Install
$ agentstack add skill-gatling-gatling-ai-extensions-gatling-build-tools ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Gatling Enterprise - Build Tools
Instructions
Step 1: Detect the build tool
Inspect the project root and identify the build tool by looking for these files, in this order:
- Maven:
pom.xml - JavaScript CLI:
package.json - Gradle:
build.gradle, orbuild.gradle.kts - sbt:
build.sbt
Step 2: Load build-tool-specific instructions
Once the build tool is identified, read the corresponding file and follow its instructions:
- Maven: ./references/maven-plugin.md
- JavaScript CLI: ./references/javascript-cli.md
- Gradle: ./references/gradle-plugin.md
- sbt: ./references/sbt-plugin.md
Step 3: Common pre-flight checks
These checks apply regardless of build tools:
- Verify
.gatling/package.confexists and is not empty.
If missing or empty, help the user create it using the Configuration as Code skill.
- Verify API token: check if
GATLING_ENTERPRISE_API_TOKENis set. - Verify tests referenced matches actual test classes in the source tree.
Step 4: Build-tool-specific steps
Follow the instructions from the file loaded in Step 2 for:
- Verifying the project compiles.
- Running the deploy command.
Step 5: Post-deploy
The output logs package and test IDs. Suggest updating .gatling/package.conf with these IDs for consistent future deployments.
Step 6: Starting a test
Ask the user if they want to start the test on Gatling Enterprise. If so, follow the instructions from the file loaded in Step 2 for running the start command.
Troubleshooting
Build tool deploy/start or MCP tool call fails
If the build tool deploy/start or any MCP tool call fails, check authentication first:
- Verify
GATLING_ENTERPRISE_API_TOKENis set in the environment. - If missing, warn the user, suggest using
direnv, and offer to create a.envrcfile. - Never print the actual token value in the terminal or logs.
- The token needs at least the Configure role on Gatling Enterprise.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: gatling
- Source: gatling/gatling-ai-extensions
- License: Apache-2.0
- Homepage: https://gatling.io
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.