mcpbeat Sign in

Manual Testing Agent Skill

Run a manual test of the current change end-to-end and output reproducible test instructions for the PR "Test instructions" section.

569 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
396
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/DataDog/browser-sdk --skill manual-testing

The instruction itself

6 sections, as written by the author

Step 1: Understand the change

If you don't have the PR changes in memory, review all commits in the PR to identify what SDK behavior changed and what events/fields need to be verified.

Step 2: Start the dev server

The dev server serves the sandbox/ directory and proxies intake requests locally. Use yarn dev-server --help to list all available commands.

yarn dev-server start

Step 3: Create a temporary sandbox page

Create sandbox/test-<topic>.html. See sandbox/index.html for a minimal example. Include only the elements needed to exercise the change. Always use proxy: '/proxy'.

cat > sandbox/test-<topic>.html << 'EOF'
<!doctype html>
<html lang="en">
  <head>
    <meta charset="UTF-8" />
    <title>Test <topic></title>
    <script src="/datadog-rum.js"></script>
    <script>
      DD_RUM.init({ clientToken: 'xxx', applicationId: 'xxx', proxy: '/proxy', trackUserInteractions: true })
    </script>
  </head>
  <body>
    <!-- elements needed to exercise the change -->
  </body>
</html>
EOF

Step 4: Run the test flow

Get the dev server URL from yarn dev-server status. Clear any previous intake data, open the page, interact with it using CSS selectors, flush events by opening a new tab or reloading, then inspect the intake:

yarn dev-server intake clear
agent-browser open <dev-server-url>/test-<topic>.html
agent-browser click '#...'
agent-browser tab new
yarn dev-server intake <selector> | jq '<field>'

Use yarn dev-server intake --help to find the right selector.

To evaluate JavaScript on the page (e.g. to inspect window state set by beforeSend), switch focus back to tab 0 first, then use agent-browser eval:

agent-browser tab 0
agent-browser eval 'window.someValue'

Step 5: Verify the output matches expectations, then present the test instructions

Output a self-contained bash snippet with the exact commands run and the expected output. This goes directly into the PR "Test instructions" section.

Step 6: Clean up

yarn dev-server stop
rm sandbox/test-<topic>.html

Other skills for the same job

different authors, same section of the catalogue
Webapp Testing
by anthropics
vendor ×12

Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.

6k tokens scripts
Finishing A Development Branch
by ZhanlinCui
×7

Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup

1k tokens
Test Driven Development
by w95
×7

Use when implementing any feature or bugfix, before writing implementation code

2k tokens
Systematic Debugging
by ratacat
×7

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes

10k tokens scripts
Verification Before Completion
by ZhanlinCui
×6

Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always

1k tokens
Backtest Expert
by BaggaT236
×3

Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "beating ideas to death" methodology, parameter robustness testing, slippage modeling, bias prevention, and interpreting backtest results. Applicable when user asks about backtesting, strategy validation, robustness testing, avoiding overfitting, or systematic trading development.

15k tokens scripts
Adaptyv
by christophacham
×3

Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.

16k tokens
Aeon
by christophacham
×3

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.

19k tokens

How to use it

Copy the folder

Take datadog/manual-testing from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.