewrites any line containing API_KEY or SECRET before Claude sees it, guaranteeing that the model never receives the raw values.
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Real‑World Mods in Action
1. Compact Token Usage
Problem: A session ballooned from 211 k to 132 k tokens after a compact‑summary hook. Implementation: The hook calls Claude to summarize the conversation, replaces the original transcript, and re‑checks usage after compaction (fixed in version 0.1.5).2. Hover‑to‑Reveal Emails
Problem: Displaying email addresses in plain text exposed personal data. Implementation: Register on therender event, replace each email with a hover‑only block using $send utilities, and return the modified payload without calling next.
3. Untested “DONE” Flag
Problem: Developers marked tasks as finished (// DONE) but forgot to add tests.
Implementation: A hook scans new file diffs; if it sees // DONE without a corresponding test file, it inserts a warning comment.
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Benefits Beyond the Immediate Fixes
| Benefit | Explanation |
|---------|-------------|
| Predictability | Your workflow no longer depends on the model’s whims; the mod enforces deterministic behavior. |
| Security | Sensitive data never leaves your sandbox, reducing compliance risk. |
| Performance | Token‑saving hooks lower API costs and speed up response times. |
| Shareability | Mods are standard plugins; you can publish them to the community or reuse them across projects. |
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The Future of Programmable AI Agents
Claude Code Mods signal a shift from prompt engineering to agent engineering. As Anthropic continues to expose more internal events, developers will be able to rewrite entire portions of the AI’s reasoning pipeline, embed domain‑specific policies, and even create custom UI panels for debugging. In short, the next generation of AI‑assisted development will be as programmable as any traditional IDE.
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Conclusion
If you’ve ever been annoyed by Claude Code spilling secrets, wasting tokens, or rendering data in an inconvenient way, you now have a concrete solution: write a mod**. By defining a rule, generating the hook, testing it, and loading it into Claude Code, you can turn a generic AI assistant into a tailor‑made development partner. The power to program the programmer is finally in your hands.
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/plugin install, and let the AI help you write your first custom hook today.
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