Openclaw Skills for API Toolkit Professional Edition turns AI agents into enterprise-grade API testing and debugging operators with mock servers, contract checks, and load testing.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install api-toolkit
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install api-toolkit using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is API Toolkit Professional Edition?
API Toolkit Professional Edition is an end-to-end API quality skill built for AI coding agents and engineering teams that need to validate, debug, mock, and stress-test APIs across the full delivery lifecycle. With Openclaw Skills, agents can run batch regression tests, generate local mock servers from OpenAPI specs, verify response contracts, analyze performance bottlenecks, and surface structured error recovery guidance.
It is designed for parallel frontend/backend development, pre-release performance validation, third-party API decoupling, continuous contract enforcement in CI, and collaborative API maintenance. Openclaw Skills helps reduce manual verification, catch drift before merge, and convert API quality checks into repeatable, automation-friendly workflows.
API Toolkit Professional Edition Use Cases
- Parallel frontend/backend development using OpenAPI-driven mock servers before the real backend is ready
- Pre-release performance validation with staged concurrency, latency analysis, and bottleneck detection
- Continuous API contract validation in CI to prevent breaking changes from shipping unnoticed
- Third-party API decoupling by recording and replaying real responses for stable local development
- Batch regression testing across multiple data sets with dependency-aware execution and retries
- Error code lookup and recovery planning for service-specific business errors and HTTP failures
- Team collaboration workflows with shared test sets, Git versioning, PR review, and webhook notifications
- Multi-workspace SaaS API verification where isolation and workspace-specific assertions matter
How API Toolkit Professional Edition Works
- Provide the required inputs such as OpenAPI spec files, target endpoints, test scenarios, or performance targets to the AI agent.
- The skill selects the correct workflow: mock generation, regression testing, load testing, contract validation, or error-dictionary lookup.
- Openclaw Skills executes the corresponding CLI-driven action, such as starting a mock server, replaying recordings, or running a contract check.
- The skill evaluates responses using assertions, schema comparison, latency thresholds, retry policies, and service-specific validation rules.
- Results are emitted in structured output formats like HTML, JSON, or JUnit XML so they can be reviewed locally or consumed in CI.
- If failures occur, the skill maps them to actionable recovery guidance, including parameter fixes, auth corrections, retry behavior, or service-side troubleshooting.
- Teams can persist test sets, track diffs, and notify collaborators through Git, PRs, and webhooks for continuous API quality management.
API Toolkit Professional Edition Setup
Confirm the environment meets the runtime requirements for Openclaw Skills:
- Node.js 18+
- Python 3.8+
- Git
- Optional: curl and jq
- An AI agent platform that can run SKILL.md workflows
Configure credentials securely using environment variables or the recommended credentials directory:
mkdir -p ~/.api-toolkit/credentials
export API_TOOLKIT_TOKEN="your-token"
export TARGET_API_TOKEN="your-target-service-token"
- If collaboration features are needed, log in to the team workspace:
api-toolkit collab login
- Verify your OpenAPI spec is available and valid:
ls -la ./openapi.yaml
- Start the local mock server from your OpenAPI spec:
api-toolkit test start --spec ./openapi.yaml --port 8080
- Run regression or scenario-based mock tests:
api-toolkit test start --spec ./openapi.yaml --scenario edge-case
- Execute contract validation against a real response payload:
api-toolkit contract-check \
--spec ./openapi.yaml \
--endpoint /v1/users \
--method GET \
--response ./sample-response.json
- Run a load test when preparing for release:
api-toolkit load-test \
--target https://api.example.com/v1/users \
--duration 300s \
--concurrency 10,50,100,200 \
--rampup 30s \
--report ./reports/load-20260718.html
- Record and replay third-party API traffic when upstream services are unstable:
api-toolkit mock record --target https://api.example.com --port 8080
api-toolkit mock replay --recording ./recordings/2026-07.json
API Toolkit Professional Edition Data Schema & Taxonomy
Openclaw Skills organizes API Toolkit data around specs, test sets, recordings, reports, and error knowledge.
| Data Type | Purpose | Typical Format | Notes |
|---|---|---|---|
| OpenAPI Spec | Source of truth for mock generation and contract validation | openapi.yaml / openapi.json |
Must be maintained by the team |
| Test Set | Declarative batch regression definitions | YAML | Supports setup, teardown, variable extraction, dependency ordering, and assertions |
| Data Source | Parameterized test inputs | CSV / JSON | Used for multi-row or multi-case execution |
| Recording | Captured upstream API traffic for offline replay | JSON | Useful for third-party API stabilization |
| Load Report | Performance results and bottleneck analysis | HTML / JSON / JUnit XML | CI-friendly and shareable |
| Error Dictionary | Service-specific business and HTTP error mapping | Structured lookup index | Supports service and error-type search |
| Collaboration Metadata | Ownership, permissions, diffs, and notifications | Git + workspace metadata | Enables PR review, role-based access, and change tracking |
Assertion taxonomy
- Status checks:
status == 200 - Body checks:
response.body.code == 0 - Structural checks: length, required fields, missing/extra fields
- Pattern checks: regex validation for IDs, UUIDs, emails, dates
- Header checks: content type and custom header verification
- Timing checks: response time thresholds such as
time_total < 500
Output taxonomy
HTMLfor human-readable reportsJSONfor machine parsing and automationJUnit XMLfor CI test reporting
Operational metadata
- Test scenarios:
default,edge-case,empty,error - Load profile: duration, ramp-up, concurrency array, target URL
- Contract scope: endpoint, method, spec path, response sample
- Recovery state: retry counts, failure class, and remediation guidance
API Toolkit Professional Edition Advanced Features
- Batch regression testing with YAML-defined test sets, setup/teardown hooks, variable extraction, and dependency-aware execution
- Multi-dimensional assertions covering HTTP status, response body, headers, timing, regex patterns, and schema drift
- Data-driven execution from CSV and JSON sources for the same test plan across multiple input sets
- Automatic retry behavior for network-layer failures, while avoiding retries for business logic errors
- Local mock server generation from OpenAPI specs with scenario switching, latency injection, status injection, and recorded replay
- Step-ramp, constant-concurrency, and peak-load pressure testing with QPS, P95/P99, and error heatmap analysis
- OpenAPI contract checks that fail CI when response drift, missing fields, or type mismatches are detected
- Service-level error dictionary lookup for fast diagnosis and recovery planning across 80+ services and 1000+ business errors
- Shared collaboration workspace with Git versioning, diff comparison, role-based permissions, PR review, and webhook notifications
- CI/CD-friendly report export in HTML, JSON, and JUnit XML formats for automated quality gates
- Workspace-isolated testing workflows for SaaS environments with multi-tenant credentials and response separation
- Safe credential handling through environment variables and credential-directory storage, avoiding hardcoded secrets
- Openclaw Skills support for full lifecycle API quality assurance from local development to release validation and ongoing contract enforcement
SKILL.md
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