--- name: test-coverage-improver-effaadc82be4 description: Measure Python SDK coverage or address measured coverage gaps. Use for coverage audits and metric regressions, not routine test additions. --- # Test Coverage Improver Use current coverage evidence to identify missing caller-visible behavior tests. Select this workflow for coverage measurement, coverage-metric regressions, or finding gaps from coverage artifacts. When the user already specifies the behaviors to test, use the ordinary implementation/review workflow without coverage measurement unless measurement is also requested. Adding tests alone does not trigger this skill or its final `make coverage` step. ## Scope and authorization For assessment or proposal-only requests, report gaps and suggested tests without editing. When the user requests test improvements or has approved a plan, implement the scoped tests and complete review and verification without asking again. Ask only when a new contract decision, expanded scope, or additional authority is needed. Coverage work never authorizes live API calls or broader sandbox access. ## Workflow 1. Inspect current `.coverage`, `coverage.xml`, and any recorded command/environment evidence. Reuse them only when they represent the relevant source and test state. If missing or stale, run `make coverage` under the repository's verification sandbox and credential policy; this initial measurement precedes implementation review. Respect host-capacity guidance before broad measurement. 2. Identify uncovered behavior within the requested scope. Prioritize public behavior and meaningful error, cancellation, and lifecycle paths over percentage-only targets. Use `uv run coverage report -m` or `coverage.xml` to locate gaps. 3. For an assessment, report evidence and proposed scenarios. For authorized implementation, choose tests with independent expected results at the highest controllable caller boundary. Do not add tests that merely reproduce helper logic or enumerate unsupported permutations. 4. Implement tests, run affected checks, and complete `$implementation-final-review`. Keep iterative verification focused; do not repeatedly run full coverage while review is incomplete. 5. After clean review, run `make coverage` for the final measurement and `$code-change-verification` for the required SDK gates. These have different purposes; reuse an already valid final measurement rather than repeating it. Report coverage changes, verified behaviors, and material gaps that remain. ## Reporting State the scope and age of coverage evidence, the behavior each new test protects, validation results, and unresolved gaps. Keep comments and code in English. Do not treat coverage percentages alone as proof of correctness. --- Source attribution: openai Original project: https://github.com/openai/openai-agents-python/blob/cd26bbbc52847845fde73b9952b51e62e2bcbdc0/.agents/skills/test-coverage-improver/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License Copyright (c) 2025 OpenAI Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Mega AI Hub resource metadata Creator / publisher: openai Original project: https://github.com/openai/openai-agents-python/blob/cd26bbbc52847845fde73b9952b51e62e2bcbdc0/.agents/skills/test-coverage-improver/SKILL.md Attribution basis: Source repository record Fields of work: Development & Engineering Roles: Backend Developer, ML / AI Engineer, QA / Test Engineer Specialties: Backend, Testing Tools: Coverage, Make Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: 328f7101217e481a1763173b277b5780457f8d64b6f83b03fc2cb0775981ff7b