Shadow Testing
ListedSimulates user interactions against live systems to proactively identify bugs and performance bottlenecks without impacting real users.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add rysweet/amplihack --skill shadow-testing -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
rysweet
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.
No pipe-to-shell installers: failed
Runs code fetched at install time in 11 places.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
What it found (3 of 11)
- .claude/skills/shadow-testing/README.md:159pip install straight from a URL
pip install git+https://github.com/org/my-lib && - .claude/skills/shadow-testing/README.md:174pip install straight from a URL
amplifier-shadow exec multi-test "pip install git+https://github.com/org/cli" - .claude/skills/shadow-testing/SKILL.md:131pip install straight from a URL
amplifier-shadow exec test-lib "uv pip install git+https://github.com/myorg/my-library"
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Only contacts known or declared hosts: github.com.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
Hosts contacted
github.comsource hostNo obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
Pinned to a commit: passed
Scanned rysweet/amplihack at 84424457d5.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 84424457d5
- Scanned
- 12 files, 2,237 lines
About this skill
What it does
The shadow-testing skill enables AI agents to perform automated testing in isolated environments, often referred to as "shadow mode." It allows agents to validate code changes or system behaviors without disrupting live production services.
When to use it
- You need to verify a new feature works correctly before merging it into the main branch.
- You want to run performance benchmarks on a specific configuration without affecting real users.
- You are debugging an issue and need to simulate traffic patterns safely.
- Your team requires a safety net to prevent regression bugs from reaching production.
Key capabilities
- Executes test suites in isolated shadow environments.
- Validates system behavior against expected outcomes without live impact.
- Supports automated verification of code changes prior to deployment.
- Provides feedback on potential issues before they affect production systems.
Example prompts
- "Run a full regression test suite in shadow mode for the new checkout flow."
- "Simulate high-traffic load testing on the API endpoints without impacting live users."
- "Validate the latest database migration script in an isolated environment first."
Tips & gotchas
Ensure your agent has read-only access to the target systems to prevent accidental data modification during shadow tests. Always review test logs carefully, as failures in shadow mode may still indicate critical logic errors that require immediate attention.