Revyl Cli Analyze logo

Revyl Cli Analyze

Organization
RevylAI
revyl-cli-analyze

Analyze failed Revyl test, workflow, and device-session reports via CLI to classify real bugs, flaky tests, infra issues, setup failures, or test-design improvements.

Overview

PublisherRevylAI
Repositoryrevyl-cli
Skill namerevyl-cli-analyze
Stars
522
Forks
25
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Revyl Cli Analyze 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/RevylAI/revyl-cli/tree/main/skills/revyl-cli-analyze
  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/RevylAI/revyl-cli.git /tmp/revyl-cli
mkdir -p .claude/skills
cp -r /tmp/revyl-cli/skills/revyl-cli-analyze .claude/skills/revyl-cli-analyze
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Revyl Cli Analyze 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 Revyl Cli Analyze 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 Revyl Cli Analyze 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.

Revyl CLI Failure Analysis Skill

Native Agent Behavior

  • Ask at most 1-3 concise clarification questions only when the target test, workflow, session, report URL, or sensitive action cannot be inferred from the repo or Revyl CLI.
  • Prefer safe defaults and keep moving when revyl test list, revyl workflow list, revyl test report, revyl workflow report, revyl device report, screenshots, or reports can answer the question.
  • When Revyl prints a report, viewer, or local app URL, open it in the native browser/tool surface when available: Codex Browser/in-app browser for local URLs, Revyl report/viewer URLs, screenshots, and page checks; Claude Code .claude/skills compatibility links plus WebFetch/WebSearch or configured MCP/browser tools; Cursor .cursor/skills when using --copy, otherwise shared .agents/skills, plus available MCP/browser tools. Codex also discovers shared .agents/skills directly.
  • If no browser tool is exposed, report the URL and verify through revyl test report, revyl workflow report, or revyl device report instead of claiming browser access.
  • Confirm before entering sensitive data, submitting forms, uploading files, accepting browser permissions, changing sharing/access, or deleting data.

Quick Start

bash
# 1) Pull structured evidence for test runs
revyl test report <test-name> --json

# Or pull structured evidence for a live/manual device session
revyl device report --session-id <session-id> --json

# 2) Classify failure
# REAL BUG | FLAKY TEST | INFRA ISSUE | SETUP ISSUE | TEST IMPROVEMENT

# 3) Apply fix and rerun
revyl test run <test-name>

For workflow-level triage:

bash
revyl workflow report <workflow-name>
revyl workflow report <workflow-name> --json

Decision Matrix

SignalClassificationAction
Instructions succeed but final state contradicts expected behaviorREAL BUGFile defect with expected vs actual evidence
App behavior acceptable but assertion wording too brittleFLAKY TESTRewrite validation wording
No steps executed or setup failedINFRA ISSUERe-run and inspect environment/device/build setup
Session remains on login, permission, onboarding, or recovery UI before the target flowSETUP ISSUEComplete or fix setup before feature testing
Test structure allows false positives or combines verify+actionTEST IMPROVEMENTRestructure YAML

Device Session Analysis

When a session-id is available, analyze that report directly. Do not only point at a previous successful session.

For setup-dependent sessions, explain the shape of what happened:

  1. Startup: platform, status, install/launch actions, dev-client deep link, and whether the relay or first bundle looked healthy.
  2. Setup entry: whether the session reached the expected starting screen and handled permission dialogs if they appeared.
  3. Credential handling: whether email/password were entered, but do not copy type_data.value, raw credentials, signed URLs, or artifact URLs from the report.
  4. Source of secrets: use test variables or {{global.name}} placeholders in YAML; do not hard-code or repeat secrets.
  5. Final state: the screen reached after setup and whether it proves the target flow is ready.
  6. Next action: if still on login/onboarding/recovery/permission UI, classify as SETUP ISSUE and complete setup before feature testing.

Output Format

text
Test/Session: <name or session-id>
Result: <PASS/FAIL>
Failure Step: <order> - <description>
Classification: <REAL BUG | FLAKY TEST | INFRA ISSUE | SETUP ISSUE | TEST IMPROVEMENT>
Confidence: <HIGH | MEDIUM | LOW>
Session shape:
- Startup: <platform/status/install-launch/deep-link readiness summary>
- Setup path: <entrypoint, permission dialog, credential or setup flow>
- Secret handling: <globals/placeholders used; no raw credentials copied>
- Final state: <target-ready screen or remaining setup blocker>
Evidence:
- Expected: <description>
- Observed: <reasoning summary>
- Why this classification: <short rationale>
Exact next action:
- <bug report details OR yaml rewrite OR infra rerun command>
Rerun command:
- revyl test run <test-name>

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Revyl Cli Analyze AI skill do?

Analyze failed Revyl test, workflow, and device-session reports via CLI to classify real bugs, flaky tests, infra issues, setup failures, or test-design improvements.

Why use Revyl Cli Analyze on TypingMind?

Because you install it once and use it with any model. Revyl Cli Analyze 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 Revyl Cli Analyze in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/RevylAI/revyl-cli/tree/main/skills/revyl-cli-analyze. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Revyl Cli Analyze?

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 Revyl Cli Analyze?

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

Is the Revyl Cli Analyze AI skill free?

It is published on GitHub by RevylAI. Check the repository for licensing terms. 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇