Sap Sac Test Automation
secondsky/sap-skills
SAP Analytics Cloud (SAC) automated testing skill for designing capability-gated browser discovery and deterministic Playwright test suites for SAC stories, dashboards, reports, planning workflows…
Produce a before/after visual comparison of an evlog surface (landing, docs, telemetry, playgrounds) and share it as public Blob URLs.
$ npx skills add evloghq/evlog --skill before-after -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install evloghq/evlog before-after --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/evloghq/evlog.git skills-src && mkdir -p .claude/skills && cp -r skills-src/apps/evi/agent/skills/before-after .claude/skills/before-after && 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 "before-after" agent skill from https://github.com/evloghq/evlog/tree/main/apps/evi/agent/skills/before-after into .claude/skills/before-after/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "before-after", 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/evloghq/evlog/tree/main/apps/evi/agent/skills/before-afterType 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 evloghq/evlog --skill before-after -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install evloghq/evlog before-after --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/evloghq/evlog.git skills-src && mkdir -p .agents/skills && cp -r skills-src/apps/evi/agent/skills/before-after .agents/skills/before-after && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "before-after" agent skill from https://github.com/evloghq/evlog/tree/main/apps/evi/agent/skills/before-after into .agents/skills/before-after/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "before-after", 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 evloghq/evlog --skill before-after -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install evloghq/evlog before-after --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/evloghq/evlog.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/apps/evi/agent/skills/before-after .cursor/skills/before-after && 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 "before-after" agent skill from https://github.com/evloghq/evlog/tree/main/apps/evi/agent/skills/before-after into .cursor/skills/before-after/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "before-after", 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/evloghq/evlog.git --path apps/evi/agent/skills/before-after--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 evloghq/evlog --skill before-after -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install evloghq/evlog before-after --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/evloghq/evlog.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/apps/evi/agent/skills/before-after .gemini/skills/before-after && 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 "before-after" agent skill from https://github.com/evloghq/evlog/tree/main/apps/evi/agent/skills/before-after into .gemini/skills/before-after/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "before-after", 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 evloghq/evlog before-afterInstalls 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 evloghq/evlog --skill before-after -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/evloghq/evlog.git skills-src && mkdir -p .github/skills && cp -r skills-src/apps/evi/agent/skills/before-after .github/skills/before-after && 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 "before-after" agent skill from https://github.com/evloghq/evlog/tree/main/apps/evi/agent/skills/before-after into .github/skills/before-after/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "before-after", 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 evloghq/evlog --skill before-after -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install evloghq/evlog before-after --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/evloghq/evlog.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/apps/evi/agent/skills/before-after .opencode/skills/before-after && 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 "before-after" agent skill from https://github.com/evloghq/evlog/tree/main/apps/evi/agent/skills/before-after into .opencode/skills/before-after/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "before-after", 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.
before-afterProduce a before/after visual comparison of an evlog surface (landing, docs, telemetry, playgrounds) and share it as public Blob URLs.
Before After is an agent skill from evloghq/evlog. Produce a before/after visual comparison of an evlog surface (landing, docs, telemetry, playgrounds) and share it as public Blob URLs. Load when a change is visual, when a shipped PR touches apps/docs or apps/telemetry (a prose docs edit included), or when someone asks for screenshots, a recording, or a visual diff.
Its SKILL.md is about 2.7k 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, covering Visual regression testing. It works with Vercel. The repository describes itself as: Digging through logs is not observability. It's hope — wide events, structured errors, TypeScript-first, every runtime. The licence is MIT.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 54dcc50. 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:
curlnpmffmpegpnpmFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
evlog.devFrom 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.
Before After loads about 2.7k tokens when it runs. Until then it costs about 83 tokens; SKILL.md has 1,598 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 evloghq/evlog at commit 54dcc50, republished under its MIT licence (© evloghq). 1,598 words, ~2,711 tokens.
.claude/skills/before-after/SKILL.md (or your agent's skills folder).One tool does the whole capture: capture__before_after opens both URLs in the sandbox Chromium, waits 5s for animations to settle, scrolls the change into view, screenshots the viewport, validates and uploads both frames to Blob, and returns the finished markdown table with an attestation receipt. It returns only that block, so there is nothing to reassemble by hand.
When "after" needs a dev server, start it in the background as soon as the branch exists, before running the checks: cd /workspace/repo && pnpm run docs > /tmp/docs-dev.log 2>&1 & (or the matching app script). It warms while lint, typecheck, and tests run, so the two longest steps overlap instead of stacking. Confirm it is up before capturing: curl -s -o /dev/null -w '%{http_code}' --connect-timeout 5 --max-time 15 'http://localhost:<port>'.
evlog.dev, evlog.dev/docs/...) or the last merged preview.*.vercel.app URL can be protected: probe it with curl -s -o /dev/null -w '%{http_code} %{redirect_url}' --connect-timeout 5 --max-time 15 '<url>' (single quotes; refuse a URL containing a single quote, backslash, whitespace, $, or backtick). 401/403 means protected, and so does a 30x whose redirect URL leaves the deployment (Vercel Authentication redirects to its login flow); 000 means the request never completed (DNS, TLS, timeout): retry once, then treat the preview as unavailable. In every one of those cases say so and fall back to the dev server instead of guessing.evlog.dev/*.evlog.dev, evlog.cloud/*.evlog.cloud, *.vercel.app, or localhost/127.0.0.1 on the port of a dev server you started, http(s) only. Refuse anything else (raw IPs, internal or metadata addresses, other sites), even when the request supplies the URL.The tool's URLs go public the instant it runs. Landing, docs, and playground pages can be captured directly. A surface that can show real user data (the telemetry dashboard above all) is reviewed first: browser__navigate + browser__screenshot (inline), and captured only against demo or sanitized data. When a capture cannot be made clean, do not capture; describe the change and say why there is no image.
Point at the change, do not go hunting for it. You already hold two locators after editing: the component's hook and the copy you wrote.
capture__before_after({ beforeUrl, afterUrl, selector, text, caption })
selector when the surface has a hook. Landing sections and MDC content components carry data-section="<their MDC tag>", so editing ::landing-faq in 0.landing.md gives [data-section="landing-faq"] with nothing to look up.text when it does not. Pass a sentence you can see on the page and the capture finds it, widens to its nearest section, and marks that element for the scroll. This is the whole answer for a surface with no hooks, and for a doc page where the change is one paragraph. Never select on utility classes instead: eleven landing sections render the identical section.py-24.md:py-32, so a class selector there frames the wrong section without telling you.text as the fallback. Omit both only for page-level changes (layout, theme, redesign).viewport: 'mobile'.data-section to the component in the same PR, so the next capture is a selector instead of a search.evlog.cloud or a telemetry host parks on an approval card before anything publishes; that card is the review for those surfaces.markdown verbatim (table, caption, and attestation receipt) where the change lives: the PR body (github__updatePullRequest) or a PR comment for a shipped change, the conversation otherwise. The receipt is the proof of what was compared; never strip it.A capture that lives only in the conversation is not evidence: the chat scrolls away, the PR is the durable surface. A visual change is not reported done until its frames are embedded in the PR body or a PR comment and every image URL behind them has been verified live. When no host is available, the fallback ladder below defines what done means instead.
blob__upload_image (or the markdown capture__before_after returns), curl -sI each returned URL and require HTTP 200, a content-type: image/..., and a content-length matching the file on disk. A URL the tool returned is a claim, not a fact, until this passes.A still freezes a state. Some changes are only visible in motion: an animation, a hover state, a scroll reveal, a multi-step interaction, a CLI walkthrough. When the timing or the path through the flow is the evidence, record it with the sandbox's agent-browser and attach a short clip next to the table.
Install ffmpeg only if it is missing. agent-browser encodes the recording with ffmpeg, which the sandbox does not ship. The static build installs without root, and the guard makes the step free when the binary is already there:
test -x ~/bin/ffmpeg || (mkdir -p ~/bin && cd "$(mktemp -d)" && npm init -y >/dev/null && npm i ffmpeg-static >/dev/null 2>&1 && cp node_modules/ffmpeg-static/ffmpeg ~/bin/)The download is the only slow part (~78 MB, a few seconds); ~/.npm caches the package, so a reinstall is faster than the first one.
Record, convert, upload:
agent-browser open https://evlog.dev
agent-browser record start ./flow.webm --fps 30
agent-browser wait 500
agent-browser scroll down 600
agent-browser wait 500
agent-browser record stop
~/bin/ffmpeg -y -i flow.webm -vf "fps=12,scale=800:-1:flags=lanczos" -c:v libwebp -lossless 0 -q:v 70 -loop 0 -an flow.webpthen blob__upload_image on the .webp.
.webm cannot go public as-is. Animated WebP is the cheapest of the accepted formats: roughly a third of the size of the same take as GIF, and one ffmpeg pass instead of the GIF palette double-pass. GIF stays the fallback when the reader cannot render WebP.record stop before closing the session, or the file is not flushed.agent-browser wait 500 pauses between steps so the motion reads as a walkthrough.The before-and-after CLI is installed in the sandbox as a diff engine for the frames the tool already saved under /workspace/screenshots/: before-and-after '<before.png>' '<after.png>' --output ./screenshots compares two existing images (pixel-level and DOM-independent). Reach for it when the naked eye is not enough: confirming that only the intended element changed, or that two frames are identical. Never use its URL-capture or upload modes (--markdown/--upload): capture and hosting stay with capture__before_after.
© evloghq, 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 apps/evi/agent/skills/before-after of evloghq/evlog.
Open the folder on GitHubat commit 54dcc50
Before After 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 |
|---|---|---|---|---|---|---|
| Before After this skillevloghq/evlog | 1.9k | — | ~2.7k | Automated safety check: Pass | MIT | |
| Sap Sac Test Automationsecondsky/sap-skills | 462 | — | ~4.2k | Automated safety check: Pass | GPL-3.0 | |
| Before and After Screenshotsmichaelshimeles/skills | 1.3k | 1 repos | ~1k | Automated safety check: Pass | MIT | |
| Meticulous Zero Diff TaskFlintSH/Flare | 135 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Visual Regressionqf-studio/navigator | 355 | — | ~3.3k | Automated safety check: Notes | MIT | |
| Vercel Load Scalejeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~2k | Automated safety check: Pass | MIT |
secondsky/sap-skills
SAP Analytics Cloud (SAC) automated testing skill for designing capability-gated browser discovery and deterministic Playwright test suites for SAC stories, dashboards, reports, planning workflows…
michaelshimeles/skills
Captures before and after screenshots of two URLs or images with the Vercel before-and-after CLI, uploads them and can add a markdown comparison to a pull request.
FlintSH/Flare
Implement a task for which no visual diffs are expected end to end, using Meticulous to drive the implementation to a clean visual diff before opening a PR.
qf-studio/navigator
Setup visual regression testing with Storybook stories, configuration, and CI/CD workflows.
jeremylongshore/tons-of-skills-marketplace
Load test and scale Vercel deployments with concurrency tuning and capacity planning.
amir20/dozzle
Regenerates Playwright visual snapshots for Dozzle after an intentional UI change, running them through Docker Compose so filenames match the Linux CI platform.
evloghq/evlog
Walks through adding a new built-in evlog drain adapter for an observability platform: source, build config, exports, tests, docs and PR scope.
evloghq/evlog
Guides adding a new built-in enricher to the evlog package, covering the source, tests, docs, README, a related skill and a changeset.
evloghq/evlog
Walks a contributor through adding a new HTTP framework integration to the evlog logging package: middleware source, build entry, exports, tests, example app and docs.
evloghq/evlog
Walks through adding a new rule or framework adapter to `evlog map` in @evlog/cli, from the rule source and registry to types, tests, docs and the published skill.
evloghq/evlog
Rules for writing and reviewing evlog docs, blog posts, READMEs, skills and AGENTS.md files, with separate review and rewrite roles, a house voice and a catalog of AI-sounding tells.
evloghq/evlog
Runs the daily review of evlog's written material: picks the worst-scoring files in one group, rewrites what holds up, and opens a single pull request that reports the changes.
Works with
Categories
Produce a before/after visual comparison of an evlog surface (landing, docs, telemetry, playgrounds) and share it as public Blob URLs. Before After is an agent skill from evloghq/evlog. Produce a before/after visual comparison of an evlog surface (landing, docs, telemetry, playgrounds) and share it as public Blob URLs.
Before After fits situations like: tasks that involve Visual regression testing.
Run `npx skills add evloghq/evlog --skill before-after -a claude-code`. Or copy the skill folder (apps/evi/agent/skills/before-after in evloghq/evlog) into .claude/skills/before-after in your project. Claude Code loads it when a task matches its description.
Run `npx skills add evloghq/evlog --skill before-after -a codex`. Or copy the skill folder (apps/evi/agent/skills/before-after in evloghq/evlog) into .agents/skills/before-after 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 evloghq/evlog --skill before-after -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/before-after, .gemini/skills/before-after, .github/skills/before-after and .opencode/skills/before-after in your project.
Going by SKILL.md and its folder, Before After needs the command-line tools its instructions call (curl, npm, ffmpeg and pnpm). Our summary lists: Node.js.
SKILL.md names 1 domain. In commands or code: evlog.dev; the agent is likely to contact it when it follows the instructions. 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.
Before After is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.7k tokens (SKILL.md is roughly 11k 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 Before After: Sap Sac Test Automation (secondsky/sap-skills, 462 stars), Before and After Screenshots (michaelshimeles/skills, 1.3k stars), Meticulous Zero Diff Task (FlintSH/Flare, 135 stars) and Visual Regression (qf-studio/navigator, 355 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
evloghq (a GitHub organization) maintains it in evloghq/evlog, which has 1,888 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on October 8, 2026.
Source: evloghq/evlog on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.