Sonarclaude
agentculture/culture
Query SonarCloud API for code quality data. An agent skill from agentculture/culture.
Evaluates code quality through complexity analysis, lint results, code smell detection, and test health metrics.
$ npx skills add proffesor-for-testing/agentic-qe --skill qe-quality-assessment -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install proffesor-for-testing/agentic-qe qe-quality-assessment --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/qe-quality-assessment .claude/skills/qe-quality-assessment && 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 "qe-quality-assessment" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/assets/skills/qe-quality-assessment into .claude/skills/qe-quality-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qe-quality-assessment", 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/qe-quality-assessmentType 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 qe-quality-assessment -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install proffesor-for-testing/agentic-qe qe-quality-assessment --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/qe-quality-assessment .agents/skills/qe-quality-assessment && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "qe-quality-assessment" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/assets/skills/qe-quality-assessment into .agents/skills/qe-quality-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qe-quality-assessment", 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 qe-quality-assessment -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install proffesor-for-testing/agentic-qe qe-quality-assessment --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/qe-quality-assessment .cursor/skills/qe-quality-assessment && 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 "qe-quality-assessment" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/assets/skills/qe-quality-assessment into .cursor/skills/qe-quality-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qe-quality-assessment", 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/qe-quality-assessment--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 qe-quality-assessment -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install proffesor-for-testing/agentic-qe qe-quality-assessment --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/qe-quality-assessment .gemini/skills/qe-quality-assessment && 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 "qe-quality-assessment" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/assets/skills/qe-quality-assessment into .gemini/skills/qe-quality-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qe-quality-assessment", 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 qe-quality-assessmentInstalls 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 qe-quality-assessment -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/qe-quality-assessment .github/skills/qe-quality-assessment && 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 "qe-quality-assessment" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/assets/skills/qe-quality-assessment into .github/skills/qe-quality-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qe-quality-assessment", 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 qe-quality-assessment -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 qe-quality-assessment --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/qe-quality-assessment .opencode/skills/qe-quality-assessment && 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 "qe-quality-assessment" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/assets/skills/qe-quality-assessment into .opencode/skills/qe-quality-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qe-quality-assessment", 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.
qe-quality-assessmentEvaluates code quality through complexity analysis, lint results, code smell detection, and test health metrics.
Qe Quality Assessment is an agent skill from proffesor-for-testing/agentic-qe. Evaluates code quality through complexity analysis, lint results, code smell detection, and test health metrics. Use when assessing deployment readiness, configuring quality gates, scoring a codebase for release, or generating quality reports with pass/fail verdicts.
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts (for example `evals/qe-quality-assessment.yaml`, `run-history.json` and `schemas/output.json`).
It sits in Development, covering Quality gates, Code quality and Refactoring. 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.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 1363bc7. 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.
Shell commands in SKILL.md call:
nodeFrom 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.
Qe Quality Assessment loads about 1.9k tokens when it runs. Until then it costs about 72 tokens; SKILL.md has 290 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 1363bc7, republished under its MIT licence (© proffesor-for-testing). 290 words, ~1,911 tokens.
.claude/skills/qe-quality-assessment/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.Guide the use of v3's quality assessment capabilities including automated quality gates, metrics aggregation, trend analysis, and deployment readiness evaluation.
# Run quality assessment
aqe quality assess --scope src/ --gates all
# Check deployment readiness
aqe quality deploy-ready --environment production
# Generate quality report
aqe quality report --format dashboard --period 30d
# Compare quality between releases
aqe quality compare --from v1.0 --to v2.0// Comprehensive quality assessment
Task("Assess code quality", `
Evaluate quality for src/:
- Code complexity (cyclomatic, cognitive)
- Test coverage and mutation score
- Security vulnerabilities
- Code smells and technical debt
- Documentation coverage
Generate quality score and recommendations.
`, "qe-quality-analyzer")
// Deployment readiness check
Task("Check deployment readiness", `
Evaluate if release v2.1.0 is ready for production:
- All tests passing
- Coverage thresholds met
- No critical vulnerabilities
- Performance benchmarks passed
- Documentation updated
Provide go/no-go recommendation.
`, "qe-deployment-advisor")await qualityAnalyzer.assessCode({
scope: 'src/**/*.ts',
metrics: {
complexity: {
cyclomatic: { max: 15, warn: 10 },
cognitive: { max: 20, warn: 15 }
},
maintainability: {
index: { min: 65 },
duplication: { max: 3 } // percent
},
documentation: {
publicAPIs: { min: 80 },
complexity: { min: 70 }
}
}
});await qualityGate.evaluate({
gates: {
coverage: { min: 80, blocking: true },
// Fault detection — coverage is necessary but NOT sufficient (ADR-113).
// A suite can hit 90% coverage and catch no bugs; mutation score does not lie.
mutationScore: { min: 0.6, blocking: false }, // warn-by-default; opt-in blocking
regenerability: { min: 0.5, blocking: false }, // Deletion Test: durable oracle backing per module
complexity: { max: 15, blocking: false },
vulnerabilities: { critical: 0, high: 0, blocking: true },
duplications: { max: 3, blocking: false },
techDebt: { maxRatio: 5, blocking: false }
},
action: {
onPass: 'proceed',
onFail: 'block-merge',
onWarn: 'notify'
}
});Coverage measures lines executed; mutation score measures whether the tests would notice a bug, and regenerability answers the Deletion Test — "if this module were deleted and regenerated, would a wrong rebuild be caught?" Regenerability = mutation score discounted by the durability tier backing the module (durable > live > ephemeral
none); ephemeral-only tests score low because they don't survive a reimplementation.
import { evaluateRegenerabilityGate } from '../../../src/feedback/regenerability-gate.js';
const verdict = evaluateRegenerabilityGate(moduleProfiles, {
mutationScoreMin: 0.6,
regenerabilityMin: 0.5,
mode: 'warn', // 'block' to fail CI; warn-by-default so adoption never breaks pipelines
});
// verdict.passed (thresholds met) · verdict.blocking (should fail CI) · verdict.failures[]Surface it next to coverage in reports: Coverage 88% ✅ / Mutation 41% ⚠️ / Regenerability: ephemeral-only ⚠️.
await deploymentAdvisor.assess({
release: 'v2.1.0',
criteria: {
testing: {
unitTests: 'all-pass',
integrationTests: 'all-pass',
e2eTests: 'critical-pass',
performanceTests: 'baseline-met'
},
quality: {
coverage: 80,
noNewVulnerabilities: true,
noRegressions: true
},
documentation: {
changelog: true,
apiDocs: true,
releaseNotes: true
}
}
});quality_score:
components:
test_coverage:
weight: 0.25
metrics: [statement, branch, function]
code_quality:
weight: 0.20
metrics: [complexity, maintainability, duplication]
security:
weight: 0.25
metrics: [vulnerabilities, dependencies]
reliability:
weight: 0.20
metrics: [bug_density, flaky_tests, error_rate]
documentation:
weight: 0.10
metrics: [api_coverage, readme, changelog]
scoring:
A: 90-100
B: 80-89
C: 70-79
D: 60-69
F: 0-59interface QualityDashboard {
overallScore: number; // 0-100
grade: 'A' | 'B' | 'C' | 'D' | 'F';
dimensions: {
name: string;
score: number;
trend: 'improving' | 'stable' | 'declining';
issues: Issue[];
}[];
gates: {
name: string;
status: 'pass' | 'fail' | 'warn';
value: number;
threshold: number;
}[];
trends: {
period: string;
scores: number[];
alerts: Alert[];
};
recommendations: Recommendation[];
}# Quality gate in pipeline
quality_check:
stage: verify
script:
- aqe quality assess --gates all --output report.json
rules:
- if: $CI_PIPELINE_SOURCE == "merge_request_event"
artifacts:
reports:
quality: report.json
allow_failure:
exit_codes:
- 1 # Warnings onlyAfter each quality assessment, append results to run-history.json in this skill directory:
node -e "
const fs = require('fs');
const h = JSON.parse(fs.readFileSync('.claude/skills/qe-quality-assessment/run-history.json'));
h.runs.push({date: new Date().toISOString().split('T')[0], gate_result: 'PASS_OR_FAIL', failed_checks: []});
fs.writeFileSync('.claude/skills/qe-quality-assessment/run-history.json', JSON.stringify(h, null, 2));
"Read run-history.json before each run — alert if quality gate failed 3 of last 5 runs.
/qe-coverage-analysis and /mutation-testing first/test-failure-investigator to diagnose failures/code-review-quality for comprehensive reviewaqe health to diagnose, or aqe init to re-initializePrimary Agents: qe-quality-analyzer, qe-deployment-advisor, qe-metrics-collector Coordinator: qe-quality-coordinator Related Skills: qe-coverage-analysis, security-testing
© 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 4 other files (scripts) in assets/skills/qe-quality-assessment of proffesor-for-testing/agentic-qe.
Open the folder on GitHubat commit 1363bc7
Qe Quality Assessment 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 |
|---|---|---|---|---|---|---|
| Qe Quality Assessment this skillproffesor-for-testing/agentic-qe | 495 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Sonarclaudeagentculture/culture | 114 | — | ~764 | Automated safety check: Pass | Apache-2.0 | |
| Code Quality Gate Checkertelagod/code-abyss | 244 | — | ~609 | Automated safety check: Notes | MIT | |
| Constraint-Driven Developmentaddyosmani/agent-skills | 104k | 2 repos | ~5.2k | Automated safety check: Pass | MIT | |
| AI Development Guideshinpr/claude-code-workflows | 694 | — | ~3.9k | Automated safety check: Pass | MIT | |
| Sonarcloud Reviewlucasvieirasilva/nx-plugins | 153 | — | ~2.7k | Automated safety check: Notes | MIT |
agentculture/culture
Query SonarCloud API for code quality data. An agent skill from agentculture/culture.
telagod/code-abyss
Checks cyclomatic complexity, function and file length, parameter count, nesting depth and naming conventions against fixed thresholds, with a bundled Node.js script and hotspot integration.
addyosmani/agent-skills
Records a project's quality bar in CONSTRAINTS.md and watches diffs for signs an agent quietly weakened it, such as suppressions, skipped tests or lowered thresholds.
shinpr/claude-code-workflows
Applies language-agnostic and backend technical decision criteria, anti-pattern detection, debugging, and quality gates.
lucasvieirasilva/nx-plugins
Fetches and triages SonarCloud findings (issues, security hotspots, quality gate) for the current pull request or branch of this repository via the SonarCloud Web API, summarizes them in a markdown…
tabler/tabler
Proves that a refactor leaves every rendered preview page unchanged by comparing fresh HTML output against a baseline captured beforehand.
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
Evaluates code quality through complexity analysis, lint results, code smell detection, and test health metrics. Qe Quality Assessment is an agent skill from proffesor-for-testing/agentic-qe. Evaluates code quality through complexity analysis, lint results, code smell detection, and test health metrics.
Qe Quality Assessment fits situations like: assessing deployment readiness; configuring quality gates; scoring a codebase for release; generating quality reports with pass/fail verdicts.
Run `npx skills add proffesor-for-testing/agentic-qe --skill qe-quality-assessment -a claude-code`. Or copy the skill folder (assets/skills/qe-quality-assessment in proffesor-for-testing/agentic-qe) into .claude/skills/qe-quality-assessment in your project. Claude Code loads it when a task matches its description.
Run `npx skills add proffesor-for-testing/agentic-qe --skill qe-quality-assessment -a codex`. Or copy the skill folder (assets/skills/qe-quality-assessment in proffesor-for-testing/agentic-qe) into .agents/skills/qe-quality-assessment 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 qe-quality-assessment -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/qe-quality-assessment, .gemini/skills/qe-quality-assessment, .github/skills/qe-quality-assessment and .opencode/skills/qe-quality-assessment in your project.
Going by SKILL.md and its folder, Qe Quality Assessment needs the command-line tools its instructions call (node).
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.
Qe Quality Assessment is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.9k tokens (SKILL.md is roughly 7.6k 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 Qe Quality Assessment: Sonarclaude (agentculture/culture, 114 stars), Code Quality Gate Checker (telagod/code-abyss, 244 stars), Constraint-Driven Development (addyosmani/agent-skills, 104k stars) and AI Development Guide (shinpr/claude-code-workflows, 694 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 9, 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.