Audit My App logo

Audit My App

OrganizationPopular
reticlehq
audit-my-app

Sweep a whole running web app for what is broken, without writing a script or knowing the codebase. Clicks every reachable control and reports dead buttons, console errors, failed requests, and places where the API and the screen disagree. Use on an unfamiliar codebase, before a release, after a big merge or dependency bump, when the user asks for a smoke test or a health check, or when someone says "just check everything still works".

Overview

Publisherreticlehq
Repositoryreticle
Skill nameaudit-my-app
Stars
1.2K
Forks
176
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by reticlehq on GitHub. Read the source before you install it.

Installation

Install the Audit My App AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/reticlehq/reticle/tree/main/skills/audit-my-app
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/reticlehq/reticle.git /tmp/reticle
mkdir -p .claude/skills
cp -r /tmp/reticle/skills/audit-my-app .claude/skills/audit-my-app
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Audit My App in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Audit My App on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Audit My App is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Sweep the whole app and report what is broken

You do not need to understand the codebase to check it. Reticle drives every reachable control in the running app and reports the anomalies. Not installed? RETICLE_INSTALL_SOURCE=npx_skill npx @reticlehq/server@latest init, then the install-and-verify skill.

1. Ask the app what it can do

reticle_run({ tool: "reticle_capabilities", args: { sessionId } })

About 1 KB, and it is the app describing its own testable surface: every registered testid, every domain signal, the stores, and the saved flows with their steps. That beats snapshotting the DOM and inferring intent from element names, and it is the cheapest orientation available.

2. Click everything

reticle_run({ tool: "reticle_verify", sessionId, args: { action: "crawl", maxSteps: 25 } })
json
{
  "interactiveFound": 3,
  "stepsRun": 3,
  "anomalies": [],
  "counts": { "consoleErrors": 0, "failedRequests": 0, "deadControls": 0, "contradictions": 0 },
  "visited": ["- textbox \"Email\"", "- button \"Sign in\""],
  "truncated": false
}

deadControls and contradictions are the two counts that mean a real problem. Console errors and failed requests are worth reading but a busy app produces both innocently. A dead control is a button wired to nothing; a contradiction is a channel disagreeing with what the screen showed.

It clicks everything, so point it at a dev environment. maxSteps bounds it and defaults to 25. Want a non-destructive pass first: what is reachable, without touching it? reticle_run({ tool: "reticle_explore", sessionId }).

Do not hand-roll this sweep. The obvious version (click each control, assert no console error) passes on exactly the bug you are sweeping for, because a dead button throws nothing.

3. Compare what the API said against what rendered

reticle_run({ tool: "reticle_reconcile", sessionId })

The API returned ten rows, the table shows nine, nothing errored. Neither the network log nor the DOM is wrong on its own. Only the comparison catches it, and nothing else you can run makes that comparison.

4. Find the parts nobody exercised

reticle_run({ tool: "reticle_verify", sessionId, args: { action: "coverage" } })   // { total, exercised, untouched }

And if the project already has saved flows, ask whether they prove anything:

reticle_run({ tool: "reticle_domain", sessionId })
// → { flowCount, coverage: { asserted, presenceOnly, assertionFree }, gaps: { declaredUntestedSignals, … } }

A suite of forty flows where thirty-one assert nothing is a suite that will stay green through any regression. That number is usually the most alarming thing in the whole audit, and nothing else reports it.

5. Report

Lead with the counts, then one line per real finding with its file:line from reticle_look { action: "element" }. Separate:

  • Broken: dead controls, contradictions, failed requests, errors thrown during the sweep.
  • Unverified: untouched controls and assertionFree flows. Not known to be broken; known to be unchecked.
  • Pre-existing: console errors that were already there before the sweep started. Say so, so nobody attributes them to today's change.

Do not report a clean audit over a partial one. If truncated is true or maxSteps cut the sweep short, say what was not reached. A silent cap reads as "everything is fine" when it means "I stopped".


Full capability reference: curl https://docs.reticle.sh/capabilities.md. Everything else: curl https://docs.reticle.sh/llms.txt.

Frequently asked questions

What does the Audit My App AI skill do?

Sweep a whole running web app for what is broken, without writing a script or knowing the codebase. Clicks every reachable control and reports dead buttons, console errors, failed requests, and places where the API and the screen disagree. Use on an unfamiliar codebase, before a release, after a big merge or dependency bump, when the user asks for a smoke test or a health check, or when someone says "just check everything still works".

Why use Audit My App on TypingMind?

Because you install it once and use it with any model. Audit My App is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Audit My App in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/reticlehq/reticle/tree/main/skills/audit-my-app. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Audit My App?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Audit My App?

As many as you like. As long as a model supports skills, you can use Audit My App with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Audit My App AI skill free?

Yes. It is published on GitHub by reticlehq under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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