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Increase test coverage to 90% on a target zone with iterative writing and refactoring
Passed 12 of 19 test cases with the skill, and 8 of 19 without it.
and 5 more in the full report
8 fixed7 passed either way5 still failing3 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
When starting a coverage improvement task for Jira ticket `https://ledgerhq.atlassian.net/browse/LIVE-5678`, what tool is used first to retrieve ticket details and extract affected files?
| Checked | Without skill | With skill |
|---|---|---|
| Uses Atlassian MCP to fetch the Jira ticket. | Missed | Passed |
The instructions your model reads when the skill loads.
Increase test coverage to 90% on a target zone with iterative writing and refactoring.
$TARGET_ZONE
Directory path or Jira ticket URL for the zone to cover (e.g.,
src/mvvm/features/Accounts/orhttps://ledgerhq.atlassian.net/browse/LIVE-1234)
Follow all conventions from the testing skill (.agents/skills/testing/SKILL.md).
Delegate test execution to the test-runner subagent throughout.
$TARGET_ZONE is a Jira URL, fetch the ticket via Atlassian MCP and extract affected files.code-explorer subagent to analyze the zone: trace execution paths, map dependencies, and identify branching logic worth testing.pnpm <mobile|desktop> test:jest --coverage \
--collectCoverageFrom='<zone-glob>' \
--coverageReporters=text-summary
code-explorer analysis, build the list of files to test. Skip type definitions, barrel re-exports, and thin wrappers with no branching.Order: pure utils -> hooks -> viewModels -> components with side effects.
For each file:
test cases passed, vs 8 / 19 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.