Skip to content
All Skills

Generating Test Reports

Generate structured test reports with pass/fail rollups, coverage summaries, and test artifacts. Use when the user is asking for test-result packaging or delivery, not for root-cause debugging or feature implementation.

Software Engineering|v1|Updated 7/14/2026|GitHub source
MCP get_skill({ skillId: "test-report-generator-88408845" })

Use this skill with your agent

Create a free account and connect via MCP

Get Started Free
# Test Report Generator

## Purpose

Use this skill when the next deliverable is a readable test report rather than another round of debugging.

## When to Use

Use this skill when:
- Summarizing pass/fail status, flaky tests, or coverage output for others to read
- Turning raw `pytest`, JUnit, or coverage artifacts into a concise report
- Producing release, QA, or review-facing test documentation

## Not For / Boundaries

- Root-cause debugging of a failure: use `systematic-debugging`
- Code review of the underlying implementation: use `code-reviewer`
- Implementing a new test suite from scratch: use `tdd-guide`

## Typical Outputs

- Test execution summary with totals and failure clusters
- Coverage snapshot and quality-gate status
- Follow-up action list for the most important failures

## Related Skills

- `systematic-debugging` before report packaging if failures are still unexplained
- `verification-before-completion` when the report is part of a completion gate
#broad-capability#creative#testing

Related Skills

More skills in Software Engineering

Accessibility Standards

Comprehensive web accessibility standards based on WCAG 2.2 AA, with 38+ anti-patterns, legal enforcement context (EAA, ADA Title II), WAI-ARIA patterns, and framework-specific fixes for modern web frameworks and libraries.

#github-copilot#accessibilityMIT

Accord

Authoring unified specification packages across Business/Development/Design teams via staged elaboration (L0 Vision → L1 Requirements → L2 Team Detail → L3 Acceptance Criteria). No code. Use when authoring cross-team specs, building L0-L3 packages, or aligning Biz/Dev/Design on a single source of truth.

#broad-capability#developmentMIT

Acquire Codebase Knowledge

Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.

#github-copilot#documentationMIT

Acreadiness Assess

Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc readiness` and hands off rendering to the @ai-readiness-reporter custom agent. Supports policies (--policy) for org-specific scoring. Use when asked to assess, audit, or score the AI readiness of a repo.

#github-copilot#planningMIT

Acreadiness Generate Instructions

Generate tailored AI agent instruction files via AgentRC instructions command. Produces .github/copilot-instructions.md (default, recommended for Copilot in VS Code) plus optional per-area .instructions.md files with applyTo globs for monorepos. Use after running /acreadiness-assess to close gaps in the AI Tooling pillar.

#github-copilot#skillMIT

Acreadiness Policy

Help the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant checks, overriding impact/level, setting pass-rate thresholds, or chaining org baselines with team overrides. Use when the user asks about strict mode, AI-only scoring, custom weights, CI gating, or wants org-wide standardisation.

#github-copilot#planningMIT