Is awt-e2e-testing safe to install?

SaferSkills independently audited awt-e2e-testing (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.

CategoryWeightCategory scoreContribution

Securityprompt, exec, net, exfil, eval

35%

100

35.0 pts

Supply chainhash, typosquat, maintainer, lockfile

20%

100

20.0 pts

Maintenancestaleness, pinning, CI

15%

100

15.0 pts

TransparencySKILL.md, perms, README

15%

100

15.0 pts

Communityinstalls, verify, response

15%

100

15.0 pts

Findings & checks · 0 flagged

Securityscore 100 · 0 findings

✓—All security checks passedNo findings in this category for the latest scan.pass

Supply chainscore 100 · 0 findings

✓—All supply chain checks passedNo findings in this category for the latest scan.pass

Maintenancescore 100 · 0 findings

✓—All maintenance checks passedNo findings in this category for the latest scan.pass

Transparencyscore 100 · 0 findings

✓—All transparency checks passedNo findings in this category for the latest scan.pass

Communityscore 100 · 0 findings

✓—All community checks passedNo findings in this category for the latest scan.pass

The primary manifest — the file an agent reads to learn what this artifact does.

skills/awt-e2e-testing/SKILL.md · 1 file

skills/awt-e2e-testing/SKILL.md2.1 KB · Markdown

name: awt-e2e-testing

description: AI-powered E2E web testing — eyes and hands for AI coding tools. Declarative YAML scenarios, Playwright execution, visual matching (OpenCV + OCR), platform auto-detection (Flutter/React/Vue), learni

category: Creative & Media

source: antigravity

tags: [react, api, claude, ai, workflow, template, design]

url: https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/awt-e2e-testing

AWT — AI-Powered E2E Testing (Beta)

npx skills add ksgisang/awt-skill --skill awt -g

AWT gives AI coding tools the ability to see and interact with web applications through a real browser. Your AI designs YAML test scenarios; AWT executes them with Playwright.

When to Use

You need AI-assisted end-to-end testing through a real browser with declarative YAML scenarios.
The test flow depends on visual matching, OCR, or platform auto-detection instead of stable DOM selectors.
You want an E2E toolchain that can both execute tests and explain failures for AI coding workflows.

What works now

YAML scenarios → Playwright with human-like interaction
Visual matching: OpenCV template + OCR (no CSS selectors needed)
Platform auto-detection: Flutter, React, Next.js, Vue, Angular, Svelte
Structured failure diagnosis with investigation checklists
Learning DB: failure→fix patterns in SQLite
5 AI providers: Claude, OpenAI, Gemini, DeepSeek, Ollama
Skill Mode: no extra AI API key needed

Limitations

Use this skill only when the task clearly matches the scope described above.
Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

awt-e2e-testing— agent skill

Is awt-e2e-testing safe to install?

AWT — AI-Powered E2E Testing (Beta)

When to Use

What works now

Links

Limitations

Audit the pieces. Scan the whole. Decide.