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 aegntic/cldcde --skill ae-ltd-visual-regression-forgegit clone --depth 1 https://github.com/aegntic/cldcdeWrote 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/aegntic/cldcde/ae-ltd-visual-regression-forge)<a href="https://agentmods.dev/skills/aegntic/cldcde/ae-ltd-visual-regression-forge"><img src="https://agentmods.dev/badge/skills/aegntic/cldcde/ae-ltd-visual-regression-forge/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/aegntic/cldcde/ae-ltd-visual-regression-forge"><img src="https://agentmods.dev/badge/skills/aegntic/cldcde/ae-ltd-visual-regression-forge.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00037 | $0.00320 |
| Opus 5.5 | $0.00015 | $0.00128 |
| Sonnet 5.5 | $0.00007 | $0.00064 |
| Haiku 4.5 | $0.00004 | $0.00032 |
Grade A, and why
ae-ltd-visual-regression-forge 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 today.
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
AE.LTD Visual Regression Forge
What This Skill Does
Proves UI changes are safe across breakpoints using baseline and diff workflows. Visual quality gate for release confidence. Niche gem source: visual-regression plugin from awesome-claude-code-toolkit.
- Define snapshot scope (pages, viewports)
- Capture clean baselines with network idle
- Run pixel diffs against threshold
- Convert failures into actionable fixes
Quick Start
User: "Did my CSS change break anything?"
→ Define scope → Capture baseline → Run diff → Report pass/fail
Workflow
-
Define snapshot scope. Pick critical pages/components and three base viewports: mobile, tablet, desktop.
-
Capture clean baselines. Wait for network idle and mask dynamic regions.
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Capture current state with matching settings. Use identical viewport/device/browser settings for comparability.
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Run diff and classify. Compute pixel deltas and mark pass/warn/fail against threshold.
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Convert failures into actionable fixes. Map each diff to CSS/layout/asset causes and patch.
Guardrails
- Do not auto-update baselines without explicit intent.
- Keep dynamic content excluded to reduce false positives.
- Report diff percentages with file names and viewport labels.
- Store baselines and diffs in deterministic folder names.
What ships with it
2 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.
- today First seen · 47 lines · 37 tokens per session scan A ffcfe31753ca
ae-ltd-visual-regression-forge is a skill published in the GitHub repository aegntic/cldcde (11 stars, last pushed today), licensed MIT. It adds 37 tokens to every session and 320 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 2026-11-05.
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