testrail-integration
Syncs test runs / results / cases between an automated test suite and TestRail (Gurock / Idera) - opens a Test Run for the build (`add_run`), batches per-case results back via `add_results_for_cases` (preferred over per-test `add_result_for_case` - N+1 API calls vs 1), maps the test framework's pass/fail/skip to TestRail status IDs, and attaches build URL + version + elapsed time. Use when the team's test management is standalone TestRail (not a Jira app) and automated suites must update it without a human copy-paste step; when the TCM is instead a Jira app use xray-integration (Xray) or zephyr-integration (Zephyr Scale), and for hosted cross-run flakiness analytics rather than TCM sync use currents-integration.
Install with skills.sh (any agent)
npx skills add testland/qa --skill testrail-integrationtestrail-integration
Overview
Teams that use TestRail as the source of truth for test cases and runs need automation result sync - without it, automated runs don't update TestRail and the test-management view drifts from reality. This skill wires that sync.
The patterns below are the stable, long-documented TestRail API shapes; the canonical KB + API-reference URLs and the per-language client libraries are in References.
When to use
Step 1 - Authentication
TestRail uses HTTP Basic auth with email + API key (preferred over password - the API key is per-user, revocable):
# Generated in TestRail: My Settings → API Keys
TESTRAIL_API_KEY=<generated>
TESTRAIL_USER=test-runner@example.com
TESTRAIL_HOST=https://yourcompany.testrail.ioAll requests use:
Authorization: Basic <base64(email:api_key)>
Content-Type: application/jsonThe base API URL is ${TESTRAIL_HOST}/index.php?/api/v2. Every endpoint is appended after ?/api/v2.
Step 2 - Map test names to TestRail case IDs
Two common patterns:
Pattern A - Embed case ID in test name
def test_C1234_can_add_to_cart():
...A regex extracts C1234 (the TestRail case ID) at sync time.
Pattern B - Annotation / metadata
@Test
@TestRailCase(id = 1234)
void canAddToCart() { ... }Or in JS:
test('can add to cart [C1234]', async () => {
// ...
});Pattern A is the lowest-friction; Pattern B is cleaner when the test framework supports custom annotations. Either way, the sync script needs a way to find the case ID from the test result.
Step 3 - Open a Test Run for the build
# scripts/testrail_sync.py
import base64, json, requests
from os import environ as env
API = f"{env['TESTRAIL_HOST']}/index.php?/api/v2"
AUTH = base64.b64encode(f"{env['TESTRAIL_USER']}:{env['TESTRAIL_API_KEY']}".encode()).decode()
HEADERS = {'Authorization': f'Basic {AUTH}', 'Content-Type': 'application/json'}
def open_run(project_id, suite_id, name, case_ids):
r = requests.post(
f'{API}/add_run/{project_id}',
headers=HEADERS,
json={
'suite_id': suite_id,
'name': name,
'include_all': False,
'case_ids': case_ids,
},
)
r.raise_for_status()
return r.json()['id'] # Run IDinclude_all: False + case_ids: [...] opens a run scoped to the exact cases the automated suite covers. Without this, a 5,000-case project produces a 5,000-row Test Run with thousands of empty cells.
Step 4 - Batch results back
The well-known status ID convention for stock TestRail installations:
| Status | ID |
|---|---|
| Passed | 1 |
| Blocked | 2 |
| Untested | 3 |
| Retest | 4 |
| Failed | 5 |
Custom status IDs (added by the project admin) follow 6+. Read the get_statuses endpoint at sync-script init to confirm - don't hard-code.
Verify before batching: call get_statuses and assert every status_id in your map appears in the returned set. If one is missing (a renamed or custom status), fix the map and re-run rather than posting - TestRail accepts an unknown status_id and writes the result to the wrong status silently.
def add_results(run_id, results):
"""results = [{'case_id': 1234, 'status_id': 1, 'comment': '...', 'elapsed': '12s'}]"""
r = requests.post(
f'{API}/add_results_for_cases/{run_id}',
headers=HEADERS,
json={'results': results},
)
r.raise_for_status()
return r.json()Use add_results_for_cases (batch), not add_result_for_case (per-case). A 200-test run is one POST instead of 200 POSTs; TestRail's rate limit (180 req/min on shared cloud) makes per-case posting flaky.
Each result entry accepts case_id + status_id (both required), plus optional comment, elapsed, version, defects, and assignedto_id. The full per-result field list is in references/ci-and-fields.md.
Step 5 - Close the run
After all results are in:
def close_run(run_id):
requests.post(f'{API}/close_run/{run_id}', headers=HEADERS)Closed runs are read-only - no further results can be added. Useful for release-stamp runs; skip for runs that get re-run.
Step 6 - Operating in CI
Run the sync as an if: always() step after the test step so failed runs still update TestRail. The script parses junit.xml (junit-xml-analysis), extracts case IDs (Step 2), opens a run scoped to the covered cases (Step 3), batches results (Step 4), and optionally closes the run on main only (Step 5). Supply TESTRAIL_HOST / TESTRAIL_USER / TESTRAIL_API_KEY from CI secrets. The full GitHub Actions workflow, the per-result field list, and handling for tests that carry no case ID are in references/ci-and-fields.md.
Worked example
A Jest suite syncing one build to TestRail project 42, suite 7:
export TESTRAIL_HOST=https://acme.testrail.io
export TESTRAIL_USER=ci@acme.com
export TESTRAIL_API_KEY=... # My Settings > API Keys
npm test -- --reporters=jest-junitrun_id = open_run(42, 7, "main · a1b2c3d", [1234]) # returns the Run ID
add_results(run_id, [
{'case_id': 1234, 'status_id': 1, 'comment': 'green on CI', 'elapsed': '12s'},
])Open the run in TestRail to see C1234 marked Passed with the 12s elapsed time. Close the run (Step 5) only when this is the main build.
Anti-patterns
| Anti-pattern | Why it fails | Fix |
|---|---|---|
Per-test add_result_for_case calls | N API calls; rate limit (180 req/min on Cloud) trips on suites >180 cases. | add_results_for_cases batch (Step 4). |
Hard-coded status IDs without get_statuses | Custom statuses break the mapping; "Failed" goes to "Custom Status" silently. | Fetch get_statuses at script init; build the map dynamically. |
include_all: True on add_run | The run includes every case in the suite, most as Untested; runs become noise. | include_all: False + explicit case_ids: [...]. |
| Posting credentials as URL params | Secrets leak in proxy logs. | Always Basic auth header (Step 1). |
| No retry on 5xx | TestRail Cloud has occasional 502s; one transient failure loses the whole run. | Retry with exponential backoff on 5xx; cap at 3 attempts. |
| Closing every run, including PR runs | Closed runs can't accept reruns; a PR retest after fixing flake fails to update. | Close only main runs (Step 6); PR runs stay open. |
| Storing case IDs in test code AND in TestRail | Two sources of truth; renames drift. | TestRail is canonical; test code references via ID only (Step 2 Pattern A). |
Limitations
References
TestRail per-result fields, CI wiring, and untested-case handling
View source (opens in new window)TestRail per-result fields, CI wiring, and untested-case handling
Deep reference for the testrail-integration SKILL.md. Consult for the full per-result field list, the end-to-end GitHub Actions workflow, and how to surface tests that carry no TestRail case ID.
Per-result fields
Fields accepted on each entry in the add_results_for_cases results array (Step 4):
| Field | Use |
|---|---|
case_id | Required. The TestRail case ID. |
status_id | Required. Per the status-ID convention in Step 4. |
comment | The test framework's failure message + stack trace. |
elapsed | Format: '1h 30m 45s' or '45s'. Optional. |
version | Build version / commit SHA. Searchable in the UI. |
defects | Comma-separated Jira / GitHub issue keys. |
assignedto_id | Auto-assign failures to a specific user. |
Wire into a CI pipeline
- name: Run tests
run: npm test -- --reporters=jest-junit
env:
JEST_JUNIT_OUTPUT_FILE: junit.xml
- name: Sync to TestRail
if: always()
env:
TESTRAIL_HOST: ${{ secrets.TESTRAIL_HOST }}
TESTRAIL_USER: ${{ secrets.TESTRAIL_USER }}
TESTRAIL_API_KEY: ${{ secrets.TESTRAIL_API_KEY }}
TESTRAIL_PROJECT_ID: '42'
TESTRAIL_SUITE_ID: '7'
BUILD_VERSION: ${{ github.sha }}
run: python scripts/testrail_sync.py junit.xmlThe sync script:
Handling untested case IDs
Tests that have no TestRail case ID (case removed; new test; intentional sync-skip) need explicit handling:
unmapped = [t for t in tests if extract_case_id(t['name']) is None]
if unmapped:
print(f"Warning: {len(unmapped)} tests have no TestRail case ID:")
for t in unmapped:
print(f" - {t['name']}")Don't silently drop unmapped tests - they're candidates for either new TestRail cases or naming-pattern fixes.
Related skills
allure-reports
Configures Allure Report (test-runner adapter install, `allure-results` directory wiring, `categories.json` for failure classification, `history-trend.json` retention via the copy-history-between-runs pattern), runs the Allure CLI to convert `allure-results` to a static HTML site, and uploads the report as a CI artifact. Use when the team needs richer test reporting than JUnit XML - step-level attachments, per-test history, retry tracking, and severity / epic / feature labeling across framework-agnostic adapters (pytest, Jest, JUnit, TestNG, NUnit, Mocha). As a rich static HTML report generator, it is the open-source alternative to extentreports (JVM/.NET per-test HTML narrative); for hosted cross-run flakiness analytics rather than a static per-run report use currents-integration.
cobertura-analysis
Parses Cobertura XML coverage reports (the JVM-canonical format originally from the cobertura-cobertura tool, also emitted by JaCoCo `--coverage-xml`, coverage.py `--xml`, Istanbul / Jest `cobertura` reporter, gocover-cobertura, and dotnet's `coverlet`). Walks the coverage-04 DTD structure (coverage → packages → classes → methods → lines + conditions), computes per-file deltas, and emits PR-time gating verdicts. Use when the existing CI emits Cobertura XML - typical for JVM-heavy stacks and tools that ship Cobertura as a default reporter.
coverage-diff-reporter
Builds a per-PR coverage delta report from any pair of LCOV / Cobertura / JSON coverage outputs (current run + baseline from the merge target) - emits a per-file table with line% / branch% deltas, called-out new files, hidden drops (overall +0.1pp but one file -8pp), and a single-line PR-comment summary. Use when the team has coverage in CI but needs human-readable PR feedback that points at the specific file the reviewer should focus on, not just an aggregate number.
coverage-py-analysis
Configures coverage.py for Python projects - wires `coverage run` (replacing `python` for instrumentation), enables branch coverage via the `--branch` flag or `branch = True` config, manages the `.coverage` data file (single-process and `combine` for parallel pytest-xdist runs), authors `.coveragerc` with `source` / `omit` / `fail_under`, and emits the format the downstream tool needs (`coverage report` for terminal, `coverage xml` for Cobertura, `coverage html` for human review, `coverage lcov` for SaaS, `coverage json` for programmatic post-processing). Use for any Python test stack (pytest, unittest, nose) that needs PR-time coverage signal.
currents-integration
Wires Currents.dev cross-run test analytics into a Playwright suite: installs `@currents/playwright`, authors `currents.config.ts` (env-sourced `recordKey` + `projectId`), registers `currentsReporter()`, enables trace/video/screenshot artifacts, and runs via `npx pwc` so per-test traces stream to the Currents dashboard with over-time flakiness, slowest-test, and pass-rate trends. Use when a Playwright suite needs hosted cross-run suite-health analytics; for a static per-run report use extentreports or allure-reports, and to sync results into Jira test management use zephyr-integration or xray-integration.
extentreports
Configures ExtentReports v5 for a JVM (or .NET via `extentreports-dotnet`) test run: wires `ExtentSparkReporter`, `attachReporter`, `createTest`, the `info`/`pass`/`warning`/`skip`/`fail` log chain, screenshots via `MediaEntityBuilder`, hierarchical `createNode` parent/child tests, and category/author/device labels, emitting a static HTML report alongside JUnit XML for CI artifact upload. Use when a suite on the Aventstack ExtentReports stack wants a richer per-test HTML narrative than JUnit XML gives; for code-coverage reporting use jacoco-analysis, and for hosted cross-run flakiness analytics use currents-integration.
jacoco-analysis
Configures JaCoCo for JVM projects (Java / Kotlin / Scala / Groovy) - wires the runtime agent via `jacoco-maven-plugin` `prepare-agent`, generates per-build reports (HTML / XML / CSV) via the `report` goal, gates the build via the `check` goal with element / limit / minimum rules, parses the six native counters (instructions, branches, lines, methods, classes, cyclomatic complexity), and converts JaCoCo XML to LCOV / Cobertura when downstream tools need a different format. Use when the JVM build is Maven / Gradle and the team wants the canonical JVM coverage tool - or to convert JaCoCo output for cross-language coverage aggregation.
jest-coverage-analysis
Configures Jest's built-in coverage (Istanbul-instrumented `babel` provider or V8-native `v8` provider), wires the right `coverageReporters` for downstream consumption (`lcov` for SaaS / cross-tool, `cobertura` for Jenkins, `text-summary` for terminal, `html` for human review), authors per-file `coverageThreshold` rules that focus the gate on critical paths (vs the global-only foot-gun), and parses the per-file JSON output for PR-time deltas. Use when the project tests with Jest (or Vitest, which uses the same Istanbul/V8 provider) and the team needs PR-time coverage signal that's both local-runnable and CI-gateable.
junit-xml-analysis
Parses JUnit-format XML reports (the de-facto interchange format every CI ingests - Jenkins, GitHub Actions, GitLab, Buildkite, CircleCI) into structured, machine-readable per-suite and per-case metrics tables (passed / failed / errored / skipped, time, classname, message, stack), groups failures by classname for trend analysis, and distinguishes "new failures vs flakes" by cross-referencing the `flakyFailure` and `rerunFailure` rerun elements. Use when the downstream consumer is a dashboard, script, or aggregator - not when the goal is a human-readable prose summary (use test-run-summary-author for that). Single-run, in-XML aggregation only; for cross-run cross-environment roll-ups, use a cross-run test-suite aggregator.
lcov-analysis
Parses LCOV `.info` text files (the de-facto coverage interchange format produced by gcov, llvm-cov, Coverage.py via `py2lcov`, JaCoCo via `xml2lcov`, Devel::Cover, Jest via `lcov` reporter, NYC, and most others). Extracts per-file line / function / branch metrics from the canonical record keywords (TN/SF/FN/FNDA/FNF/FNH/BRDA/BRF/BRH/DA/LH/LF), computes the diff vs a baseline, and emits per-file gating verdicts. Use for PR coverage gates that don't depend on a specific language runtime.
test-coverage-targeter
Builds a "what to test next" recommendation by combining a coverage report (LCOV / Cobertura / coverage.py JSON / Jest JSON / JaCoCo XML) with the PR's `git diff`, ranking uncovered branches by risk × cost - risk weighted by McCabe cyclomatic complexity and code-churn frequency, cost weighted by the unit-test pyramid layer (unit tests cheaper than integration than E2E). Emits a prioritized list with concrete file:line targets and the test layer recommended for each. Use when a team has the budget to write 5 - 10 new tests and needs help picking which uncovered code to target first instead of blindly chasing 100% coverage.
test-run-summary-author
Build-an-X workflow that turns a structured test-run artifact (JUnit XML, Allure JSON, TestRail / Xray / Zephyr export) plus optional release context (version, build URL, deploy target) into a narrative markdown summary for release notes, an exec status update, or a stand-up Slack post. Distinct from the per-framework parsers junit-xml-analysis / allure-reports / coverage-diff-reporter, which emit structured tabular reports: this skill takes the same data and writes the human-readable narrative. Use when a manager needs a draft release note or stand-up summary from a single run; for cross-run trend analytics use currents-integration.
xray-integration
Imports CI test results into Xray for Jira - authenticates via the `client_id` + `client_secret` → JWT exchange (Cloud) or PAT / Basic (Server), posts to the format-specific `/api/v2/import/execution/*` endpoint (`/junit` for JUnit XML, `/cucumber` for Cucumber JSON, `/nunit` / `/testng` / `/robot` for the others), and maps automated results to existing Xray Test issues via the `xray-junit-extensions` `@XrayTest(key="...")` annotation. Use when the team uses the Xray Jira app to manage Test, Test Set, and Test Execution issue types and CI must keep those execution issues in sync; for the other Jira TCM app use zephyr-integration (Zephyr Scale), for standalone non-Jira TestRail use testrail-integration, and for hosted cross-run flakiness analytics rather than TCM sync use currents-integration.
zephyr-integration
Syncs automated test results to Zephyr Scale for Jira (formerly TM4J / SmartBear / Adaptavist): picks the product variant (Scale Cloud / Squad / Enterprise), authenticates with a long-lived API token as a Bearer header, opens a Test Cycle per build, posts executions via `POST /testexecutions` (or bulk JUnit via `/automations/executions/junit`), and maps test methods to Zephyr Test Cases via `@TestCaseKey`-style annotations. Use when the team's Jira test management is Zephyr Scale; for the Xray Jira app use xray-integration, for standalone TestRail use testrail-integration, and for over-time flakiness analytics rather than TCM sync use currents-integration.