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test-coverage-improver Skill

AI Agent SkillPythonOpen source

Measure Python SDK coverage or address measured coverage gaps. Use for coverage audits and metric regressions, not routine test additions. Published by openai in openai-agents-python.

Decision snapshot

Is this a fit?

Best for

Testing, Includes SKILL.md, Reusable instructions

Works with

Compatibility not yet detected.

Access

Permission behavior not yet detected.

Setup

Copy skill directory

Project health

4 days ago · MIT license

Considerations

No specific cautions were detected. Review the source and requested permissions before installing.

What is test-coverage-improver Skill?

Measure Python SDK coverage or address measured coverage gaps. Use for coverage audits and metric regressions, not routine test additions. Published by openai in openai-agents-python. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
100/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Testing
  • Testing use cases

Declared skill metadata

  • Source file: .agents/skills/test-coverage-improver/SKILL.md

These fields retain source and confidence evidence from the indexed SKILL.md.

Compatibility and setup

Copy skill directory
  • Install or run with Copy skill directory

When to use test-coverage-improver Skill

  • Use it for testing.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: openai
  • Repository: openai/openai-agents-python
  • Skill file: .agents/skills/test-coverage-improver/SKILL.md

What it does

Measure Python SDK coverage or address measured coverage gaps. Use for coverage audits and metric regressions, not routine test additions.

Skill instructions

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.

Verified compatibility and discovery

Frequently asked questions

What is test-coverage-improver?

test-coverage-improver is a open-source AI agent skill with Copy skill directory. Measure Python SDK coverage or address measured coverage gaps. Use for coverage audits and metric regressions, not routine test additions.

Who is test-coverage-improver best for?

test-coverage-improver is best for reusing agent instructions, scripts, and references, testing workflows.

How do I install test-coverage-improver?

Install or run test-coverage-improver using Copy skill directory. Check test-coverage-improver for the latest setup command.

Is test-coverage-improver actively maintained?

test-coverage-improver may need a closer maintenance check before production use.

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Stars
29,213
Forks
4,666
Last commit
4 days ago
Last verified
Sep 6, 2026
Metadata fetched
Sep 6, 2026
Repository age
1 year
License
MIT

Project health auto-fetched from the source repository.

Maintain this resource?

Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.

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