click-path-audit

click-path-audit is a skill for Claude Code, Codex from unrealandychan/clean-code-skill. It costs 71 tokens per session (1,954 once invoked), scanned A, a copy of click-path-audit, MIT.

A method for tracing a button, form, or other user interaction through every state change it causes, in order. It checks whether later actions undo earlier ones or leave the interface in the wrong state.

In plain words
What is it for?
It helps debug buttons, forms, and other touchpoints that update shared interface state. Use it to verify that the final screen matches what the interaction promises.
Why use it?
It finds interaction bugs that ordinary code checks can miss, including conflicting updates and timing problems between actions. These bugs can make a working button appear to do nothing.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps debug buttons, forms, and other touchpoints that update shared interface state. Use it to verify that the final screen matches what the interaction promises.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/unrealandychan/clean-code-skill/click-path-audit
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.

Any agent
npx skills add unrealandychan/clean-code-skill --skill click-path-audit
Clone the repo
git clone --depth 1 https://github.com/unrealandychan/clean-code-skill

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 click-path-audit

README.md
[![agentmods](https://agentmods.dev/badge/skills/unrealandychan/clean-code-skill/click-path-audit/github.svg)](https://agentmods.dev/skills/unrealandychan/clean-code-skill/click-path-audit)
Your own site
<a href="https://agentmods.dev/skills/unrealandychan/clean-code-skill/click-path-audit"><img src="https://agentmods.dev/badge/skills/unrealandychan/clean-code-skill/click-path-audit/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.

agentmods 80×15 button for click-path-audit

Your own site · 80×15
<a href="https://agentmods.dev/skills/unrealandychan/clean-code-skill/click-path-audit"><img src="https://agentmods.dev/badge/skills/unrealandychan/clean-code-skill/click-path-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,954 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 94% copy Near-identical to another mod 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 5.1 $0.00071 $0.01954
Opus 5.5 $0.00028 $0.00782
Sonnet 5.5 $0.00014 $0.00391
Haiku 4.5 $0.00007 $0.00195

Measured 1mo ago against content hash 662fc5d02483, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

click-path-audit 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.

Origin

This is a copy

94% identical to click-path-audit — 28 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/ecc/click-path-audit/SKILL.md · 246 lines

How it starts

The opening of the file, as written. The whole thing — 246 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/click-path-audit — Behavioural Flow Audit

Find bugs that static code reading misses: state interaction side effects, race conditions between sequential calls, and handlers that silently undo each other.

The Problem This Solves

Traditional debugging checks:

  • Does the function exist? (missing wiring)
  • Does it crash? (runtime errors)
  • Does it return the right type? (data flow)

But it does NOT check:

  • Does the final UI state match what the button label promises?
  • Does function B silently undo what function A just did?
  • Does shared state (Zustand/Redux/context) have side effects that cancel the intended action?

Real example: A "New Email" button called setComposeMode(true) then selectThread(null). Both worked individually. But selectThread had a side effect resetting composeMode: false. The button did nothing. 54 bugs were found by systematic debugging — this one was missed.


How It Works

For EVERY interactive touchpoint in the target area:

1. IDENTIFY the handler (onClick, onSubmit, onChange, etc.)
2. TRACE every function call in the handler, IN ORDER
3. For EACH function call:
   a. What state does it READ?
   b. What state does it WRITE?
   c. Does it have SIDE EFFECTS on shared state?
   d. Does it reset/clear any state as a side effect?
4. CHECK: Does any later call UNDO a state change from an earlier call?
5. CHECK: Is the FINAL state what the user expects from the button label?
6. CHECK: Are there race conditions (async calls that resolve in wrong order)?

Execution Steps

Step 1: Map State Stores

Before auditing any touchpoint, build a side-effect map of every state store action:

For each Zustand store / React context in scope:
  For each action/setter:
    - What fields does it set?
    - Does it RESET other fields as a side effect?
    - Document: actionName → {sets: [...], resets: [...]}

This is the critical reference. The "New Email" bug was invisible without knowing that selectThread resets composeMode.

Read the full file on GitHub · 246 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. 1mo ago First seen · 246 lines · 71 tokens per session scan A 662fc5d02483

Subscribe to this mod's changes

click-path-audit is a skill published in the GitHub repository unrealandychan/clean-code-skill (12 stars, last pushed 1mo ago), licensed MIT. It adds 71 tokens to every session and 1,954 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 94% identical to click-path-audit, differing in 28 lines, and is treated as a copy.

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