Agent skill

Test Reporting Analytics

by proffesor-for-testing in proffesor-for-testing/agentic-qe

Advanced test reporting, quality dashboards, predictive analytics, trend analysis, and executive reporting for QE metrics.

MITAuto-check passedData & Analytics

Install Test Reporting Analytics

skills CLI
$ npx skills add proffesor-for-testing/agentic-qe --skill test-reporting-analytics -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install proffesor-for-testing/agentic-qe test-reporting-analytics --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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/test-reporting-analytics .claude/skills/test-reporting-analytics && rm -rf skills-src

Use ~/.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/

Facts

Skill name
test-reporting-analytics
GitHub stars
494
Token cost
~1.4k tokens
SKILL.md length
198 words
Files
4 (incl. scripts)
Skills in repo
111
Repo updated
First seen
Licence
MIT

At a glance

Advanced test reporting, quality dashboards, predictive analytics, trend analysis, and executive reporting for QE metrics.

  • Works in 5 steps: DEFINE audience (dev team vs executives) → CHOOSE key metrics (max 5-7) → SHOW trends (not just snapshots) → …
  • Communicating quality status
  • SKILL.md covers Quick Reference Card, Report Types, Predictive Analytics and Agent Integration, plus 3 more sections
  • Tracking trends

What it does

Test Reporting Analytics is an agent skill from proffesor-for-testing/agentic-qe. Advanced test reporting, quality dashboards, predictive analytics, trend analysis, and executive reporting for QE metrics. Use when communicating quality status, tracking trends, or making data-driven decisions.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts (for example `evals/test-reporting-analytics.yaml`, `schemas/output.json` and `scripts/validate-config.json`).

It sits in Data & Analytics, covering Forecasting and time series and Project management. 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.

When your agent uses it

  • Communicating quality status
  • Tracking trends
  • Making data-driven decisions

Example prompts

  • “/test-reporting-analytics”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. DEFINE audience (dev team vs executives)
  2. CHOOSE key metrics (max 5-7)
  3. SHOW trends (not just snapshots)
  4. HIGHLIGHT actions (what to do about it)
  5. AUTOMATE generation

What it can do on your machine

Read from SKILL.md and the folder at commit 829d030. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    Ships 1 file in scripts/, which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Test Reporting Analytics loads about 1.4k tokens when it runs. Until then it costs about 59 tokens; SKILL.md has 198 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~59
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from proffesor-for-testing/agentic-qe at commit 829d030, republished under its MIT licence (© proffesor-for-testing). 198 words, ~1,402 tokens.

Download SKILL.mdSave it as .claude/skills/test-reporting-analytics/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
test-reporting-analytics
description
Advanced test reporting, quality dashboards, predictive analytics, trend analysis, and executive reporting for QE metrics. Use when communicating quality status, tracking trends, or making data-driven decisions.
category
analytics
priority
high
tokenEstimate
850
agents
qe-quality-analyzer, qe-quality-gate, qe-deployment-readiness
implementation_status
optimized
optimization_version
1
last_optimized
2025-12-03
quick_reference_card
true
tags
reporting, analytics, dashboards, metrics, trends, predictive
trust_tier
3

Test Reporting & Analytics

<default_to_action> When building test reports:

  1. DEFINE audience (dev team vs executives)
  2. CHOOSE key metrics (max 5-7)
  3. SHOW trends (not just snapshots)
  4. HIGHLIGHT actions (what to do about it)
  5. AUTOMATE generation

Dashboard Quick Setup:

+------------------+------------------+------------------+
| Tests Passed     | Code Coverage    | Flaky Tests      |
| 1,247/1,250 ✅   | 82.3% ⬆️ +2.1%  | 1.2% ⬇️ -0.3%   |
+------------------+------------------+------------------+
| Critical Bugs    | Deploy Freq      | MTTR             |
| 0 open ✅        | 12x/day ⬆️       | 2.3h ⬇️          |
+------------------+------------------+------------------+

Key Metrics by Audience:

  • Dev Team: Pass rate, flaky %, execution time, coverage gaps
  • QE Team: Defect detection rate, test velocity, automation ROI
  • Leadership: Escaped defects, deployment frequency, quality cost </default_to_action>

Quick Reference Card

Essential Metrics
CategoryMetricTarget
ExecutionPass Rate>98%
ExecutionFlaky Test %<2%
ExecutionSuite Duration<10 min
CoverageLine Coverage>80%
CoverageBranch Coverage>70%
QualityEscaped Defects<5/release
QualityMTTR<4 hours
EfficiencyAutomation Rate>90%
Trend Indicators
SymbolMeaningAction
⬆️ImprovingContinue current approach
⬇️DecliningInvestigate root cause
➡️StableMaintain or improve
⚠️Threshold breachImmediate attention

Report Types

Real-Time Dashboard
Live quality status for CI/CD
- Build status (green/red)
- Test results (pass/fail counts)
- Coverage delta
- Flaky test alerts
Sprint Summary
markdown
## Sprint 47 Quality Summary

### Metrics
| Metric | Value | Trend |
|--------|-------|-------|
| Tests Added | +47 | ⬆️ |
| Coverage | 82.3% | ⬆️ +2.1% |
| Bugs Found | 12 | ➡️ |
| Escaped | 0 | ✅ |

### Highlights
- ✅ Zero escaped defects
- ⚠️ E2E suite now 45min (target: 30min)

### Actions
1. Optimize slow E2E tests
2. Add coverage for payment module
Executive Report
markdown
## Monthly Quality Report - Oct 2025

### Executive Summary
✅ Production uptime: 99.97% (target: 99.95%)
✅ Deploy frequency: 12x/day (up from 8x)
⚠️ Coverage: 82.3% (target: 85%)

### Business Impact
- Automation saves 120 hrs/month
- Bug cost: $150/bug found vs $5,000 escaped
- Estimated annual savings: $450K

### Recommendations
1. Invest in performance testing tooling
2. Hire senior QE for mobile coverage

Predictive Analytics

typescript
// Predict test failures
const prediction = await Task("Predict Failures", {
  codeChanges: prDiff,
  historicalData: last90Days,
  model: 'gradient-boosting'
}, "qe-quality-analyzer");

// Returns:
// {
//   failureProbability: 0.73,
//   likelyFailingTests: ['payment.test.ts'],
//   suggestedAction: 'Review payment module carefully',
//   confidence: 0.89
// }

// Trend analysis with anomaly detection
const trends = await Task("Analyze Trends", {
  metrics: ['passRate', 'coverage', 'flakyRate'],
  period: '30d',
  detectAnomalies: true
}, "qe-quality-analyzer");

Agent Integration

typescript
// Generate comprehensive quality report
const report = await Task("Generate Quality Report", {
  period: 'sprint',
  audience: 'executive',
  includeROI: true,
  includeTrends: true
}, "qe-quality-analyzer");

// Real-time quality gate check
const gateResult = await Task("Quality Gate Check", {
  metrics: currentMetrics,
  thresholds: qualityPolicy,
  environment: 'production'
}, "qe-quality-gate");

Agent Coordination Hints

Memory Namespace
aqe/reporting/
├── dashboards/*      - Dashboard configurations
├── reports/*         - Generated reports
├── trends/*          - Trend analysis data
└── predictions/*     - Predictive model outputs
Fleet Coordination
typescript
const reportingFleet = await FleetManager.coordinate({
  strategy: 'quality-reporting',
  agents: [
    'qe-quality-analyzer',      // Metrics aggregation
    'qe-quality-gate',          // Threshold validation
    'qe-deployment-readiness'   // Release readiness
  ],
  topology: 'parallel'
});


Remember

Measure to improve. Report to communicate.

Good reports:

  • Answer "so what?" (actionable insights)
  • Show trends (not just snapshots)
  • Match audience needs
  • Automate where possible

Data without action is noise. Action without data is guessing.

© 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

Files

SKILL.md and 3 other files (scripts) in assets/skills/test-reporting-analytics of proffesor-for-testing/agentic-qe.

  • SKILL.md
  • evals/test-reporting-analytics.yaml
  • schemas/output.json
  • scripts/validate-config.json

Open the folder on GitHubat commit 829d030

Compare with similar skills

Test Reporting Analytics 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.

Test Reporting Analytics compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Test Reporting Analytics this skillproffesor-for-testing/agentic-qe494—~1.4kAutomated safety check: PassMIT
Flowfile Research FrontierEdwardvaneechoud/Flowfile370—~6.4kAutomated safety check: PassMIT
Scrum Masterborghei/Claude-Skills874—~2.5kAutomated safety check: PassMIT
Sprint Velocity Analysismohitagw15856/pm-claude-skills1.4k—~3.4kAutomated safety check: PassMIT
Montecarlo Subgroup Predictiondivinevideo/divine-mobile265—~1.5kAutomated safety check: PassMPL-2.0
TimesFM Forecastinggoogle-research/timesfm34k—~4.7kAutomated safety check: PassApache-2.0

Similar skills

  • Flowfile Research Frontier

    Edwardvaneechoud/Flowfile

    The maintainer's three long-horizon research bets for Flowfile (AI-native flow building, visual↔code round-trip, decentralized execution on a centralized catalog) with the verified existing assets…

    370 GitHub stars~6.4k tokensUpdated yesterday
    Data & AnalyticsAuto-check passed
  • Scrum Master

    borghei/Claude-Skills

    Data-driven Scrum Master for sprint health scoring, Monte Carlo velocity forecasting, retrospective analysis, capacity planning, and Tuckman team coaching.

    874 GitHub stars~2.5k tokensUpdated today
    Product & Project ManagementAuto-check passed
  • Sprint Velocity Analysis

    mohitagw15856/pm-claude-skills

    Analyze sprint velocity data and produce an engineering team health report covering delivery trends, capacity utilization, and improvement recommendations.

    1.4k GitHub stars~3.4k tokensUpdated yesterday
    Data & AnalyticsAuto-check passed
  • Montecarlo Subgroup Prediction

    divinevideo/divine-mobile

    Fix Monte Carlo project completion simulations that give identical dates for all sub-groups (milestones, priorities, epics).

    265 GitHub stars~1.5k tokensUpdated today
    Product & Project ManagementAuto-check passed
  • TimesFM Forecasting

    google-research/timesfm

    Forecasts any univariate time series zero-shot with Google's TimesFM model, returning point forecasts and calibrated prediction intervals without training.

    34k GitHub stars~4.7k tokensUpdated 8 days ago
    Data & AnalyticsAuto-check passed
  • Timesfm Forecasting

    zLanqing/codex-claude-academic-skills

    Zero-shot time series forecasting with Google's TimesFM foundation model.

    4.6k GitHub starsUsed in 6 repos~7.5k tokens
    Data & AnalyticsAuto-check: notes

More from proffesor-for-testing/agentic-qe

All 111 skills in this repo
  • Contract Testing

    proffesor-for-testing/agentic-qe

    Consumer-driven contract testing for microservices using Pact, schema validation, API versioning, and backward compatibility testing.

    494 GitHub stars~1.8k tokensUpdated 3 days ago
    Auto-check passed
  • Mutation Testing

    proffesor-for-testing/agentic-qe

    Test quality validation through mutation testing, assessing test suite effectiveness by introducing code mutations and measuring kill rate.

    494 GitHub stars~1.7k tokensUpdated 3 days ago
    Auto-check passed
  • Performance Testing

    proffesor-for-testing/agentic-qe

    Profiles application performance under load using k6, Artillery, or JMeter to measure latency, throughput, and error rates.

    494 GitHub stars~2.4k tokensUpdated 3 days ago
    Auto-check passed
  • Code Review Quality

    proffesor-for-testing/agentic-qe

    Conduct context-driven code reviews focusing on quality, testability, and maintainability.

    494 GitHub starsUsed in 1 repo~1.9k tokens
    Auto-check passed
  • Security Testing

    proffesor-for-testing/agentic-qe

    Scans for security vulnerabilities including XSS, SQL injection, CSRF, and auth flaws using OWASP Top 10 methodology.

    494 GitHub stars~2.7k tokensUpdated 3 days ago
    Auto-check: notes
  • Database Testing

    proffesor-for-testing/agentic-qe

    Database schema validation, data integrity testing, migration testing, transaction isolation, and query performance.

    494 GitHub starsUsed in 1 repo~1.7k tokens
    Auto-check passed

Questions about Test Reporting Analytics

What does Test Reporting Analytics do?

Advanced test reporting, quality dashboards, predictive analytics, trend analysis, and executive reporting for QE metrics. Test Reporting Analytics is an agent skill from proffesor-for-testing/agentic-qe. Advanced test reporting, quality dashboards, predictive analytics, trend analysis, and executive reporting for QE metrics.

When should I use Test Reporting Analytics?

Test Reporting Analytics fits situations like: communicating quality status; tracking trends; making data-driven decisions.

How do I install Test Reporting Analytics in Claude Code?

Run `npx skills add proffesor-for-testing/agentic-qe --skill test-reporting-analytics -a claude-code`. Or copy the skill folder (assets/skills/test-reporting-analytics in proffesor-for-testing/agentic-qe) into .claude/skills/test-reporting-analytics in your project. Claude Code loads it when a task matches its description.

How do I install Test Reporting Analytics in Codex?

Run `npx skills add proffesor-for-testing/agentic-qe --skill test-reporting-analytics -a codex`. Or copy the skill folder (assets/skills/test-reporting-analytics in proffesor-for-testing/agentic-qe) into .agents/skills/test-reporting-analytics in your project. Codex loads it when a task matches its description.

Can I use Test Reporting Analytics in Cursor, Gemini CLI or GitHub Copilot?

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 test-reporting-analytics -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/test-reporting-analytics, .gemini/skills/test-reporting-analytics, .github/skills/test-reporting-analytics and .opencode/skills/test-reporting-analytics in your project.

What does Test Reporting Analytics need to run?

SKILL.md names no scripts, command-line tools or credentials: Test Reporting Analytics is instructions for the agent only.

Does Test Reporting Analytics access the network?

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.

Is Test Reporting Analytics safe to install?

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.

What licence does Test Reporting Analytics use?

Test Reporting Analytics is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Test Reporting Analytics use?

About 1.4k tokens (SKILL.md is roughly 5.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Test Reporting Analytics?

Skills that share tags, products or a category with Test Reporting Analytics: Flowfile Research Frontier (Edwardvaneechoud/Flowfile, 370 stars), Scrum Master (borghei/Claude-Skills, 874 stars), Sprint Velocity Analysis (mohitagw15856/pm-claude-skills, 1.4k stars) and Montecarlo Subgroup Prediction (divinevideo/divine-mobile, 265 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Test Reporting Analytics?

proffesor-for-testing (a GitHub user) maintains it in proffesor-for-testing/agentic-qe, which has 494 GitHub stars. The repository holds 111 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.