Web Application Testing
anthropics/skills
Tests local web applications with Python Playwright scripts, checking frontend behavior, capturing screenshots and reading browser console logs.
Otonom deney dongusu. An agent skill from vibeeval/vibecosystem.
$ npx skills add vibeeval/vibecosystem --skill experiment-engine -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install vibeeval/vibecosystem experiment-engine --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/vibeeval/vibecosystem.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/experiment-engine .claude/skills/experiment-engine && rm -rf skills-srcUse ~/.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/
Install the "experiment-engine" agent skill from https://github.com/vibeeval/vibecosystem/tree/main/skills/experiment-engine into .claude/skills/experiment-engine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-engine", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/vibeeval/vibecosystem/tree/main/skills/experiment-engineType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add vibeeval/vibecosystem --skill experiment-engine -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install vibeeval/vibecosystem experiment-engine --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vibeeval/vibecosystem.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/experiment-engine .agents/skills/experiment-engine && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "experiment-engine" agent skill from https://github.com/vibeeval/vibecosystem/tree/main/skills/experiment-engine into .agents/skills/experiment-engine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-engine", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add vibeeval/vibecosystem --skill experiment-engine -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install vibeeval/vibecosystem experiment-engine --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vibeeval/vibecosystem.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/experiment-engine .cursor/skills/experiment-engine && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "experiment-engine" agent skill from https://github.com/vibeeval/vibecosystem/tree/main/skills/experiment-engine into .cursor/skills/experiment-engine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-engine", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/vibeeval/vibecosystem.git --path skills/experiment-engine--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add vibeeval/vibecosystem --skill experiment-engine -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install vibeeval/vibecosystem experiment-engine --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vibeeval/vibecosystem.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/experiment-engine .gemini/skills/experiment-engine && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "experiment-engine" agent skill from https://github.com/vibeeval/vibecosystem/tree/main/skills/experiment-engine into .gemini/skills/experiment-engine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-engine", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install vibeeval/vibecosystem experiment-engineInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add vibeeval/vibecosystem --skill experiment-engine -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/vibeeval/vibecosystem.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/experiment-engine .github/skills/experiment-engine && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "experiment-engine" agent skill from https://github.com/vibeeval/vibecosystem/tree/main/skills/experiment-engine into .github/skills/experiment-engine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-engine", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add vibeeval/vibecosystem --skill experiment-engine -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install vibeeval/vibecosystem experiment-engine --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vibeeval/vibecosystem.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/experiment-engine .opencode/skills/experiment-engine && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "experiment-engine" agent skill from https://github.com/vibeeval/vibecosystem/tree/main/skills/experiment-engine into .opencode/skills/experiment-engine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-engine", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
experiment-engineOtonom deney dongusu. An agent skill from vibeeval/vibecosystem.
Experiment Engine is an agent skill from vibeeval/vibecosystem. Otonom deney dongusu. Kod degisikligi yap, olc, karsilastir, kabul et veya geri al. Metrik bazli karar verme ile performans, boyut veya kalite optimizasyonu. Tek basina veya agent ile kullan.
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Testing & QA. The repository describes itself as: AI software team for Claude Code - 138 agents, 295 skills, 73 hooks. Self-learning, multi-agent swarm, autonomous skill evolution. The licence is MIT.
Read from SKILL.md and the folder at commit 3b763b1. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
gitnpxcurlclaudeFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use git, npx and curl, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Experiment Engine loads about 1.6k tokens when it runs. Until then it costs about 52 tokens; SKILL.md has 103 words of instructions outside code blocks.
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.
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); files beside SKILL.md are not scanned.
The full file from vibeeval/vibecosystem at commit 3b763b1, republished under its MIT licence (© vibeeval). 103 words, ~1,578 tokens.
.claude/skills/experiment-engine/SKILL.md (or your agent's skills folder).Not / Overlap: Bu skill
experiment-loopile ayni otonom deney dongusu kavramini kapsar (bu dosya TR, experiment-loop EN). Yeni isler icinexperiment-looptercih edilir; v4.0 da birlestirilecek.
Bir hedef belirle, sistematik olarak deneyler yap, sadece iyilestirenleri tut.
HEDEF BELIRLE
└─ "API response time'i %20 dusur"
└─ "Bundle size'i 500KB'nin altina getir"
└─ "Test coverage'i %90'a cikar"
BASELINE OLC
└─ Mevcut metrigi kaydet (ornek: 340ms, 720KB, %78)
DENEY DONGUSU (N kez tekrarla):
┌─────────────────────────────────────┐
│ 1. MODIFY - Tek degisiklik yap │
│ 2. VERIFY - Metrigi olc │
│ 3. COMPARE - Baseline ile kiyasla │
│ 4. DECIDE - Kabul / Reddet │
│ ├─ Iyilesti → COMMIT + yeni │
│ │ baseline │
│ └─ Kotulesti → ROLLBACK │
└─────────────────────────────────────┘
RAPOR OLUSTUR
└─ N deney, X kabul, Y red, final metrik# Hedef: API response time < 200ms
# Baseline: 340ms
# Deney 1: Database query'ye index ekle
git stash # mevcut durumu kaydet
# ... index ekle ...
curl -w "%{time_total}" http://localhost:3000/api/users # 280ms
# 340ms -> 280ms = IYILESTI → COMMIT
# Deney 2: Response'u cache'le
# ... Redis cache ekle ...
curl -w "%{time_total}" http://localhost:3000/api/users # 45ms
# 280ms -> 45ms = IYILESTI → COMMIT
# Deney 3: JSON serializer degistir
# ... fast-json-stringify ekle ...
curl -w "%{time_total}" http://localhost:3000/api/users # 42ms
# 45ms -> 42ms = MINIMAL IYILESME → REDDET (karmasiklik artmaya degmez)
# Sonuc: 340ms -> 45ms (%87 iyilesme), 2/3 deney kabul edildi# Hedef: < 500KB
# Baseline olc
BASELINE=$(npx next build 2>&1 | grep "First Load JS" | awk '{print $4}')
# Deney dongusu
experiments=(
"lodash yerine lodash-es"
"moment yerine dayjs"
"tree-shaking acik mi kontrol"
"dynamic import lazy component'ler"
"image optimize (next/image)"
)
for exp in "${experiments[@]}"; do
echo "=== Deney: $exp ==="
# degisiklik yap...
NEW=$(npx next build 2>&1 | grep "First Load JS" | awk '{print $4}')
if [ "$NEW" -lt "$BASELINE" ]; then
echo "KABUL: $BASELINE -> $NEW"
BASELINE=$NEW
git add -A && git stash # kaydet
else
echo "RED: $NEW >= $BASELINE"
git checkout . # geri al
fi
done# Hedef: %90 coverage
# Baseline
BASELINE=$(npx jest --coverage --silent 2>&1 | grep "All files" | awk '{print $4}')
# Her dosya icin test yaz, coverage'i olc
for file in $(find src -name "*.ts" -not -name "*.test.*"); do
echo "=== Test: $file ==="
# test yaz...
NEW=$(npx jest --coverage --silent 2>&1 | grep "All files" | awk '{print $4}')
if (( $(echo "$NEW > $BASELINE" | bc -l) )); then
echo "KABUL: %$BASELINE -> %$NEW"
BASELINE=$NEW
fi
doneYANLIS: Ayni anda 3 sey degistirip "daha hizli oldu" demek
→ Hangi degisiklik etkili oldugunu bilemezsin
DOGRU: Her seferinde TEK degisiklik yap
→ Neyin ise yaradigini kesin bilirsin# Yontem 1: git stash (basit)
git stash # deney oncesi
# ... deney ...
git stash pop # basarisizsa geri al
# Yontem 2: git worktree (izole)
git worktree add /tmp/experiment-1 -b exp/perf-test
cd /tmp/experiment-1
# ... deney ...
# basarisizsa worktree'yi sil
# Yontem 3: checkpoint (karmasik deneyler)
git add -A && git commit -m "checkpoint: pre-experiment"
# ... deney ...
# basarisizsa: git reset --hard HEAD~1interface ExperimentResult {
id: string
description: string
baseline: number
result: number
improvement: number // yuzde
accepted: boolean
duration: number // saniye
timestamp: string
}
// Deney raporu
interface ExperimentReport {
goal: string
metric: string
baselineValue: number
finalValue: number
totalExperiments: number
accepted: number
rejected: number
totalImprovement: number // yuzde
experiments: ExperimentResult[]
}# Deney Raporu: [Hedef]
## Ozet
- Hedef: [metrik] < [esik]
- Baseline: [baslangic degeri]
- Final: [son deger]
- Iyilesme: [yuzde]
- Deneyler: [kabul]/[toplam]
## Deneyler
| # | Aciklama | Onceki | Sonraki | Degisim | Karar |
|---|----------|-------:|--------:|--------:|-------|
| 1 | Index ekle | 340ms | 280ms | -18% | KABUL |
| 2 | Redis cache | 280ms | 45ms | -84% | KABUL |
| 3 | JSON serializer | 45ms | 42ms | -7% | RED |
## Ogrenim
- En etkili: Redis cache (-84%)
- Degmez: JSON serializer degisimi (karmasiklik > kazanim)# experiment-loop.sh
# Kullanim: ./experiment-loop.sh "response_time" "200" "ms" 10
METRIC=$1 # olculecek metrik
TARGET=$2 # hedef deger
UNIT=$3 # birim
MAX_ROUNDS=$4 # max deney sayisi
ROUND=0
BASELINE=$(measure_$METRIC)
while [ $ROUND -lt $MAX_ROUNDS ]; do
ROUND=$((ROUND + 1))
# Claude'a optimize ettir
claude -p "Optimize $METRIC. Current: ${BASELINE}${UNIT}. Target: <${TARGET}${UNIT}. Make ONE small change." --no-input
# Olc
NEW=$(measure_$METRIC)
if [ "$NEW" -lt "$BASELINE" ]; then
echo "Round $ROUND: KABUL ($BASELINE -> $NEW)"
BASELINE=$NEW
git add -A && git commit -m "experiment: $METRIC improved to ${NEW}${UNIT}"
else
echo "Round $ROUND: RED ($NEW >= $BASELINE)"
git checkout .
fi
# Hedefe ulastik mi?
if [ "$BASELINE" -le "$TARGET" ]; then
echo "HEDEF ULASILDI: ${BASELINE}${UNIT} <= ${TARGET}${UNIT}"
break
fi
done© vibeeval, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/experiment-engine of vibeeval/vibecosystem.
Open the folder on GitHubat commit 3b763b1
Experiment Engine 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Experiment Engine this skillvibeeval/vibecosystem | 531 | — | ~1.6k | Automated safety check: Pass | MIT | |
| Web Application Testinganthropics/skills | 180k | 51 repos | ~966 | Automated safety check: Pass | Apache-2.0 | |
| Diagnosing Bugsfossasia/eventyay-interpretation | 1.6k | 31 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| TDDfossasia/eventyay-interpretation | 1.6k | 28 repos | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| TDD WorkflowhellangleZ/burn-in-cceverywhere-ralph | 112 | 11 repos | ~2.4k | Automated safety check: Pass | None | |
| TDDsanity-io/sanity | 6.4k | 20 repos | ~1k | Automated safety check: Pass | MIT |
anthropics/skills
Tests local web applications with Python Playwright scripts, checking frontend behavior, capturing screenshots and reading browser console logs.
fossasia/eventyay-interpretation
Diagnosis loop for hard bugs and performance regressions. An agent skill from fossasia/eventyay-interpretation.
fossasia/eventyay-interpretation
Test-driven development. An agent skill from fossasia/eventyay-interpretation.
hellangleZ/burn-in-cceverywhere-ralph
A skill your agent uses when writing new features, fixing bugs, or refactoring code.
sanity-io/sanity
Test-driven development with red-green-refactor loop. An agent skill from sanity-io/sanity.
Ibrahim-3d/orchestrator-supaconductor
A skill your agent uses when working with Conductor's context-driven development methodology, managing project context artifacts, or understanding the relationship between product.md, tech-stack.md…
vibeeval/vibecosystem
Framework for measuring and tracking agent response quality over time.
vibeeval/vibecosystem
Security-focused differential code review with blast radius analysis, risk-adaptive depth (DEEP/FOCUSED/SURGICAL), git history correlation, and structured finding format.
vibeeval/vibecosystem
A skill your agent uses when making any factual claim about the codebase — existence, absence, or behavior.
vibeeval/vibecosystem
Systematic false positive verification for security findings.
vibeeval/vibecosystem
n8n otomasyon workflow'lari. An agent skill from vibeeval/vibecosystem.
vibeeval/vibecosystem
A skill your agent uses when context compression is imminent, when resuming a session, or when preserving critical decisions across long tasks.
Categories
Otonom deney dongusu. An agent skill from vibeeval/vibecosystem. Experiment Engine is an agent skill from vibeeval/vibecosystem. Otonom deney dongusu.
Experiment Engine fits situations like: testing & QA work in your project.
Run `npx skills add vibeeval/vibecosystem --skill experiment-engine -a claude-code`. Or copy the skill folder (skills/experiment-engine in vibeeval/vibecosystem) into .claude/skills/experiment-engine in your project. Claude Code loads it when a task matches its description.
Run `npx skills add vibeeval/vibecosystem --skill experiment-engine -a codex`. Or copy the skill folder (skills/experiment-engine in vibeeval/vibecosystem) into .agents/skills/experiment-engine in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add vibeeval/vibecosystem --skill experiment-engine -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/experiment-engine, .gemini/skills/experiment-engine, .github/skills/experiment-engine and .opencode/skills/experiment-engine in your project.
Going by SKILL.md and its folder, Experiment Engine needs the command-line tools its instructions call (git, npx, curl and claude). Our summary lists: Node.js.
SKILL.md contains no URLs. Its commands use git, npx and curl, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
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. Review the folder before installing.
Experiment Engine is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.6k tokens (SKILL.md is roughly 6.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Experiment Engine: Web Application Testing (anthropics/skills, 180k stars), Diagnosing Bugs (fossasia/eventyay-interpretation, 1.6k stars), TDD (fossasia/eventyay-interpretation, 1.6k stars) and TDD Workflow (hellangleZ/burn-in-cceverywhere-ralph, 112 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
vibeeval (a GitHub user) maintains it in vibeeval/vibecosystem, which has 531 GitHub stars. The repository holds 144 skills in this directory. The repository was last updated on August 8, 2026.
Source: vibeeval/vibecosystem on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.