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.
npx skills add javalenciacai/QASkills --skill qa-process-improvementgit clone --depth 1 https://github.com/javalenciacai/QASkillsWrote 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.
[](https://agentmods.dev/skills/javalenciacai/qaskills/qa-process-improvement)<a href="https://agentmods.dev/skills/javalenciacai/qaskills/qa-process-improvement"><img src="https://agentmods.dev/badge/skills/javalenciacai/qaskills/qa-process-improvement/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.
<a href="https://agentmods.dev/skills/javalenciacai/qaskills/qa-process-improvement"><img src="https://agentmods.dev/badge/skills/javalenciacai/qaskills/qa-process-improvement.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00037 | $0.01941 |
| Opus 5 | $0.00018 | $0.00971 |
| Sonnet 5 | $0.00007 | $0.00388 |
| Haiku 4.5 | $0.00004 | $0.00194 |
Grade A, and why
qa-process-improvement 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 389 lines — stays where its author put it; the contents beside it link to each section on GitHub.
QA Process Improvement
Expert skill for analyzing QA effectiveness and driving continuous improvement initiatives.
When to Use
Use this skill when you need to:
- Analyze QA process effectiveness
- Identify bottlenecks and inefficiencies
- Implement process improvements
- Adopt new tools and techniques
- Reduce test maintenance burden
- Improve team productivity
- Enhance quality outcomes
Improvement Framework
1. Measure Current State
Collect baseline metrics:
- Test coverage
- Defect detection rate
- Test execution time
- Automation coverage
- Defect escape rate
- Time to feedback
- Team velocity
2. Identify Problems
Common pain points:
- Tests take too long to run
- High maintenance burden
- Too many escaped defects
- Late defect discovery
- Manual repetitive work
- Unstable test environment
- Unclear requirements
3. Analyze Root Causes
Use techniques:
- 5 Whys
- Fishbone diagram
- Pareto analysis
- Process mapping
- Team retrospectives
4. Design Solutions
Improvement categories:
- Process changes
- Tool adoption
- Automation expansion
- Skill development
- Communication improvements
5. Implement & Measure
Track impact:
- Before/after metrics
- ROI calculation
- Team feedback
- Stakeholder satisfaction
Key Metrics for Improvement
Quality Metrics
Defect Detection Efficiency (DDE)
DDE = (Defects in QA) / (Defects in QA + Production) × 100%
Goal: > 90%
Escaped Defect Rate
Rate = (Production defects) / (Total defects found)
Goal: < 5%
Defect Removal Efficiency
Efficiency = (Defects removed in phase) / (Total defects) × 100%
Efficiency Metrics
Test Automation Coverage
Coverage = (Automated tests) / (Total tests) × 100%
Goal: 70-80% for regression suite
Test Execution Time
Time = Total duration for test suite run
Track: Trend over time
Goal: Decreasing or stable
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.
- 10d ago First seen · 389 lines · 37 tokens per session scan A 81b0977705b7
qa-process-improvement is a skill published in the GitHub repository javalenciacai/QASkills (5 stars, last pushed 7mo ago), licensed MIT. It adds 37 tokens to every session and 1,941 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 2026-08-31.
Other skills, from other repositories
qa-expert
Expert-level quality assurance, testing strategies, automation, and QA processes. Use when the user mentions testing, test automation, quality assurance, or Selenium, or when the task involves Testing Types, QA Processes, Test Strategy, or Defect Management.
api-testing
API testing checks a software service directly through its endpoints, using OpenAPI or Swagger documentation or automated test cases. It can produce and run scripts that test requests and responses.
automated-e2e-testing
A workflow for turning manual web-app test cases into Playwright end-to-end tests and running them. End-to-end tests check a complete user flow through the website.
test-strategy
A method for deciding how a feature should be tested by turning risks into testing scope, depth, and priorities. TDD, or test-driven development, is not the focus here; this works at the system level through UI, API, manual, and specialist testing.
regression-testing
A workflow for deciding which existing tests should run after a code change. Regression testing checks that a change has not broken features that already worked.
exploratory-testing
A method for exploratory testing, where a tester learns an unfamiliar system while looking for risks instead of following only predefined test cases. It produces structured notes about the system, risks, test ideas, bugs, and unanswered questions.