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Agent skill

Shift Right Testing

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

Testing in production with feature flags, canary deployments, synthetic monitoring, and chaos engineering.

MITAuto-check passedDevOps & Cloud

Install Shift Right Testing

skills CLI
$ npx skills add proffesor-for-testing/agentic-qe --skill shift-right-testing -a claude-code

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

GitHub CLI
$ gh skill install proffesor-for-testing/agentic-qe shift-right-testing --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/shift-right-testing .claude/skills/shift-right-testing && 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
shift-right-testing
GitHub stars
494
Token cost
~1.6k tokens
SKILL.md length
304 words
Files
4 (incl. scripts)
Skills in repo
111
Repo updated
First seen
Licence
MIT

At a glance

Testing in production with feature flags, canary deployments, synthetic monitoring, and chaos engineering.

  • Works in 5 steps: IMPLEMENT feature flags for progressive… → DEPLOY with canary releases (compare… → MONITOR with synthetic tests (proactive)… → …
  • Implementing production observability
  • SKILL.md covers Quick Reference Card, Feature Flags, Canary Deployment and Synthetic Monitoring, plus 5 more sections
  • Progressive delivery

What it does

Shift Right Testing is an agent skill from proffesor-for-testing/agentic-qe. Testing in production with feature flags, canary deployments, synthetic monitoring, and chaos engineering. Use when implementing production observability or progressive delivery.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts (for example `evals/shift-right-testing.yaml`, `schemas/output.json` and `scripts/validate-config.json`).

It sits in DevOps & Cloud, covering Deployment and Chaos engineering. 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

  • Implementing production observability
  • Progressive delivery

Example prompts

  • “/shift-right-testing”

Workflow steps

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

  1. IMPLEMENT feature flags for progressive rollout (1% → 10% → 50% → 100%)
  2. DEPLOY with canary releases (compare metrics before full rollout)
  3. MONITOR with synthetic tests (proactive) + RUM (reactive)
  4. INJECT failures with chaos engineering (build resilience)
  5. ANALYZE production data to improve pre-production testing

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

Shift Right Testing loads about 1.6k tokens when it runs. Until then it costs about 50 tokens; SKILL.md has 304 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~50
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

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). 304 words, ~1,641 tokens.

Download SKILL.mdSave it as .claude/skills/shift-right-testing/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
shift-right-testing
description
Testing in production with feature flags, canary deployments, synthetic monitoring, and chaos engineering. Use when implementing production observability or progressive delivery.
category
testing-methodologies
priority
high
tokenEstimate
1000
agents
qe-production-intelligence, qe-chaos-engineer, qe-performance-tester, qe-quality-analyzer
implementation_status
optimized
optimization_version
1
last_optimized
2025-12-02
quick_reference_card
true
tags
shift-right, production-testing, canary, feature-flags, chaos-engineering, monitoring
trust_tier
3

Shift-Right Testing

<default_to_action> When testing in production or implementing progressive delivery:

  1. IMPLEMENT feature flags for progressive rollout (1% → 10% → 50% → 100%)
  2. DEPLOY with canary releases (compare metrics before full rollout)
  3. MONITOR with synthetic tests (proactive) + RUM (reactive)
  4. INJECT failures with chaos engineering (build resilience)
  5. ANALYZE production data to improve pre-production testing

Quick Shift-Right Techniques:

  • Feature flags → Control who sees what, instant rollback
  • Canary deployment → 5% traffic, compare error rates
  • Synthetic monitoring → Simulate users 24/7, catch issues before users
  • Chaos engineering → Netflix-style failure injection
  • RUM (Real User Monitoring) → Actual user experience data

Critical Success Factors:

  • Production is the ultimate test environment
  • Ship fast with safety nets, not slow with certainty
  • Use production data to improve shift-left testing </default_to_action>

Quick Reference Card

When to Use
  • Progressive feature rollouts
  • Production reliability validation
  • Performance monitoring at scale
  • Learning from real user behavior
Shift-Right Techniques
TechniquePurposeWhen
Feature FlagsControlled rolloutEvery feature
CanaryCompare new vs oldEvery deployment
Synthetic MonitoringProactive detection24/7
RUMReal user metricsAlways on
Chaos EngineeringResilience validationRegularly
A/B TestingUser behavior validationFeature decisions
Progressive Rollout Pattern
1% → 10% → 25% → 50% → 100%
↓      ↓      ↓      ↓
Check  Check  Check  Monitor
Key Metrics to Monitor
MetricSLO TargetAlert Threshold
Error rate< 0.1%> 1%
p95 latency< 200ms> 500ms
Availability99.9%< 99.5%
Apdex> 0.95< 0.8

Feature Flags

javascript
// Progressive rollout with LaunchDarkly/Unleash pattern
const newCheckout = featureFlags.isEnabled('new-checkout', {
  userId: user.id,
  percentage: 10,  // 10% of users
  allowlist: ['beta-testers']
});

if (newCheckout) {
  return <NewCheckoutFlow />;
} else {
  return <LegacyCheckoutFlow />;
}

// Instant rollback on issues
await featureFlags.disable('new-checkout');

Canary Deployment

yaml
# Flagger canary config
apiVersion: flagger.app/v1beta1
kind: Canary
spec:
  targetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: checkout-service
  progressDeadlineSeconds: 60
  analysis:
    interval: 1m
    threshold: 5      # Max failed checks
    maxWeight: 50     # Max traffic to canary
    stepWeight: 10    # Increment per interval
    metrics:
      - name: request-success-rate
        threshold: 99
      - name: request-duration
        threshold: 500

Synthetic Monitoring

javascript
// Continuous production validation
await Task("Synthetic Tests", {
  endpoints: [
    { path: '/health', expected: 200, interval: '30s' },
    { path: '/api/products', expected: 200, interval: '1m' },
    { path: '/checkout', flow: 'full-purchase', interval: '5m' }
  ],
  locations: ['us-east', 'eu-west', 'ap-south'],
  alertOn: {
    statusCode: '!= 200',
    latency: '> 500ms',
    contentMismatch: true
  }
}, "qe-production-intelligence");

Chaos Engineering

typescript
// Controlled failure injection
await Task("Chaos Experiment", {
  hypothesis: 'System handles database latency gracefully',
  steadyState: {
    metric: 'error_rate',
    expected: '< 0.1%'
  },
  experiment: {
    type: 'network-latency',
    target: 'database',
    delay: '500ms',
    duration: '5m'
  },
  rollback: {
    automatic: true,
    trigger: 'error_rate > 5%'
  }
}, "qe-chaos-engineer");

Production → Pre-Production Feedback Loop

typescript
// Convert production incidents to regression tests
await Task("Incident Replay", {
  incident: {
    id: 'INC-2024-001',
    type: 'performance-degradation',
    conditions: { concurrent_users: 500, cart_items: 10 }
  },
  generateTests: true,
  addToRegression: true
}, "qe-production-intelligence");

// Output: New test added to prevent recurrence

Agent Coordination Hints

Memory Namespace
aqe/shift-right/
├── canary-results/*      - Canary deployment metrics
├── synthetic-tests/*     - Monitoring configurations
├── chaos-experiments/*   - Experiment results
├── production-insights/* - Issues → test conversions
└── rum-analysis/*        - Real user data patterns
Fleet Coordination
typescript
const shiftRightFleet = await FleetManager.coordinate({
  strategy: 'shift-right-testing',
  agents: [
    'qe-production-intelligence',  // RUM, incident replay
    'qe-chaos-engineer',           // Resilience testing
    'qe-performance-tester',       // Synthetic monitoring
    'qe-quality-analyzer'          // Metrics analysis
  ],
  topology: 'mesh'
});

Remember

Production is the ultimate test environment. Feature flags enable instant rollback. Canary catches issues before 100% rollout. Synthetic monitoring detects problems before users. Chaos engineering builds resilience. RUM shows real user experience.

With Agents: Agents monitor production, replay incidents as tests, run chaos experiments, and convert production insights to pre-production tests. Use agents to maintain continuous production quality.

© 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/shift-right-testing of proffesor-for-testing/agentic-qe.

  • SKILL.md
  • evals/shift-right-testing.yaml
  • schemas/output.json
  • scripts/validate-config.json

Open the folder on GitHubat commit 829d030

Compare with similar skills

Shift Right Testing 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.

Shift Right Testing compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Shift Right Testing this skillproffesor-for-testing/agentic-qe494—~1.6kAutomated safety check: PassMIT
Release Itwondelai/skills2.4k—~4kAutomated safety check: PassMIT
Kubeshark Installerkubeshark/kubeshark12k—~3.6kAutomated safety check: NotesApache-2.0
GreptimeDB Dev Docker ImageGreptimeTeam/greptimedb6.7k—~4kAutomated safety check: NotesApache-2.0
KubeSphere ServiceMesh Managerkubesphere/kubesphere17k—~2.4kAutomated safety check: PassCustom licence
Vercelremotion-dev/remotion62k—~1.2kAutomated safety check: PassCustom licence

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Categories

Questions about Shift Right Testing

What does Shift Right Testing do?

Testing in production with feature flags, canary deployments, synthetic monitoring, and chaos engineering. Shift Right Testing is an agent skill from proffesor-for-testing/agentic-qe. Testing in production with feature flags, canary deployments, synthetic monitoring, and chaos engineering.

When should I use Shift Right Testing?

Shift Right Testing fits situations like: implementing production observability; progressive delivery.

How do I install Shift Right Testing in Claude Code?

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

How do I install Shift Right Testing in Codex?

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

Can I use Shift Right Testing 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 shift-right-testing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/shift-right-testing, .gemini/skills/shift-right-testing, .github/skills/shift-right-testing and .opencode/skills/shift-right-testing in your project.

What does Shift Right Testing need to run?

SKILL.md names no scripts, command-line tools or credentials: Shift Right Testing is instructions for the agent only.

Does Shift Right Testing 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 Shift Right Testing 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 Shift Right Testing use?

Shift Right Testing 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 Shift Right Testing use?

About 1.6k tokens (SKILL.md is roughly 6.6k 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 Shift Right Testing?

Skills that share tags, products or a category with Shift Right Testing: Release It (wondelai/skills, 2.4k stars), Kubeshark Installer (kubeshark/kubeshark, 12k stars), GreptimeDB Dev Docker Image (GreptimeTeam/greptimedb, 6.7k stars) and KubeSphere ServiceMesh Manager (kubesphere/kubesphere, 17k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Shift Right Testing?

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.