Automation Tester Resume Optimizer

Automation Tester Resume Optimizer is a skill for Claude Code, Codex from PramodDutta/qaskills. It costs 39 tokens per session (1,396 once invoked), scanned A, original, MIT.

A resume-writing guide for SDETs and automation engineers, who build software that tests other software. It focuses on framework ownership, tools, delivery pipelines, and public proof of work.

In plain words
What is it for?
Use it to structure an automation resume, describe framework contributions, show tools and CI/CD work, quantify results, and organize GitHub or portfolio evidence.
Why use it?
It helps present test automation as engineering work and match technical screening and recruiter searches without overstating experience.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for aider. Also seen: mentions Codex; built for aider.

Good fit Use it to structure an automation resume, describe framework contributions, show tools and CI/CD work, quantify results, and organize GitHub or portfolio evidence.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pramoddutta/qaskills/automation-tester-resume-optimizer
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add PramodDutta/qaskills --skill automation-tester-resume-optimizer
Clone the repo
git clone --depth 1 https://github.com/PramodDutta/qaskills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for Automation Tester Resume Optimizer

README.md
[![agentmods](https://agentmods.dev/badge/skills/pramoddutta/qaskills/automation-tester-resume-optimizer/github.svg)](https://agentmods.dev/skills/pramoddutta/qaskills/automation-tester-resume-optimizer)
Your own site
<a href="https://agentmods.dev/skills/pramoddutta/qaskills/automation-tester-resume-optimizer"><img src="https://agentmods.dev/badge/skills/pramoddutta/qaskills/automation-tester-resume-optimizer/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for Automation Tester Resume Optimizer

Your own site · 80×15
<a href="https://agentmods.dev/skills/pramoddutta/qaskills/automation-tester-resume-optimizer"><img src="https://agentmods.dev/badge/skills/pramoddutta/qaskills/automation-tester-resume-optimizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,396 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00039 $0.01396
Opus 5 $0.00019 $0.00698
Sonnet 5 $0.00008 $0.00279
Haiku 4.5 $0.00004 $0.00140

Measured 11d ago against content hash 98b26651c78a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

Automation Tester Resume Optimizer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

seed-skills/automation-tester-resume-optimizer/SKILL.md · 123 lines

How it starts

The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Automation Tester Resume Optimizer

When to Use This Skill

Use this skill when the user:

  • Is an automation engineer, SDET, or QA engineer with automation work writing a resume
  • Mentions: "SDET resume", "automation resume", "Playwright resume", "Selenium resume"
  • Is applying to SDET, QA Automation Engineer, Test Automation Engineer, or Quality Platform roles
  • Wants their framework work to read as engineering, not test execution

Core Capabilities

  • Position framework ownership as the centerpiece of the resume
  • Build a tool matrix that matches recruiter search strings without keyword stuffing
  • Quantify automation impact: runtime, flake rate, coverage, release cadence
  • Structure GitHub/portfolio proof that screeners actually open
  • Calibrate title (SDET vs QA Automation) against the target market
  • Handle partial-stack candidates (UI-only, API-only) honestly

The Automation Resume Hierarchy

Screeners rank automation candidates in this order. Write the resume to climb it:

  1. Built and owned a framework others use daily
  2. Extended a framework: new capabilities, integrations, patterns
  3. Wrote tests inside someone else's framework
  4. Executed and maintained existing suites

Most resumes bury level-1 evidence under level-3 language. "Wrote automated tests using Playwright" hides "Designed the Playwright framework 8 engineers write tests in today."

Framework Bullets That Screen You In

Weak Strong
Automated test cases with Selenium Built a Java + Selenium framework with Page Object Model and parallel grid execution; 300 tests run in 18 minutes across 4 browsers
Used Playwright for E2E testing Migrated 220 Cypress tests to Playwright with fixtures and storage-state auth; runtime dropped 40%, flake rate from 9% to under 1%
Integrated tests with CI Wired the suite into GitHub Actions with sharding and retry-on-first-failure; PR feedback in 6 minutes, release regression in 25
Maintained automation suite Ran a flake-hunting rotation: quarantined, root-caused, and fixed 60 flaky tests in one quarter; suite trust restored enough to gate deploys

Read the full file on GitHub · 123 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 123 lines · 39 tokens per session scan A 98b26651c78a

Subscribe to this mod's changes

Automation Tester Resume Optimizer is a skill published in the GitHub repository PramodDutta/qaskills (223 stars, last pushed 12d ago), licensed MIT. It adds 39 tokens to every session and 1,396 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

cv-resume-builder

Optimize resumes and CVs for impact, ATS compatibility, and audience targeting. Supports multiple formats (chronological, functional, hybrid), accomplishment framing (STAR/XYZ), and tailoring for specific roles. Triggers on resume review, CV update, job application prep, or career document requests.

organvm-iv-taxis/a-i--skills · 62 tokens

job-coach

The persona-driven orchestrator for the whole job search. Treats the user like a real career-coaching client — opens with intake (goals, companies, timeline, geography, constraints), researches the market visibly, presents a ranked slate of next moves with suggestions, and chains into the verb skills (/job-apply…

AkbarDevop/ai-job-agent · 244 tokens

job-interview

Prep the candidate for a specific upcoming interview — research the company + role + likely questions, generate a STAR answer bank tied to the candidate's actual projects (not generic), surface smart questions to ask, and flag red flags. Proactively invoke this skill (do NOT answer conversationally) when the user says…

AkbarDevop/ai-job-agent · 163 tokens

job-cv

Tailor the candidate's base CV for one specific job posting and render an ATS-friendly PDF. Reads cv.md (or extracts a CV from config/candidate-profile.md), pulls the job description from a URL or pasted text, has Claude rewrite — never invent — bullets to match the JD's keywords/priorities, gets explicit user…

AkbarDevop/ai-job-agent · 199 tokens

resume-tuning

An interactive resume-writing workflow that turns an existing resume or spoken work history into a tailored PDF resume. It can adapt the content to a job description and check whether applicant-tracking systems can read it.

anneheartrecord/resume-tuning · 165 tokens

job-evaluate

Auto-pipeline for a single job posting. Pastes a URL → fetches the JD → scores it across the 7-block A-G rubric → writes a structured evaluation report → generates a tailored ATS-friendly PDF CV → appends a row to application-tracker.csv. Career-ops's killer demo, ported to our skill pack. Proactively invoke this…

AkbarDevop/ai-job-agent · 166 tokens