common-architecture-di…
Draw architecture diagrams as editable draw.io files with a fixed house style, C4 levels, and evidence-tagged shapes. Use when producing a system context,…
Measures whether an automation suite builds release confidence via feedback-loop length, suite reliability, release cadence, and production escape rate, and emits a release_confidence verdict. Use when judging suite value, ROI, or pre-release trust; not for writing or healing
$ npx -y skills add hoangnguyen0403/agent-skills-standard --skill quality-engineering-automation-health --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/quality-engineering-automation-healthContext preview
The summary Claude sees to decide when to auto-load this skill.
Measures whether an automation suite builds release confidence via feedback-loop length, suite reliability, release cadence, and production escape rate, and emits a release_confidence verdict. Use when judging suite value, ROI, or pre-release trust; not for writing or healing
name: quality-engineering-automation-health
description: Measures whether an automation suite builds release confidence via feedback-loop length, suite reliability, release cadence, and production escape rate, and emits a release_confidence verdict. Use when judging suite value, ROI, or pre-release trust; not for writing or healing tests.
metadata:
triggers:
keywords:
- automation health
- release confidence
- suite reliability
- flaky rate
- feedback loop
- escape rate
- automation roi
- suite valueAutomation exists to reduce ambiguity at release time, not to catch every bug. Finding bugs is testing's job; building confidence is automation's. Judge a suite by whether the team can deploy on Friday afternoon without fear.
A high-value suite answers all three with evidence:
1. **Core workflows intact**: the flows that create revenue and user value still run end to end. 2. **No serious regression**: the latest change did not break what was already stable. 3. **Fast feedback**: a developer learns what they broke in minutes, not hours.
| Metric | Key | Question it answers | | --- | --- | --- | | Feedback loop | `feedback_loop_minutes` | How long from push to a trusted green or red? | | Suite reliability | `suite_reliability_pct` | When a run is red, does the team investigate or just re-run? | | Release cadence | `release_cadence` | Did automation let the team ship more often without more production risk? | | Production escape rate | `prod_escape_rate` | How many serious defects passed the whole pipeline and reached real users? |
Formulas and data sources per CI provider live in [Metrics Definitions](references/metrics-definitions.md).
`release_confidence: high | medium | low`
Report with [Confidence Report Template](references/confidence-report-template.md); feed `release_confidence` into `test-loop`, `uat-signoff`, and `deploy-release` handoffs.
"this test never fails, delete it" · "just re-run it, it's probably flaky" · "we found zero bugs so automation isn't paying off" · "coverage is 90%, we're safe". Each swaps a confidence question for a vanity number; re-frame with the Three Questions before acting.
The portable SDLC standards layer for AI coding agents. Sync once, then work in your own runtime.
Repo: hoangnguyen0403/agent-skills-standard
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