QA Metrics
petrkindlmann/qa-skills
Define, track, and act on QA metrics: test coverage percentage, flakiness rate, defect escape rate, MTTR, test execution time trends, automation ROI, quality gates, and SLAs for test suites.
Tracks quality metrics including defect density, test effectiveness ratio, DORA metrics, and mean time to detection.
$ npx skills add proffesor-for-testing/agentic-qe --skill quality-metrics -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install proffesor-for-testing/agentic-qe quality-metrics --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/proffesor-for-testing/agentic-qe.git skills-src && mkdir -p .claude/skills && cp -r skills-src/assets/skills/quality-metrics .claude/skills/quality-metrics && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "quality-metrics" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/assets/skills/quality-metrics into .claude/skills/quality-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quality-metrics", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/proffesor-for-testing/agentic-qe/tree/main/assets/skills/quality-metricsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add proffesor-for-testing/agentic-qe --skill quality-metrics -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install proffesor-for-testing/agentic-qe quality-metrics --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/proffesor-for-testing/agentic-qe.git skills-src && mkdir -p .agents/skills && cp -r skills-src/assets/skills/quality-metrics .agents/skills/quality-metrics && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "quality-metrics" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/assets/skills/quality-metrics into .agents/skills/quality-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quality-metrics", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add proffesor-for-testing/agentic-qe --skill quality-metrics -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install proffesor-for-testing/agentic-qe quality-metrics --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/proffesor-for-testing/agentic-qe.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/assets/skills/quality-metrics .cursor/skills/quality-metrics && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "quality-metrics" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/assets/skills/quality-metrics into .cursor/skills/quality-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quality-metrics", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/proffesor-for-testing/agentic-qe.git --path assets/skills/quality-metrics--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add proffesor-for-testing/agentic-qe --skill quality-metrics -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install proffesor-for-testing/agentic-qe quality-metrics --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/proffesor-for-testing/agentic-qe.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/assets/skills/quality-metrics .gemini/skills/quality-metrics && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "quality-metrics" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/assets/skills/quality-metrics into .gemini/skills/quality-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quality-metrics", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install proffesor-for-testing/agentic-qe quality-metricsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add proffesor-for-testing/agentic-qe --skill quality-metrics -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/proffesor-for-testing/agentic-qe.git skills-src && mkdir -p .github/skills && cp -r skills-src/assets/skills/quality-metrics .github/skills/quality-metrics && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "quality-metrics" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/assets/skills/quality-metrics into .github/skills/quality-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quality-metrics", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add proffesor-for-testing/agentic-qe --skill quality-metrics -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install proffesor-for-testing/agentic-qe quality-metrics --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/proffesor-for-testing/agentic-qe.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/assets/skills/quality-metrics .opencode/skills/quality-metrics && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "quality-metrics" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/assets/skills/quality-metrics into .opencode/skills/quality-metrics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quality-metrics", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
quality-metricsTracks quality metrics including defect density, test effectiveness ratio, DORA metrics, and mean time to detection.
Quality Metrics is an agent skill from proffesor-for-testing/agentic-qe. Tracks quality metrics including defect density, test effectiveness ratio, DORA metrics, and mean time to detection. Use when establishing quality dashboards, defining KPIs, evaluating test suite effectiveness, or reporting quality trends to stakeholders.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts (for example `evals/quality-metrics.yaml`, `schemas/output.json` and `scripts/validate-config.json`).
It sits in Testing & QA, covering Test generation and OKRs and executive reporting. The repository describes itself as: Agentic QE Fleet is an open-source AI-powered QA/QE platform designed for use with Coding Agents (works best with Claude Code) featuring specialized agents and skills to support… The licence is MIT.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 829d030. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/, which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Quality Metrics loads about 1.1k tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 149 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from proffesor-for-testing/agentic-qe at commit 829d030, republished under its MIT licence (© proffesor-for-testing). 149 words, ~1,133 tokens.
.claude/skills/quality-metrics/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.<default_to_action> When measuring quality or building dashboards:
| Metric | Blocking Threshold | Warning |
|---|---|---|
| Test pass rate | 100% | - |
| Critical coverage | > 80% | > 70% |
| Security critical | 0 | - |
| Performance p95 | < 200ms | < 500ms |
| Flaky tests | < 2% | < 5% |
// Agent generates quality dashboard
await Task("Generate Dashboard", {
metrics: {
delivery: ['deployment-frequency', 'lead-time', 'change-failure-rate'],
quality: ['bug-escape-rate', 'test-effectiveness', 'defect-density'],
stability: ['mttd', 'mttr', 'availability'],
process: ['code-review-time', 'flaky-test-rate', 'coverage-trend']
},
visualization: 'grafana',
alerts: {
critical: { bug_escape_rate: '>20%', mttr: '>24h' },
warning: { coverage: '<70%', flaky_rate: '>5%' }
}
}, "qe-quality-analyzer");{
"qualityGates": {
"commit": {
"coverage": { "min": 80, "blocking": true },
"lint": { "errors": 0, "blocking": true }
},
"pr": {
"tests": { "pass": "100%", "blocking": true },
"security": { "critical": 0, "blocking": true },
"coverage_delta": { "min": 0, "blocking": false }
},
"release": {
"e2e": { "pass": "100%", "blocking": true },
"performance_p95": { "max_ms": 200, "blocking": true },
"bug_escape_rate": { "max": "10%", "blocking": false }
}
}
}// Calculate quality trends
await Task("Quality Trend Analysis", {
timeframe: '90d',
metrics: ['bug-escape-rate', 'mttd', 'test-effectiveness'],
compare: 'previous-90d',
predictNext: '30d'
}, "qe-quality-analyzer");
// Evaluate quality gate
await Task("Quality Gate Evaluation", {
buildId: 'build-123',
environment: 'staging',
metrics: currentMetrics,
policy: qualityPolicy
}, "qe-quality-gate");aqe/quality-metrics/
├── dashboards/* - Dashboard configurations
├── trends/* - Historical metric data
├── gates/* - Gate evaluation results
└── alerts/* - Triggered alertsconst metricsFleet = await FleetManager.coordinate({
strategy: 'quality-metrics',
agents: [
'qe-quality-analyzer', // Trend analysis
'qe-test-executor', // Test metrics
'qe-coverage-analyzer', // Coverage data
'qe-production-intelligence', // Production metrics
'qe-quality-gate' // Gate decisions
],
topology: 'mesh'
});With Agents: Agents track metrics automatically, analyze trends, trigger alerts, and make gate decisions. Use agents to maintain continuous quality visibility.
© proffesor-for-testing, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files (scripts) in assets/skills/quality-metrics of proffesor-for-testing/agentic-qe.
Open the folder on GitHubat commit 829d030
Quality Metrics next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Quality Metrics this skillproffesor-for-testing/agentic-qe | 495 | — | ~1.1k | Automated safety check: Pass | MIT | |
| QA Metricspetrkindlmann/qa-skills | 168 | — | ~5.3k | Automated safety check: Pass | MIT | |
| Emcaklofas/kicad-happy | 1.4k | 1 repos | ~2.8k | Automated safety check: Pass | MIT | |
| Swig Testswig/swig | 6.3k | — | ~2.3k | Automated safety check: Pass | Custom licence | |
| Generate Test Cases342164796/generate-test-cases | 119 | 1 repos | ~2.9k | Automated safety check: Pass | None | |
| Wioworkersio/skills | 200 | — | ~5.8k | Automated safety check: Pass | MIT |
petrkindlmann/qa-skills
Define, track, and act on QA metrics: test coverage percentage, flakiness rate, defect escape rate, MTTR, test execution time trends, automation ROI, quality gates, and SLAs for test suites.
aklofas/kicad-happy
EMC pre-compliance risk analysis for KiCad PCB designs — 18 check categories, 44 rule IDs covering ground planes, decoupling, I/O filtering, switching harmonics, clock routing, differential pair…
swig/swig
Run SWIG test suite for specific languages. An agent skill from swig/swig.
342164796/generate-test-cases
自主学习型测试文档生成器。从需求文档(Markdown)生成测试用例 XMind 文件,支持持久化记忆和持续学习。当用户提到"生成测试用例"、"根据需求生成测试"时触发。
workersio/skills
Testing workflow skill for finding high-value test candidates, writing focused tests, generating realistic workloads, reviewing test value, and diagnosing test-suite health.
kenryu42/cc-safety-net
Launch and drive the real cc-safety-net CLI — the hook decision path, explain, status/doctor, logs, and the local policy GUI — against an isolated home, capturing evidence.
proffesor-for-testing/agentic-qe
Consumer-driven contract testing for microservices using Pact, schema validation, API versioning, and backward compatibility testing.
proffesor-for-testing/agentic-qe
Test quality validation through mutation testing, assessing test suite effectiveness by introducing code mutations and measuring kill rate.
proffesor-for-testing/agentic-qe
Profiles application performance under load using k6, Artillery, or JMeter to measure latency, throughput, and error rates.
proffesor-for-testing/agentic-qe
Conduct context-driven code reviews focusing on quality, testability, and maintainability.
proffesor-for-testing/agentic-qe
Scans for security vulnerabilities including XSS, SQL injection, CSRF, and auth flaws using OWASP Top 10 methodology.
proffesor-for-testing/agentic-qe
Database schema validation, data integrity testing, migration testing, transaction isolation, and query performance.
Categories
Tracks quality metrics including defect density, test effectiveness ratio, DORA metrics, and mean time to detection. Quality Metrics is an agent skill from proffesor-for-testing/agentic-qe. Tracks quality metrics including defect density, test effectiveness ratio, DORA metrics, and mean time to detection.
Quality Metrics fits situations like: establishing quality dashboards; evaluating test suite effectiveness; reporting quality trends to stakeholders.
Run `npx skills add proffesor-for-testing/agentic-qe --skill quality-metrics -a claude-code`. Or copy the skill folder (assets/skills/quality-metrics in proffesor-for-testing/agentic-qe) into .claude/skills/quality-metrics in your project. Claude Code loads it when a task matches its description.
Run `npx skills add proffesor-for-testing/agentic-qe --skill quality-metrics -a codex`. Or copy the skill folder (assets/skills/quality-metrics in proffesor-for-testing/agentic-qe) into .agents/skills/quality-metrics in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add proffesor-for-testing/agentic-qe --skill quality-metrics -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/quality-metrics, .gemini/skills/quality-metrics, .github/skills/quality-metrics and .opencode/skills/quality-metrics in your project.
SKILL.md names no scripts, command-line tools or credentials: Quality Metrics is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Quality Metrics is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.1k tokens (SKILL.md is roughly 4.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Quality Metrics: QA Metrics (petrkindlmann/qa-skills, 168 stars), Emc (aklofas/kicad-happy, 1.4k stars), Swig Test (swig/swig, 6.3k stars) and Generate Test Cases (342164796/generate-test-cases, 119 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
proffesor-for-testing (a GitHub user) maintains it in proffesor-for-testing/agentic-qe, which has 495 GitHub stars. The repository holds 93 skills in this directory. The repository was last updated on October 4, 2026.
Source: proffesor-for-testing/agentic-qe on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.