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 TheGoat395/Codex-Skills --skill visual-regression-labgit clone --depth 1 https://github.com/TheGoat395/Codex-SkillsWrote 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/thegoat395/codex-skills/visual-regression-lab)<a href="https://agentmods.dev/skills/thegoat395/codex-skills/visual-regression-lab"><img src="https://agentmods.dev/badge/skills/thegoat395/codex-skills/visual-regression-lab/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/thegoat395/codex-skills/visual-regression-lab"><img src="https://agentmods.dev/badge/skills/thegoat395/codex-skills/visual-regression-lab.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00015 | $0.00431 |
| Opus 5.5 | $0.00006 | $0.00172 |
| Sonnet 5.5 | $0.00003 | $0.00086 |
| Haiku 4.5 | $0.00002 | $0.00043 |
Grade A, and why
visual-regression-lab 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 1mo 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.
What it actually says
Visual Regression Lab
Use this skill to capture comparable browser evidence and inspect visual regressions. Scope routes, viewports and states to the requested comparison; a capture alone does not prove quality.
Required Checks
- Start or identify the local server.
- Open the relevant route in a browser or Playwright.
- Capture the relevant supported viewports and states, using the same conditions for baseline and candidate.
- Check console errors, failed requests, layout overflow, missing media, and text clipping.
- Inspect first viewport composition, hierarchy, spacing, typography, image crops, and CTA visibility.
- Test key interactions: nav, forms, menus, tabs, accordions, hover states, focus states, and modals.
- For animation-heavy work, test reduced-motion behavior and watch for jank.
- For canvas/WebGL/video, verify nonblank rendered pixels and stable framing.
- Report observed differences with evidence. Repair only when authorized, then recapture affected states; no fixed polish-pass or edit quota applies.
Read baseline contract. When a project has Playwright installed, run node "<skill-root>/scripts/capture-settled-baseline.mjs" <url> <output-dir> to capture settled desktop/mobile/reduced-motion states and a machine-readable inspection manifest.
When native full-page capture is blank, sparse, incomplete, or inconsistent with real scrolling, read stitched full-page capture and run node "<skill-root>/scripts/capture-stitched-full-page.mjs" --url <url> --output <image>. Treat the stitched image as evidence only after visual inspection.
Output
Report:
- routes/viewports checked
- screenshots or saved paths when available
- issues found and fixed
- commands run
- anything not tested
Resolve <skill-root> to this skill folder's actual absolute location; preserve project-local module resolution for Node capture tools.
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago Changed 80e2e679c415
- 1mo ago Changed · +6 lines · -33 tokens per session f37c42210caa
- 1mo ago First seen · 31 lines · 48 tokens per session scan A 0e5a917ee36e
visual-regression-lab is a skill published in the GitHub repository TheGoat395/Codex-Skills (132 stars, last pushed 3d ago), licensed MIT. It adds 15 tokens to every session and 431 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.
Other skills, from other repositories
playwright-scanner
Internal helper: behavioral scans via Playwright for keyboard and state.
visual-qa
Use when a website needs rendered screenshot review, Playwright visual regression, multi-viewport checks, horizontal overflow detection, console-error checks, focus/state inspection, or a repeatable visual QA evidence set.
test-loop
Plan, generate, and heal an executable E2E test suite from approved acceptance criteria (web and mobile).
verify-work
Verify feature, bug, UI, API, mobile, security, or deployment work against acceptance criteria.
uat-signoff
Walk a business/UAT approver through a plain-language demo of a verified feature and capture business acceptance signoff.
verify
Build/launch/drive recipe for verifying apps/docs changes at runtime (demos, docs pages, llms.txt).