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 ShubhenduVaid/flipbook --skill validate-with-recordinggit clone --depth 1 https://github.com/ShubhenduVaid/flipbookWrote 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/shubhenduvaid/flipbook/validate-with-recording)<a href="https://agentmods.dev/skills/shubhenduvaid/flipbook/validate-with-recording"><img src="https://agentmods.dev/badge/skills/shubhenduvaid/flipbook/validate-with-recording/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/shubhenduvaid/flipbook/validate-with-recording"><img src="https://agentmods.dev/badge/skills/shubhenduvaid/flipbook/validate-with-recording.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 | $0.00081 | $0.02551 |
| Opus 5 | $0.00041 | $0.01275 |
| Sonnet 5 | $0.00016 | $0.00510 |
| Haiku 4.5 | $0.00008 | $0.00255 |
Grade A, and why
validate-with-recording 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 206 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Screen-recording QA
Why this exists
Screenshots show states, not behaviour. Everything between two screenshots is invisible: a spinner that never stops, a layout that shifts 200 ms after paint, a toast that appears and vanishes, a double-submit, a flash of unstyled content, or the simple fact that a step took eleven seconds. A before/after pair cannot distinguish "it worked" from "it worked eventually, badly".
This skill records the browser continuously while you drive it, then converts the recording into evidence you can actually read.
Note that mcp__claude-in-chrome__gif_creator does not solve this. It stitches
together screenshots you already took and exports them for a human to download — it
returns nothing to you, and adds no information you did not already have. Worse, the
vision API only ever reads a GIF's first frame, so an animated GIF is not something
you can watch. If you have one, pass it to analyze_recording, which decodes every
frame.
The constraint that shapes everything
You cannot be shown a video. There is no video input, and animations are not supported. So the tools convert a recording into a budgeted set of stills plus structured text.
The budget is real and small: images cost a flat 1600 tokens each, and a tool result
stays untruncated only under ~12,500 tokens — about seven images. Default is six:
one contact sheet plus five detail frames. Do not raise max_images casually; prefer
get_frames to drill into a specific moment.
Two rules about the window, or you will record nothing
Both of these were found the hard way, and both produce a recording that looks valid and contains nothing.
-
The tab you are validating must be the active tab of its window. Window capture records what the window paints, and a window paints only its active tab. Claude in Chrome happily drives a background tab — and that tab will not appear in the recording at all. Switch to it first.
-
No other window may be sitting on top of the target window. macOS marks a covered window occluded and the browser stops painting it, so the capture shows frozen browser chrome and a blank page. Two browser windows at nearly the same position are the usual culprit. Being behind a full-screen terminal on a different Space is fine; being underneath another window on the same Space is not.
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.
- 9d ago First seen · 206 lines · 81 tokens per session scan A 2a2383b265f9
validate-with-recording is a skill published in the GitHub repository ShubhenduVaid/flipbook (0 stars, last pushed 1mo ago), licensed MIT. It adds 81 tokens to every session and 2,551 once invoked, about $0.0004 per session on Opus 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 2026-08-31.
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